Publications

2017

  • R. Walecki, O. Rudovic, V. Pavlovic, B. Schuller, and M. Pantic, “Deep Structured Learning for Facial Expression Intensity Estimation,” in IEEE Int’l Conf. Computer Vision and Pattern Recognition, 2017.
    [BibTeX]
    @inproceedings{walecki17cvpr,
    author = {Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Schuller, Bjorn and Pantic, Maja},
    booktitle = {IEEE Int'l Conf. Computer Vision and Pattern Recognition},
    date-added = {2017-01-17 15:41:28 +0000},
    date-modified = {2017-01-17 15:43:23 +0000},
    interhash = {956179029a34e1c71fc4b94fb1a90ee8},
    intrahash = {fd5d11a30fb9f63aa76cfe46783b9bd8},
    title = {Deep Structured Learning for Facial Expression Intensity Estimation},
    year = 2017
    }

  • B. Gholami, O. Rudovic, and V. Pavlovic, “PUnDA: Probabilistic Unsupervised Domain Adaptation,” in Proc. IEEE International Conference Computer Vision, 2017.
    [BibTeX]
    @inproceedings{behnam17iccv,
    author = {Gholami, Behnam and Rudovic, Ognjen and Pavlovic, Vladimir},
    booktitle = {Proc. IEEE International Conference Computer Vision},
    interhash = {4a8c0ac9cfbd7b02e2d86ef7b5a289a0},
    intrahash = {9fd2aed9b960e71bf2472b5d70079060},
    owner = {vladimir},
    title = {PUnDA: Probabilistic Unsupervised Domain Adaptation},
    year = 2017
    }

  • L. Sheng, J. Cai, T. Cham, V. Pavlovic, and K. N. Ngan, “A Generative Model for Depth-based Robust 3D Facial Pose Tracking,” in IEEE Int’l Conf. Computer Vision and Pattern Recognition, 2017.
    [BibTeX]
    @inproceedings{sheng17cvpr,
    author = {Sheng, Lu and Cai, Jianfei and Cham, Tat-Jen and Pavlovic, Vladimir and Ngan, King Ngi},
    booktitle = {IEEE Int'l Conf. Computer Vision and Pattern Recognition},
    date-added = {2017-01-17 15:45:33 +0000},
    date-modified = {2017-01-17 15:46:47 +0000},
    interhash = {112c6e22dda03c3d485b79595d210af1},
    intrahash = {e18c6335e20344d4a11bceb8ec657b57},
    note = {Under review. 25\% contribution.},
    title = {A Generative Model for Depth-based Robust 3D Facial Pose Tracking},
    year = 2017
    }

  • C. Chen, H. X. Pham, V. Pavlovic, J. Cai, G. Shi, and Y. Gao, “Using 3D Face Priors for Depth Recovery,” J. Visual Commun. Image Represent., 2017.
    [BibTeX]
    @article{chen17jvcir,
    author = {Chen, Chongyu and Pham, Hai Xuan and Pavlovic, Vladimir and Cai, Jianfei and Shi, Guangming and Gao, Yuefang},
    interhash = {14284536d8e03504dfb06b171c8598fe},
    intrahash = {d52164653eb6d2d7324656f9cbc20d3f},
    journal = {J. Visual Commun. Image Represent.},
    owner = {vladimir},
    title = {Using 3D Face Priors for Depth Recovery},
    year = 2017
    }

  • H. Pham and V. Pavlovic, “Speech-driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach,” in IEEE Int’l Conf. Computer Vision and Pattern Recognition – Workshop on Deep Affective Learning and Context Modeling, 2017.
    [BibTeX]
    @inproceedings{pham17cvpr,
    author = {Pham, Hai and Pavlovic, Vladimir},
    booktitle = {IEEE Int'l Conf. Computer Vision and Pattern Recognition - Workshop on Deep Affective Learning and Context Modeling},
    interhash = {538627e583e79fae93dd8af09fcdc7eb},
    intrahash = {e6c72a93e19dd9fe1270b6d559534637},
    owner = {vladimir},
    title = {Speech-driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach},
    year = 2017
    }

  • R. Walecki, O. Rudovic, V. Pavlovic, and M. Pantic, “A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity,” IEEE Trans. Affective Computing, 2017.
    [BibTeX]
    @article{walecki17tac,
    author = {Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    date-added = {2017-01-17 15:39:15 +0000},
    date-modified = {2017-01-17 15:40:40 +0000},
    interhash = {000196a8c6667ae46305ba2121d21bb4},
    intrahash = {8d3b087fe631c979c696cb709549ac9e},
    journal = {{IEEE} Trans. Affective Computing},
    note = {Under review. 25\% contribution.},
    title = {A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity},
    year = 2017
    }

  • J. Kim and V. Pavlovic, “Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks,” SPIE Journal of Electronic Imaging, 2017. doi:10.1117/1.JEI.26.1.011018
    [BibTeX]
    @article{jongpil16spie,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    date-added = {2016-09-11 21:37:27 +0000},
    date-modified = {2017-01-17 15:49:38 +0000},
    doi = {10.1117/1.JEI.26.1.011018},
    interhash = {0b5ba506800f82bb385df4391c8290d9},
    intrahash = {0a2ffe339e53fea346b16501a76c5844},
    journal = {{SPIE} Journal of Electronic Imaging},
    note = {Accepted for publication. 50\% contribution.},
    title = {Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks},
    year = 2017
    }

  • B. Babagholami and V. Pavlovic, “Probabilistic Temporal Subspace Clustering,” in IEEE Int’l Conf. Computer Vision and Pattern Recognition, 2017.
    [BibTeX]
    @inproceedings{babagholami17cvpr,
    author = {Babagholami, Behnam and Pavlovic, Vladimir},
    booktitle = {IEEE Int'l Conf. Computer Vision and Pattern Recognition},
    date-added = {2017-01-17 15:43:46 +0000},
    date-modified = {2017-01-17 15:45:08 +0000},
    interhash = {92906adf52c283061c4f06eaac54aeca},
    intrahash = {e0a04837c7cd0540d2cd2f0aa442a097},
    note = {Under review. 50\% contribution.},
    title = {Probabilistic Temporal Subspace Clustering},
    year = 2017
    }

  • L. Zhao, F. Han, M. Kapadia, V. Pavlovic, and D. Metaxas, “Sketch-based Face Editing in Video Using Identity Deformation Transfer,” , 2017.
    [BibTeX] [Abstract]

    We address the problem of using hand-drawn sketch to edit facial identity, such as enlarging the shape or modifying the position of eyes or mouth, in the whole video. This task is formulated as a 3D face model reconstruction and deformation problem. We first introduce a two-stage real-time 3D face model fitting schema to recover facial identity and expressions from the video. We recognize the user’s editing intention from the input sketch as a set of facial modifications. A novel identity deformation algorithm is then proposed to transfer these deformations from 2D space to 3D facial identity directly, while preserving the facial expressions. Finally, these changes are propagated to the whole video with the modified identity. Experimental results demonstrate that our method can effectively edit facial identity in video based on the input sketch with high consistency and fidelity.

    @electronic{zhao17arx,
    abstract = {We address the problem of using hand-drawn sketch to edit facial identity, such as enlarging the shape or modifying the position of eyes or mouth, in the whole video. This task is formulated as a 3D face model reconstruction and deformation problem. We first introduce a two-stage real-time 3D face model fitting schema to recover facial identity and expressions from the video. We recognize the user's editing intention from the input sketch as a set of facial modifications. A novel identity deformation algorithm is then proposed to transfer these deformations from 2D space to 3D facial identity directly, while preserving the facial expressions. Finally, these changes are propagated to the whole video with the modified identity. Experimental results demonstrate that our method can effectively edit facial identity in video based on the input sketch with high consistency and fidelity.},
    author = {Zhao, Long and Han, Fangda and Kapadia, Mubbasir and Pavlovic, Vladimir and Metaxas, Dimitris},
    eprint = {1703.08738v1},
    eprintclass = {cs.CV},
    eprinttype = {arXiv},
    file = {online:http\://arxiv.org/pdf/1703.08738v1:PDF},
    interhash = {e0fdd95d3a3c7af19fc1f8e93d2368d2},
    intrahash = {1e0ded1cf5f35f86233de023b4cfbf48},
    owner = {vladimir},
    title = {Sketch-based Face Editing in Video Using Identity Deformation Transfer},
    year = 2017
    }

  • R. Walecki, O. Rudovic, V. Pavlovic, and M. Pantic, “Expert Ordinal Convolutional Neural Networks for Facial Action Unit Intensity Estimation,” in IEEE International Conference on Face and Gesture, FG 2017, 2017.
    [BibTeX]
    @inproceedings{walecki17fg,
    author = {Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    booktitle = {{IEEE} International Conference on Face and Gesture, {FG} 2017},
    date-added = {2016-10-13 00:54:22 +0000},
    date-modified = {2016-10-13 00:58:27 +0000},
    interhash = {0a92eefa7c1475dcfc3f6a83ffbd577e},
    intrahash = {2544ec79e938c1e3332845572f0a4212},
    note = {Under review. 25\% contribution.},
    title = {Expert Ordinal Convolutional Neural Networks for Facial Action Unit Intensity Estimation},
    year = 2017
    }

2016

  • J. Kim and V. Pavlovic, “A Shape Preserving Approach for Salient Object Detection Using Convolutional Neural Networks,” in Proc. Intl. Conf. Pattern Recognition (ICPR), Cancun, Mexico, 2016.
    [BibTeX]
    @inproceedings{jongpil16icpr,
    address = {Cancun, Mexico},
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    booktitle = {Proc. Intl. Conf. Pattern Recognition (ICPR)},
    date-added = {2016-09-11 21:27:37 +0000},
    date-modified = {2016-09-11 21:28:50 +0000},
    interhash = {8fafa08175aa9fddfa995b5b889a0c09},
    intrahash = {6e251190789b828e2d1c0adc2dead04a},
    month = {Dec.},
    note = {50\% contribution.},
    title = {A Shape Preserving Approach for Salient Object Detection Using Convolutional Neural Networks},
    year = 2016
    }

  • R. Walecki, O. Rudovic, V. Pavlovic, and M. Pantic, “Variable-state Latent Conditional Random Field Models for Facial Expression Analysis,” Image and Vision Computing, 2016.
    [BibTeX]
    @article{walecki16imavis,
    author = {Walecki, R. and Rudovic, O. and Pavlovic, V. and Pantic, M.},
    date-added = {2016-09-11 21:18:32 +0000},
    date-modified = {2016-09-11 21:19:22 +0000},
    interhash = {1fe9dd1f4c5de141aedf2a5878568c81},
    intrahash = {529caf0e9c87ffd8d23fe6bc48eed012},
    journal = {Image and Vision Computing},
    note = {25\% contribution.},
    title = {Variable-state Latent Conditional Random Field Models for Facial Expression Analysis},
    year = 2016
    }

  • H. X. Pham and V. Pavlovic, “Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variations,” in Proc. Intl. Conf. on 3D Vision (3DV), Stanford University, CA, 2016.
    [BibTeX]
    @inproceedings{pham163dv,
    address = {Stanford University, CA},
    author = {Pham, Hai Xuan and Pavlovic, Vladimir},
    booktitle = {Proc. Intl. Conf. on 3D Vision (3DV)},
    date-added = {2016-09-11 21:31:16 +0000},
    date-modified = {2016-09-11 21:33:15 +0000},
    interhash = {714679902d399c0a57bcd409036e9d84},
    intrahash = {9839e116886ec0b14d00fc94de5420a8},
    month = {Oct.},
    note = {50\% contribution.},
    title = {Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variations},
    year = 2016
    }

  • J. Kim and V. Pavlovic, “Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks,” in Proc. Intl. Conf. Pattern Recognition (ICPR), Cancun, Mexico, 2016.
    [BibTeX]
    @inproceedings{jongpil16icpr_coin,
    address = {Cancun, Mexico},
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    booktitle = {Proc. Intl. Conf. Pattern Recognition (ICPR)},
    date-added = {2016-09-11 21:28:58 +0000},
    date-modified = {2016-09-11 21:29:55 +0000},
    interhash = {8d117da806ea87bc6132571a654a3738},
    intrahash = {3c94cf8c2d0fa8aabac04996c578c9a3},
    month = {Dec.},
    note = {50\% contribution.},
    title = {Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks},
    year = 2016
    }

  • C. Song, S. Yoon, and V. Pavlovic, “Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty,” in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona, {USA.}, 2016, pp. 753-759.
    [BibTeX] [Download PDF]
    @inproceedings{yoon16aaai,
    address = {Phoenix, Arizona, {USA.}},
    author = {Song, Changkyu and Yoon, Sejong and Pavlovic, Vladimir},
    bdsk-url-1 = {http://arxiv.org/abs/1506.08928},
    booktitle = {Proceedings of the Thirtieth {AAAI} Conference on Artificial Intelligence},
    date-modified = {2016-09-11 21:16:22 +0000},
    interhash = {80a668f957347b60533b7e7eb19b3895},
    intrahash = {af426b0ad700e9f8ec39c9390ac62776},
    month = {February},
    note = {33\% contribution},
    pages = {753--759},
    title = {Fast {ADMM} Algorithm for Distributed Optimization with Adaptive Penalty},
    url = {http://arxiv.org/abs/1506.08928},
    year = 2016
    }

  • S. Yoon, M. Kapadia, P. Sahu, and V. Pavlovic, “Filling in the Blanks: Reconstructing Microscopic Crowd Motion from Multiple Disparate Noisy Sensors,” in 2016 IEEE Winter Applications of Computer Vision Workshops, WACV 2016 Workshops, 2016, pp. 1-9.
    [BibTeX]
    @inproceedings{yoon16wacvws,
    author = {Yoon, Sejong and Kapadia, Mubbasir and Sahu, Pritish and Pavlovic, Vladimir},
    booktitle = {2016 {IEEE} Winter Applications of Computer Vision Workshops, {WACV} 2016 Workshops},
    date-added = {2016-02-18 13:43:36 +0000},
    date-modified = {2016-09-11 21:17:46 +0000},
    interhash = {147df3eef3785ac36ea0d8bded905a27},
    intrahash = {7f4edff06d2cd8c931153e9483c85274},
    month = {March},
    note = {25\% contribution.},
    pages = {1--9},
    title = {Filling in the Blanks: Reconstructing Microscopic Crowd Motion from Multiple Disparate Noisy Sensors},
    year = 2016
    }

  • J. Kim and V. Pavlovic, “A Shape-based Approach for Saliency Object Detection using Deep Learning,” in Proc. European Conf. Computer Vision, 2016.
    [BibTeX]
    @inproceedings{jongpil16eccv,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    booktitle = {Proc. European Conf. Computer Vision},
    date-added = {2016-09-11 21:25:41 +0000},
    date-modified = {2016-09-11 21:27:29 +0000},
    interhash = {b8680263bf3a470c5dd741a1de9de665},
    intrahash = {9435cfe4b187927254a269fc1ee2a114},
    month = {Oct.},
    note = {50\% contribution.},
    title = {A Shape-based Approach for Saliency Object Detection using Deep Learning},
    year = 2016
    }

  • J. Kim and V. Pavlovic, “A Shape Based Approach for Salient Object Detection Using Convolutional Networks,” in arXiv, 2016.
    [BibTeX]
    @inproceedings{jongpil16cvpr,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    booktitle = {arXiv},
    date-added = {2016-02-18 13:47:55 +0000},
    date-modified = {2016-02-18 13:48:38 +0000},
    interhash = {f1ccd879ebf9e30335c6635c9ec5c6fa},
    intrahash = {6ad879bf67c8692ed80cfb3b60b23a34},
    note = {50\% contribution.},
    title = {A Shape Based Approach for Salient Object Detection Using Convolutional Networks},
    year = 2016
    }

  • R. Walecki, O. Rudovic, V. Pavlovic, and M. Pantic, “Copula Ordinal Regression for Joint Intensity Estimation of Facial Action Units,” in Proc. of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR’W 2016), Las Vegas, NV, 2016.
    [BibTeX]
    @inproceedings{walecki16cvpr,
    address = {Las Vegas, NV},
    author = {Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    booktitle = {Proc. of {IEEE} Int'l Conf. Computer Vision and Pattern Recognition (CVPR'W 2016)},
    date-modified = {2016-09-11 21:21:55 +0000},
    interhash = {56ab1cbdaca1ed746431bce004a50dfc},
    intrahash = {bb782d91816d6bcd7ec87840a02d7dc4},
    month = {June},
    note = {25\% contribution},
    title = {Copula Ordinal Regression for Joint Intensity Estimation of Facial Action Units},
    year = 2016
    }

  • H. X. Pham, V. Pavlovic, J. Cai, and T. Cham, “Robust Real-time Performance-driven 3D Face Tracking,” in Proc. Intl. Conf. Pattern Recognition (ICPR), Cancun, Mexico, 2016.
    [BibTeX]
    @inproceedings{pham16icpr,
    address = {Cancun, Mexico},
    author = {Pham, Hai Xuan and Pavlovic, Vladimir and Cai, Jianfei and Cham, Tat-Jen},
    booktitle = {Proc. Intl. Conf. Pattern Recognition (ICPR)},
    date-added = {2016-09-11 21:30:00 +0000},
    date-modified = {2016-09-11 21:31:09 +0000},
    interhash = {090b83863b5f0ed04baa7593bd3db933},
    intrahash = {ad5e862f9c696716283a69f3647e8da7},
    month = {Dec.},
    note = {25\% contribution.},
    title = {Robust Real-time Performance-driven 3D Face Tracking},
    year = 2016
    }

  • S. Yoon and V. Pavlovic, “Decentralized Probabilistic Learning For Sensor Networks,” in IEEE Global Conference on Signal and Information Processing, 2016.
    [BibTeX]
    @inproceedings{yoon16gsip,
    author = {Yoon, Sejong and Pavlovic, Vladimir},
    booktitle = {IEEE Global Conference on Signal and Information Processing},
    date-added = {2016-09-11 21:34:27 +0000},
    date-modified = {2016-09-11 21:35:57 +0000},
    interhash = {2d5090df46984d0da97669987ef0a934},
    intrahash = {947c966cf863770e82ac5334f2357d40},
    month = {Dec.},
    note = {50\% contribution.},
    title = {Decentralized Probabilistic Learning For Sensor Networks},
    year = 2016
    }

  • B. Babagholami, S. Yoon, and V. Pavlovic, “D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM,” in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona, {USA.}, 2016, pp. 1582-158.
    [BibTeX] [Download PDF]
    @inproceedings{behnam16aaai,
    address = {Phoenix, Arizona, {USA.}},
    author = {Babagholami, Behnam and Yoon, Sejong and Pavlovic, Vladimir},
    bdsk-url-1 = {http://arxiv.org/abs/1507.00824},
    booktitle = {Proceedings of the Thirtieth {AAAI} Conference on Artificial Intelligence},
    date-modified = {2016-09-11 21:16:12 +0000},
    interhash = {57ce827b44d33a17b5a8293ecb368976},
    intrahash = {8c071d095c1f81fcc1958e5ad4bdf8c9},
    month = {February},
    note = {33\% contribution},
    pages = {1582--158},
    title = {{D-MFVI}: Distributed Mean Field Variational Inference using Bregman {ADMM}},
    url = {http://arxiv.org/abs/1507.00824},
    year = 2016
    }

  • R. Walecki, O. Rudovic, M. Pantic, V. Pavlovic, and J. F. Cohn, “A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity,” in Proc. of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR’W 2016), Las Vegas, NV, 2016.
    [BibTeX]
    @inproceedings{walecki16cvprws,
    address = {Las Vegas, NV},
    author = {Walecki, R. and Rudovic, O. and Pantic, M. and Pavlovic, V. and Cohn, J. F.},
    booktitle = {Proc. of {IEEE} Int'l Conf. Computer Vision and Pattern Recognition (CVPR'W 2016)},
    date-added = {2016-09-11 21:20:12 +0000},
    date-modified = {2016-09-11 21:22:09 +0000},
    interhash = {c9e47816001cf902b4ec1869b4f073d4},
    intrahash = {fd2295d2051b8127c0161be5f12284de},
    month = {June},
    note = {25\% contribution.},
    title = {A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity},
    year = 2016
    }

2015

  • H. Pham, L. D. Nguyen, V. Pavlovic, J. Cai, C. Chen, and T. Cham, “Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes,” in arXiv, 2015.
    [BibTeX] [Download PDF]
    @inproceedings{pham15iccv,
    author = {Pham, Hai and Nguyen, Luc Dao and Pavlovic, Vladimir and Cai, Jianfei and Chen, Chongyu and Cham, Tat-Jen},
    bdsk-url-1 = {http://arxiv.org/abs/1507.02779},
    booktitle = {arXiv},
    interhash = {16321557b4e1073eae1c3aff4f9c10e7},
    intrahash = {0cd438aa176b9482d48dd1b8fe6a703a},
    note = {25\% contribution},
    title = {Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes},
    url = {http://arxiv.org/abs/1507.02779},
    year = 2015
    }

  • S. Yi and V. Pavlovic, “Multi-Cue Structure Preserving MRF for Unconstrained Video Segmentation,” in Int’l Conference on Computer Vision, 2015.
    [BibTeX] [Download PDF]
    @inproceedings{yi15iccv,
    author = {Yi, Saehoon and Pavlovic, Vladimir},
    bdsk-url-1 = {http://arxiv.org/abs/1506.09124},
    booktitle = {Int'l Conference on Computer Vision},
    interhash = {38b0df3e1b9b5f6882f0b67e1d60e503},
    intrahash = {d0a70673873f67b644454596152eca82},
    note = {50\% contribution},
    title = {Multi-Cue Structure Preserving {MRF} for Unconstrained Video Segmentation},
    url = {http://arxiv.org/abs/1506.09124},
    year = 2015
    }

  • H. X. Pham, C. Chen, L. D. Nguyen, V. Pavlovic, J. Cai, and T. Cham, “Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes,” International Journal of Computer Vision, 2015.
    [BibTeX]
    @article{pham15ijcv,
    author = {Pham, Hai Xuan and Chen, Chongyu and Nguyen, Luc Dao and Pavlovic, Vladimir and Cai, Jianfei and Cham, Tat-Jen},
    date-added = {2015-10-17 12:05:43 +0000},
    date-modified = {2015-10-17 12:06:50 +0000},
    interhash = {16321557b4e1073eae1c3aff4f9c10e7},
    intrahash = {29dd289610b96b7a450c87bf4a32a164},
    journal = {International Journal of Computer Vision},
    note = {under review; 25\% contribution},
    title = {Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes},
    year = 2015
    }

  • C. Dalal, V. Pavlovic, and R. Kopp, “Intrinsic Non-stationary Covariance Function for Climate Modeling,” in arXiv, 2015.
    [BibTeX] [Download PDF]
    @inproceedings{dalal15nips,
    author = {Dalal, Chintan and Pavlovic, Vladimir and Kopp, Robert},
    bdsk-url-1 = {http://arxiv.org/abs/1507.02356},
    booktitle = {arXiv},
    interhash = {57034ad5067ea95243bbcf1228ba5006},
    intrahash = {d2fa8e320249fcc5af3c4afc3adf803e},
    note = {33\% contribution},
    title = {Intrinsic Non-stationary Covariance Function for Climate Modeling},
    url = {http://arxiv.org/abs/1507.02356},
    year = 2015
    }

  • J. Kim and V. Pavlovic, “Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks,” in arXiv, 2015.
    [BibTeX] [Download PDF]
    @inproceedings{kim15iccv,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    bdsk-url-1 = {http://arxiv.org/abs/1506.09174},
    booktitle = {arXiv},
    interhash = {f0ef3867a78003ca6f70d82999aae90d},
    intrahash = {ffbd576789aec0c9b0aec8fe59cb49e0},
    note = {50\% contribution},
    title = {Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks},
    url = {http://arxiv.org/abs/1506.09174},
    year = 2015
    }

  • O. Rudovic, V. Pavlovic, and M. Pantic, “Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, iss. 5, pp. 944-958, 2015. doi:10.1109/TPAMI.2014.2356192
    [BibTeX] [Download PDF]
    @article{rudovic15pami,
    author = {Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://dx.doi.org/10.1109/TPAMI.2014.2356192},
    doi = {10.1109/TPAMI.2014.2356192},
    interhash = {d6a7a86e0abb1aefb214aa10ea859c47},
    intrahash = {f6be006d6492b0604ce91bb0fa77cfe3},
    journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
    note = {33\% contribution},
    number = 5,
    pages = {944-958},
    title = {Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units},
    url = {http://dx.doi.org/10.1109/TPAMI.2014.2356192},
    volume = 37,
    year = 2015
    }

  • C. Dalal, V. Pavlovic, and R. Kopp, “Sea-Level Estimation using the Riemannian Manifold and a Non-stationary Covariance Function,” in Proc. Climate Informatics 2015, 2015.
    [BibTeX]
    @inproceedings{dalal15ciw,
    author = {Dalal, Chintan and Pavlovic, Vladimir and Kopp, Robert},
    booktitle = {Proc. Climate Informatics 2015},
    date-added = {2015-10-17 12:07:45 +0000},
    date-modified = {2015-10-17 12:08:57 +0000},
    interhash = {2f5d4f3e92b02fb9b1fa5bcfb66040b2},
    intrahash = {195f1cbbba523c8fac9e0c28429ce925},
    note = {33% contribution},
    title = {Sea-Level Estimation using the Riemannian Manifold and a Non-stationary Covariance Function},
    year = 2015
    }

  • W. Yan, X. Han, and V. Pavlovic, “Structural Learning for Multiple Object Tracking,” Image and Vision Computing, 2015.
    [BibTeX]
    @article{wang15imavis,
    author = {Yan, Wang and Han, Xiaoye and Pavlovic, Vladimir},
    date-added = {2015-06-30 15:31:57 +0000},
    date-modified = {2015-06-30 15:37:05 +0000},
    interhash = {b1cdc3fb85d0ad4af1a2d8cc59a1d13d},
    intrahash = {329250f813a8c52f3baf4e7c9b19ce9e},
    journal = {Image and Vision Computing},
    note = {Under review. 33\% contribution.},
    title = {Structural Learning for Multiple Object Tracking},
    year = 2015
    }

  • C. Tran, V. Pavlovic, and R. Kopp, “Gaussian Process for Noisy Inputs with Ordering Constraints,” in arXiv, 2015.
    [BibTeX] [Download PDF]
    @inproceedings{tran15nips,
    author = {Tran, Cuong and Pavlovic, Vladimir and Kopp, Robert},
    bdsk-url-1 = {http://arxiv.org/abs/1507.00052},
    booktitle = {arXiv},
    interhash = {39ef0d3533f3dee31e2a9824dc762457},
    intrahash = {e376dd56d056c45d8464da51e8e07655},
    note = {33\% contribution},
    title = {Gaussian Process for Noisy Inputs with Ordering Constraints},
    url = {http://arxiv.org/abs/1507.00052},
    year = 2015
    }

  • R. Walecki, O. Rudovic, V. Pavlovic, and M. Pantic, “Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection,” in Proc. of IEEE International Conference on Automatic Face and Gesture Recognition, 2015, pp. 1-8.
    [BibTeX]
    @inproceedings{walecki15fg,
    author = {Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    booktitle = {Proc. of {IEEE} International Conference on Automatic Face and Gesture Recognition},
    interhash = {9bdae08cef1edcddcb6fba6cd9305757},
    intrahash = {9f6d813075fbe955acaafaab13d35938},
    month = May,
    note = {25\% contribution; oral},
    pages = {1-8},
    title = {Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection},
    year = 2015
    }

2014

  • S. Yi, P. W. Mirowski, T. K. Ho, and V. Pavlovic, “Pose Invariant Activity Classification for Multi-floor Indoor Localization,” in 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014, 2014, pp. 3505-3510. doi:10.1109/ICPR.2014.603
    [BibTeX] [Download PDF]
    @inproceedings{yi14icpr,
    author = {Yi, Saehoon and Mirowski, Piotr W. and Ho, Tin Kam and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICPR.2014.603},
    booktitle = {22nd International Conference on Pattern Recognition, {ICPR} 2014, Stockholm, Sweden, August 24-28, 2014},
    doi = {10.1109/ICPR.2014.603},
    interhash = {e122bbe31e2cfd3b3f4873ba4be739ca},
    intrahash = {b7e8d96fd45b5b619e659b505d30b8d5},
    note = {25% contribution},
    pages = {3505-3510},
    title = {Pose Invariant Activity Classification for Multi-floor Indoor Localization},
    url = {http://dx.doi.org/10.1109/ICPR.2014.603},
    year = 2014
    }

  • H. X. Pham and V. Pavlovic, “Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences,” in 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014, 2014, pp. 4194-4199. doi:10.1109/ICPR.2014.719
    [BibTeX] [Download PDF]
    @inproceedings{pham2014a,
    author = {Pham, Hai Xuan and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICPR.2014.719},
    booktitle = {22nd International Conference on Pattern Recognition, {ICPR} 2014, Stockholm, Sweden, August 24-28, 2014},
    doi = {10.1109/ICPR.2014.719},
    interhash = {2934d37da6da62a81b65e364f3b51d3d},
    intrahash = {889eb1f2d566d8ca029f49fbf87fbb2b},
    note = {50\% contribution},
    pages = {4194-4199},
    title = {Hybrid On-Line 3D Face and Facial Actions Tracking in {RGBD} Video Sequences},
    url = {http://dx.doi.org/10.1109/ICPR.2014.719},
    year = 2014
    }

  • C. Chen, H. X. Pham, V. Pavlovic, J. Cai, and G. Shi, “Depth Recovery with Face Priors,” in Computer Vision – ACCV 2014 – 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV, 2014, pp. 336-351. doi:10.1007/978-3-319-16817-3_22
    [BibTeX] [Download PDF]
    @inproceedings{chongyu2014accv,
    author = {Chen, Chongyu and Pham, Hai Xuan and Pavlovic, Vladimir and Cai, Jianfei and Shi, Guangming},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-16817-3_22},
    booktitle = {Computer Vision - {ACCV} 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part {IV}},
    doi = {10.1007/978-3-319-16817-3_22},
    interhash = {d4083aed24c91147c4ca504f59f664e5},
    intrahash = {7e6d43078ac9e93dedd5c32bfe4d6e8f},
    note = {20\% contribution},
    pages = {336-351},
    title = {Depth Recovery with Face Priors},
    url = {http://dx.doi.org/10.1007/978-3-319-16817-3_22},
    year = 2014
    }

  • O. Rudovic, M. Nicolaou, and V. Pavlovic, “Social Signal Processing,” , A. Vinciarelli, J. Burgoon, N. Magnenat-Thalmann, and M. Pantic, Eds., Cambridge University Press, 2014.
    [BibTeX]
    @inbook{rudovic14mlssp,
    author = {Rudovic, Ognjen and Nicolaou, Mihalis and Pavlovic, Vladimir},
    chapter = {Machine Learning Methods for Social Signal Processing},
    editor = {Vinciarelli, Alessandro and Burgoon, Judee and Magnenat-Thalmann, Nadia and Pantic, Maja},
    interhash = {72523324eb00d44ae4cffe83ca27d05a},
    intrahash = {fff6f43f0142e2c74c96192fe8f7d4bf},
    note = {33\% contribution},
    publisher = {Cambridge University Press},
    title = {Social Signal Processing},
    year = 2014
    }

  • J. Kim and V. Pavlovic, “Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding,” in Computer Vision – ECCV 2014 Workshops – Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I, 2014, pp. 149-164. doi:10.1007/978-3-319-16178-5_10
    [BibTeX] [Download PDF]
    @inproceedings{kim2014a,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-16178-5_10},
    booktitle = {Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {I}},
    doi = {10.1007/978-3-319-16178-5_10},
    interhash = {46f900d4cbf72014e36761e88e04c40c},
    intrahash = {1d9b0fa32d284af48e1b3eb02685c98f},
    note = {50\% contribution},
    pages = {149-164},
    title = {Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding},
    url = {http://dx.doi.org/10.1007/978-3-319-16178-5_10},
    year = 2014
    }

  • S. Yang, O. Rudovic, V. Pavlovic, and M. Pantic, “Personalized Modeling of Facial Action Unit Intensity,” in Advances in Visual Computing – 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II, 2014, pp. 269-281. doi:10.1007/978-3-319-14364-4_26
    [BibTeX] [Download PDF]
    @inproceedings{rudovic2014icvs,
    author = {Yang, Shuang and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-14364-4_26},
    booktitle = {Advances in Visual Computing - 10th International Symposium, {ISVC} 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part {II}},
    doi = {10.1007/978-3-319-14364-4_26},
    interhash = {18c7245c685684c380076210e08323c5},
    intrahash = {6362b7024106b5f8c8a303a3275dd7b3},
    note = {25% contribution},
    pages = {269-281},
    title = {Personalized Modeling of Facial Action Unit Intensity},
    url = {http://dx.doi.org/10.1007/978-3-319-14364-4_26},
    year = 2014
    }

  • S. Shariat and V. Pavlovic, “Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment,” Knowledge and Information Systems, 2014.
    [BibTeX]
    @article{shariat14kais,
    author = {Shariat, Shahriar and Pavlovic, Vladimir},
    date-modified = {2015-06-30 15:39:40 +0000},
    interhash = {5563475f5bacfe18e121bf012839d514},
    intrahash = {1bc7e9b3b5455bb7e703b5eae4f77c6d},
    journal = {Knowledge and Information Systems},
    note = {accepted. 50\% contribution.},
    title = {Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment},
    year = 2014
    }

  • S. Yoon and V. Pavlovic, “Sentiment Flow for Video Interestingness Prediction,” in Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, New York, NY, USA, 2014, pp. 29-34. doi:10.1145/2660505.2660513
    [BibTeX] [Download PDF]
    @inproceedings{yoon2014,
    address = {New York, NY, USA},
    author = {Yoon, Sejong and Pavlovic, Vladimir},
    bdsk-url-1 = {http://doi.acm.org/10.1145/2660505.2660513},
    bdsk-url-2 = {http://dx.doi.org/10.1145/2660505.2660513},
    booktitle = {Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia},
    doi = {10.1145/2660505.2660513},
    interhash = {2d8f1a59559281fd4c5f84d68eae707d},
    intrahash = {50c3721eca3f1d6f500d21bb815c2038},
    isbn = {978-1-4503-3120-3},
    location = {Orlando, Florida, USA},
    note = {50\% contribution},
    numpages = {6},
    pages = {29-34},
    publisher = {ACM},
    series = {HuEvent '14},
    title = {Sentiment Flow for Video Interestingness Prediction},
    url = {http://doi.acm.org/10.1145/2660505.2660513},
    year = 2014
    }

  • J. Kim and V. Pavlovic, “Ancient Coin Recognition Based on Spatial Coding,” in 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014, 2014, pp. 321-326. doi:10.1109/ICPR.2014.64
    [BibTeX] [Download PDF]
    @inproceedings{kim2014b,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICPR.2014.64},
    booktitle = {22nd International Conference on Pattern Recognition, {ICPR} 2014, Stockholm, Sweden, August 24-28, 2014},
    doi = {10.1109/ICPR.2014.64},
    interhash = {c31047836b9280e2499fd653f3f29d55},
    intrahash = {cae9b0e48967823e8e6cc1649047e5b7},
    note = {50\% contribution},
    pages = {321-326},
    title = {Ancient Coin Recognition Based on Spatial Coding},
    url = {http://dx.doi.org/10.1109/ICPR.2014.64},
    year = 2014
    }

  • M. A. Nicolaou, V. Pavlovic, and M. Pantic, “Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, iss. 7, pp. 1299-1311, 2014. doi:10.1109/TPAMI.2014.16
    [BibTeX] [Download PDF]
    @article{nicolaou14pami,
    author = {Nicolaou, Mihalis A. and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.16},
    bdsk-url-2 = {http://dx.doi.org/10.1109/TPAMI.2014.16},
    doi = {10.1109/TPAMI.2014.16},
    interhash = {2a8eccfde186c8a01819322bc3dcd31d},
    intrahash = {3b06983b3c47df26d503732340ee9701},
    journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
    note = {33\% contribution},
    number = 7,
    pages = {1299-1311},
    title = {Dynamic Probabilistic {CCA} for Analysis of Affective Behavior and Fusion of Continuous Annotations},
    url = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.16},
    volume = 36,
    year = 2014
    }

2013

  • J. Kim, S. Yoon, and V. Pavlovic, “Relative spatial features for image memorability,” in ACM Multimedia Conference, MM ’13, Barcelona, Spain, October 21-25, 2013, 2013, pp. 761-764. doi:10.1145/2502081.2502198
    [BibTeX] [Download PDF]
    @inproceedings{kim2013,
    author = {Kim, Jongpil and Yoon, Sejong and Pavlovic, Vladimir},
    bdsk-url-1 = {http://doi.acm.org/10.1145/2502081.2502198},
    bdsk-url-2 = {http://dx.doi.org/10.1145/2502081.2502198},
    bibsource = {dblp computer science bibliography, http://dblp.org},
    booktitle = {{ACM} Multimedia Conference, {MM} '13, Barcelona, Spain, October 21-25, 2013},
    doi = {10.1145/2502081.2502198},
    interhash = {b6ab14406190c57c1d6ce0274030db65},
    intrahash = {78a3165de4c5333ddab8136f92f4fba6},
    note = {33\% contribution},
    pages = {761-764},
    title = {Relative spatial features for image memorability},
    url = {http://doi.acm.org/10.1145/2502081.2502198},
    year = 2013
    }

  • O. Rudovic, V. Pavlovic, and M. Pantic, “Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation,” in Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on, 2013, pp. 492-499. doi:10.1109/ICCVW.2013.70
    [BibTeX]
    @inproceedings{rudovic13iccv,
    author = {Rudovic, O. and Pavlovic, V. and Pantic, M.},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICCVW.2013.70},
    booktitle = {Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on},
    doi = {10.1109/ICCVW.2013.70},
    interhash = {9e62b242282b17ffe55232aa81e15424},
    intrahash = {fd1cc8932b35477b833f7ef8c36f1184},
    month = Dec,
    note = {33\% contribution},
    pages = {492-499},
    title = {Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation},
    year = 2013
    }

  • O. Rudovic, V. Pavlovic, and M. Pantic, “Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,” in Advances in Visual Computing – 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II, 2013, pp. 234-243. doi:10.1007/978-3-642-41939-3_23
    [BibTeX] [Download PDF]
    @inproceedings{rudovic13isvc,
    author = {Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-41939-3_23},
    booktitle = {Advances in Visual Computing - 9th International Symposium, {ISVC} 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part {II}},
    doi = {10.1007/978-3-642-41939-3_23},
    interhash = {a9612f4de2f97888b0e6c8c97f0ebadf},
    intrahash = {909e8e27610f975c32cf327cf6e18c25},
    note = {33\% contribution},
    pages = {234-243},
    title = {Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields},
    url = {http://dx.doi.org/10.1007/978-3-642-41939-3_23},
    year = 2013
    }

  • S. Yi and V. Pavlovic, “Spatio-temporal Context Modeling for BoW-Based Video Classification,” in Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on, 2013, pp. 779-786. doi:10.1109/ICCVW.2013.107
    [BibTeX]
    @inproceedings{yi13iccv,
    author = {Yi, Saehoon and Pavlovic, V.},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICCVW.2013.107},
    booktitle = {Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on},
    doi = {10.1109/ICCVW.2013.107},
    interhash = {181852029a759c04ca83d09563132ac9},
    intrahash = {5162d327a8721ec8bc8894355cc54fc9},
    month = Dec,
    note = {50\% contribution},
    pages = {779-786},
    title = {Spatio-temporal Context Modeling for BoW-Based Video Classification},
    year = 2013
    }

  • S. Shariat and V. Pavlovic, “A New Adaptive Segmental Matching Measure for Human Activity Recognition,” in IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013, 2013, pp. 3583-3590. doi:10.1109/ICCV.2013.445
    [BibTeX] [Download PDF]
    @inproceedings{shariat13iccv,
    author = {Shariat, Shahriar and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICCV.2013.445},
    booktitle = {{IEEE} International Conference on Computer Vision, {ICCV} 2013, Sydney, Australia, December 1-8, 2013},
    doi = {10.1109/ICCV.2013.445},
    interhash = {60cfbb8bbbe6b578fdb3750a1a0e2f92},
    intrahash = {c853c78781cd93e80851e7e93eef3f31},
    note = {50\% contribution},
    pages = {3583-3590},
    title = {A New Adaptive Segmental Matching Measure for Human Activity Recognition},
    url = {http://dx.doi.org/10.1109/ICCV.2013.445},
    year = 2013
    }

  • J. Hu, H. Zhang, A. Miliou, T. Tsimpidis, H. Thornton, and V. Pavlovic, “Categorization of Underwater Habitats Using Dynamic Video Textures,” in Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on, 2013, pp. 838-843. doi:10.1109/ICCVW.2013.115
    [BibTeX]
    @inproceedings{hu13iccv,
    author = {Hu, Jun and Zhang, Han and Miliou, A. and Tsimpidis, T. and Thornton, H. and Pavlovic, V.},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICCVW.2013.115},
    booktitle = {Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on},
    doi = {10.1109/ICCVW.2013.115},
    interhash = {bf9258d90de814475a1b26b96993d7cf},
    intrahash = {12b7590b5d97ae6b7c7a550488db2f62},
    month = Dec,
    note = {33\% contribution},
    pages = {838-843},
    title = {Categorization of Underwater Habitats Using Dynamic Video Textures},
    year = 2013
    }

2012

  • P. P. Kuksa, I. Khan, and V. Pavlovic, “Generalized Similarity Kernels for Efficient Sequence Classification,” in Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012., 2012, pp. 873-882. doi:10.1137/1.9781611972825.75
    [BibTeX] [Download PDF]
    @inproceedings{kuksa12sdm,
    author = {Kuksa, Pavel P. and Khan, Imdadullah and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1137/1.9781611972825.75},
    booktitle = {Proceedings of the Twelfth {SIAM} International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012.},
    doi = {10.1137/1.9781611972825.75},
    interhash = {1fb6e69efc0871a91f26d9445af53204},
    intrahash = {43313c1bfb1f954c1a3bfc88d70e9d2b},
    note = {33\% contribution},
    pages = {873-882},
    title = {Generalized Similarity Kernels for Efficient Sequence Classification},
    url = {http://dx.doi.org/10.1137/1.9781611972825.75},
    year = 2012
    }

  • W. Yan, X. Han, and V. Pavlovic, “Structured Learning for Multiple Object Tracking,” in British Machine Vision Conference, BMVC 2012, Surrey, UK, September 3-7, 2012, 2012, pp. 1-12. doi:10.5244/C.26.48
    [BibTeX] [Download PDF]
    @inproceedings{Yan2012BMVC,
    author = {Yan, Wang and Han, Xiaoye and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.5244/C.26.48},
    booktitle = {British Machine Vision Conference, {BMVC} 2012, Surrey, UK, September 3-7, 2012},
    doi = {10.5244/C.26.48},
    interhash = {5c412dbb1b3c5ac510e7c1972a59292d},
    intrahash = {d4ca627b87f46ca90f62cf4e6e9cc895},
    note = {33\% contribution},
    pages = {1-12},
    title = {Structured Learning for Multiple Object Tracking},
    url = {http://dx.doi.org/10.5244/C.26.48},
    year = 2012
    }

  • S. Shariat and V. Pavlovic, “Improved sequence classification using adaptive segmental sequence alignment,” in Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012, 2012, pp. 379-394.
    [BibTeX] [Download PDF]
    @inproceedings{shariat12acml,
    author = {Shariat, Shahriar and Pavlovic, Vladimir},
    bdsk-url-1 = {http://jmlr.csail.mit.edu/proceedings/papers/v25/shariat12.html},
    booktitle = {Proceedings of the 4th Asian Conference on Machine Learning, {ACML} 2012, Singapore, Singapore, November 4-6, 2012},
    interhash = {4846afa4d695c6a6a0d0cd2722b72e32},
    intrahash = {ea3e09a699ad228f2723a79bfddeef47},
    note = {50\% contribution},
    pages = {379-394},
    title = {Improved sequence classification using adaptive segmental sequence alignment},
    url = {http://jmlr.csail.mit.edu/proceedings/papers/v25/shariat12.html},
    year = 2012
    }

  • C. Hendahewa and V. Pavlovic, “Analysis of Causality in Stock Market Data,” in 11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1, 2012, pp. 288-293. doi:10.1109/ICMLA.2012.56
    [BibTeX] [Download PDF]
    @inproceedings{hendahewa12,
    author = {Hendahewa, Chathra and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICMLA.2012.56},
    booktitle = {11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1},
    doi = {10.1109/ICMLA.2012.56},
    interhash = {9cef70fa1b0f621a2f4a6d0b98a59cdd},
    intrahash = {782fb87618fe8385b92adf94c15c39e0},
    note = {50\% contribution},
    pages = {288-293},
    title = {Analysis of Causality in Stock Market Data},
    url = {http://dx.doi.org/10.1109/ICMLA.2012.56},
    year = 2012
    }

  • M. Kim and V. Pavlovic, “Conditional Ordinal Random Fields for Structured Ordinal-Valued Label Prediction,” Data Min. Knowl. Discov., 2012.
    [BibTeX]
    @article{kim12dmkd:sub,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    date-added = {2012-12-11 03:35:13 +0000},
    date-modified = {2012-12-11 03:36:29 +0000},
    interhash = {479f5179d7d67a58a60851dd62263d9f},
    intrahash = {3e5959b309fdbdc61d38a33115415cfa},
    journal = {Data Min. Knowl. Discov.},
    note = {50\% contribution},
    title = {Conditional Ordinal Random Fields for Structured Ordinal-Valued Label Prediction},
    year = 2012
    }

  • J. Kim and V. Pavlovic, “Attribute rating for classification of visual objects,” in Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, 2012, pp. 1611-1614.
    [BibTeX] [Download PDF]
    @inproceedings{kim2012icpr,
    author = {Kim, Jongpil and Pavlovic, Vladimir},
    bdsk-url-1 = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6460454},
    booktitle = {Proceedings of the 21st International Conference on Pattern Recognition, {ICPR} 2012, Tsukuba, Japan, November 11-15, 2012},
    interhash = {228c1145bc605eb418505969bf9eff23},
    intrahash = {fff6064ed6496112263549468adf5042},
    note = {50\% contribution},
    pages = {1611-1614},
    title = {Attribute rating for classification of visual objects},
    url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6460454},
    year = 2012
    }

  • S. Yi and V. Pavlovic, “Sparse Granger causality graphs for human action classification,” in Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012, 2012, pp. 3374-3377.
    [BibTeX] [Download PDF]
    @inproceedings{yi12icpr,
    author = {Yi, Saehoon and Pavlovic, Vladimir},
    bdsk-url-1 = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6460888},
    booktitle = {Proceedings of the 21st International Conference on Pattern Recognition, {ICPR} 2012, Tsukuba, Japan, November 11-15, 2012},
    interhash = {bcf0381d020ca4028f1401cafd52b16d},
    intrahash = {dbb7b279d7ed6b6c45877eb6eabe8c69},
    note = {50\% contribution},
    pages = {3374-3377},
    title = {Sparse Granger causality graphs for human action classification},
    url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6460888},
    year = 2012
    }

  • M. A. Nicolaou, V. Pavlovic, and M. Pantic, “Dynamic Probabilistic CCA for Analysis of Affective Behaviour,” in Computer Vision – ECCV 2012 – 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII, 2012, pp. 98-111. doi:10.1007/978-3-642-33786-4_8
    [BibTeX] [Download PDF]
    @inproceedings{nicolaou12eccv,
    author = {Nicolaou, Mihalis A. and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-33786-4_8},
    booktitle = {Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {VII}},
    doi = {10.1007/978-3-642-33786-4_8},
    interhash = {2f29839630805c9e4f0606bd26e4234a},
    intrahash = {4c2d43bfabf4587526a01514762fed6f},
    note = {33\% contribution},
    pages = {98-111},
    title = {Dynamic Probabilistic {CCA} for Analysis of Affective Behaviour},
    url = {http://dx.doi.org/10.1007/978-3-642-33786-4_8},
    year = 2012
    }

  • O. Rudovic, V. Pavlovic, and M. Pantic, “Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units,” in Computer Vision – ECCV 2012. Workshops and Demonstrations – Florence, Italy, October 7-13, 2012, Proceedings, Part II, 2012, pp. 260-269. doi:10.1007/978-3-642-33868-7_26
    [BibTeX] [Download PDF]
    @inproceedings{rudovic12eccvws,
    author = {Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-33868-7_26},
    booktitle = {Computer Vision - {ECCV} 2012. Workshops and Demonstrations - Florence, Italy, October 7-13, 2012, Proceedings, Part {II}},
    doi = {10.1007/978-3-642-33868-7_26},
    interhash = {6390e67b0cd4fc9ac25fe7471e86b6d8},
    intrahash = {3b92f224175bb2fa9a6df92ae35598e4},
    note = {33\% contribution},
    pages = {260-269},
    title = {Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units},
    url = {http://dx.doi.org/10.1007/978-3-642-33868-7_26},
    year = 2012
    }

  • S. Yoon and V. Pavlovic, “Distributed Probabilistic Learning for Camera Networks,” Rutgers, DCS-TR-696, 2012.
    [BibTeX] [Abstract]

    Probabilistic approaches to computer vision typically assume a centralized setting, with the algorithm granted access to all observed data points. However, many problems in wide-area surveillance can bene t from distributed modeling, either because of physical or computations constraints. In this work we present an approach to estimation and learning of generative probabilistic models in a distributed context. In particular, we show how traditional centralized models, such as probabilistic principal component analysis (PPCA), can be learned when the data is distributed across a network of sensors. We demonstrate the utility of this approach on the problem of distributed ane structure from motion (SfM). Our experiments suggest that the accuracy of the accuracy of the learned probabilistic structure and motion models rivals that of traditional centralized factorization methods.

    @techreport{yoon2012a,
    abstract = {Probabilistic approaches to computer vision typically assume a centralized setting, with the algorithm granted access to all observed data points. However, many problems in wide-area surveillance can benet from distributed modeling, either because of physical or computations constraints. In this work we present an approach to estimation and learning of generative probabilistic models in a distributed context. In
    particular, we show how traditional centralized models, such as probabilistic principal component analysis (PPCA), can be learned when the data is distributed across a network of sensors. We demonstrate the utility of this approach on the problem of distributed ane structure from motion (SfM). Our experiments suggest that the accuracy of the accuracy of the learned probabilistic structure and motion models rivals that of traditional centralized factorization methods.},
    author = {Yoon, Sejong and Pavlovic, Vladimir},
    date-added = {2012-12-07 20:09:22 +0000},
    date-modified = {2012-12-07 20:09:22 +0000},
    institution = {Rutgers},
    interhash = {77430291c95b3437ccf3f5d2806c5d37},
    intrahash = {53ad49ceb89cce165244b8737aa3e694},
    month = {6},
    note = {50\% contribution},
    number = {DCS-TR-696},
    title = {{D}istributed {P}robabilistic {L}earning for {C}amera {N}etworks},
    year = 2012
    }

  • P. P. Kuksa and V. Pavlovic, “Efficient evaluation of large sequence kernels,” in The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’12, Beijing, China, August 12-16, 2012, 2012, pp. 759-767. doi:10.1145/2339530.2339649
    [BibTeX] [Download PDF]
    @inproceedings{kuksa12kdd,
    author = {Kuksa, Pavel P. and Pavlovic, Vladimir},
    bdsk-url-1 = {http://doi.acm.org/10.1145/2339530.2339649},
    bdsk-url-2 = {http://dx.doi.org/10.1145/2339530.2339649},
    booktitle = {The 18th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '12, Beijing, China, August 12-16, 2012},
    doi = {10.1145/2339530.2339649},
    interhash = {a3a8d6eaa4077f694529a7e5625ac5a0},
    intrahash = {f3f9fc8b149dad8c02cc9a791357b880},
    note = {50\% contribution},
    pages = {759-767},
    title = {Efficient evaluation of large sequence kernels},
    url = {http://doi.acm.org/10.1145/2339530.2339649},
    year = 2012
    }

  • O. Rudovic, V. Pavlovic, and M. Pantic, “Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation,” in 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012, 2012, pp. 2634-2641. doi:10.1109/CVPR.2012.6247983
    [BibTeX] [Download PDF]
    @inproceedings{rudovic12cvpr,
    author = {Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja},
    bdsk-url-1 = {http://dx.doi.org/10.1109/CVPR.2012.6247983},
    booktitle = {2012 {IEEE} Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012},
    doi = {10.1109/CVPR.2012.6247983},
    interhash = {6601912f0c6870e10bf641146d41716d},
    intrahash = {32c7ce851a558df6a68e81492bdabc1f},
    note = {33\% contribution},
    pages = {2634-2641},
    title = {Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation},
    url = {http://dx.doi.org/10.1109/CVPR.2012.6247983},
    year = 2012
    }

  • S. Yoon and V. Pavlovic, “Distributed Probabilistic Learning for Camera Networks with Missing Data,” in Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States., 2012, pp. 2933-2941.
    [BibTeX] [Download PDF]
    @inproceedings{yoon12nips,
    author = {Yoon, Sejong and Pavlovic, Vladimir},
    bdsk-url-1 = {http://papers.nips.cc/paper/4629-distributed-probabilistic-learning-for-camera-networks-with-missing-data},
    booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.},
    interhash = {f9f5cd22ca96693801cc1afafe8c8b18},
    intrahash = {5916461a3d9497c33565edcaf11362ba},
    note = {50\% contribution},
    pages = {2933-2941},
    title = {Distributed Probabilistic Learning for Camera Networks with Missing Data},
    url = {http://papers.nips.cc/paper/4629-distributed-probabilistic-learning-for-camera-networks-with-missing-data},
    year = 2012
    }

2011

  • M. Kim and V. Pavlovic, “Central Subspace Dimensionality Reduction Using Covariance Operators,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, iss. 4, pp. 657-670, 2011. doi:10.1109/TPAMI.2010.111
    [BibTeX] [Download PDF]
    @article{kim11pami,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-url-1 = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.111},
    bdsk-url-2 = {http://dx.doi.org/10.1109/TPAMI.2010.111},
    doi = {10.1109/TPAMI.2010.111},
    interhash = {ada4e7c304175ddcf799308cd0def835},
    intrahash = {f3e7f8e71b69689d7120e624e4763811},
    journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
    note = {50\% contribution},
    number = 4,
    pages = {657-670},
    title = {Central Subspace Dimensionality Reduction Using Covariance Operators},
    url = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.111},
    volume = 33,
    year = 2011
    }

  • R. Huang, N. Sang, V. Pavlovic, and D. N. Metaxas, “A Belief Propagation algorithm for bias field estimation and image segmentation,” in 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011, 2011, pp. 37-40. doi:10.1109/ICIP.2011.6116528
    [BibTeX] [Download PDF]
    @inproceedings{rui11icip,
    author = {Huang, Rui and Sang, Nong and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICIP.2011.6116528},
    booktitle = {18th {IEEE} International Conference on Image Processing, {ICIP} 2011, Brussels, Belgium, September 11-14, 2011},
    doi = {10.1109/ICIP.2011.6116528},
    interhash = {f0df1ce68196cbb73f7fbb5204b5629d},
    intrahash = {c9c29af5f4c9212d7d756e2e2a060c4d},
    note = {25\% contribution},
    pages = {37-40},
    title = {A Belief Propagation algorithm for bias field estimation and image segmentation},
    url = {http://dx.doi.org/10.1109/ICIP.2011.6116528},
    year = 2011
    }

  • S. Shariat and V. Pavlovic, “Isotonic CCA for sequence alignment and activity recognition,” in IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011, 2011, pp. 2572-2578. doi:10.1109/ICCV.2011.6126545
    [BibTeX] [Download PDF]
    @inproceedings{Shariat2011,
    author = {Shariat, Shahriar and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICCV.2011.6126545},
    booktitle = {{IEEE} International Conference on Computer Vision, {ICCV} 2011, Barcelona, Spain, November 6-13, 2011},
    doi = {10.1109/ICCV.2011.6126545},
    interhash = {f6be7d2af65165c78f7cea318a34f6fc},
    intrahash = {58cf376003da8a5cfa01dd80db23daee},
    note = {50\% contribution},
    pages = {2572-2578},
    title = {Isotonic {CCA} for sequence alignment and activity recognition},
    url = {http://dx.doi.org/10.1109/ICCV.2011.6126545},
    year = 2011
    }

  • A. Mitrofanova, V. Pavlovic, and B. Mishra, “Prediction of Protein Functions with Gene Ontology and Interspecies Protein Homology Data,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 8, iss. 3, pp. 775-784, 2011. doi:10.1109/TCBB.2010.15
    [BibTeX] [Download PDF]
    @article{mitrofanova11,
    author = {Mitrofanova, Antonina and Pavlovic, Vladimir and Mishra, Bud},
    bdsk-url-1 = {http://dx.doi.org/10.1109/TCBB.2010.15},
    doi = {10.1109/TCBB.2010.15},
    interhash = {431cbaa76b592bdb7b8d9d1d240691b9},
    intrahash = {9cc11f7bc7beb46874cb1db96729be6e},
    journal = {{IEEE/ACM} Trans. Comput. Biology Bioinform.},
    note = {33\% contribution},
    number = 3,
    pages = {775-784},
    title = {Prediction of Protein Functions with Gene Ontology and Interspecies Protein Homology Data},
    url = {http://dx.doi.org/10.1109/TCBB.2010.15},
    volume = 8,
    year = 2011
    }

  • T. Parag, V. Pavlovic, and A. Elgammal, “Learning Hypergraph Labeling for Feature Matching,” CoRR, vol. abs/1107.2553, 2011.
    [BibTeX] [Download PDF]
    @article{toufiq11corr,
    author = {Parag, Toufiq and Pavlovic, Vladimir and Elgammal, Ahmed},
    bdsk-url-1 = {http://arxiv.org/abs/1107.2553},
    date-added = {2012-12-07 20:04:48 +0000},
    date-modified = {2012-12-07 20:04:48 +0000},
    interhash = {701330d2b7888bec91b47d7e31f9348f},
    intrahash = {195a363e99fe7bb62eda34fd077905f2},
    journal = {CoRR},
    note = {33\% contribution},
    title = {{L}earning {H}ypergraph {L}abeling for {F}eature {M}atching},
    url = {http://arxiv.org/abs/1107.2553},
    volume = {abs/1107.2553},
    year = 2011
    }

  • A. Cohen and V. Pavlovic, “An efficient IP approach to constrained multiple face tracking and recognition,” in IEEE International Conference on Computer Vision Workshops, ICCV 2011 Workshops, Barcelona, Spain, November 6-13, 2011, 2011, pp. 852-859. doi:10.1109/ICCVW.2011.6130341
    [BibTeX] [Download PDF]
    @inproceedings{Cohen2011,
    author = {Cohen, Andre and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICCVW.2011.6130341},
    booktitle = {{IEEE} International Conference on Computer Vision Workshops, {ICCV} 2011 Workshops, Barcelona, Spain, November 6-13, 2011},
    doi = {10.1109/ICCVW.2011.6130341},
    interhash = {da4c80071786e5369cf01adf61d167bb},
    intrahash = {13ade0c432058323594a379945089c36},
    note = {50\% contribution},
    pages = {852-859},
    title = {An efficient {IP} approach to constrained multiple face tracking and recognition},
    url = {http://dx.doi.org/10.1109/ICCVW.2011.6130341},
    year = 2011
    }

  • M. Kim and V. Pavlovic, “Sequence classification via large margin hidden Markov models,” Data Min. Knowl. Discov., vol. 23, iss. 2, pp. 322-344, 2011. doi:10.1007/s10618-010-0206-6
    [BibTeX] [Download PDF]
    @article{kim11kdd,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1007/s10618-010-0206-6},
    doi = {10.1007/s10618-010-0206-6},
    interhash = {6ff0362744681c138ab0e23cef65327f},
    intrahash = {d187181256264f6cb19b345c5b9d05e7},
    journal = {Data Min. Knowl. Discov.},
    note = {50\% contribution},
    number = 2,
    pages = {322-344},
    title = {Sequence classification via large margin hidden {Markov} models},
    url = {http://dx.doi.org/10.1007/s10618-010-0206-6},
    volume = 23,
    year = 2011
    }

2010

  • A. Makadia, V. Pavlovic, and S. Kumar, “Baselines for Image Annotation,” International Journal of Computer Vision, vol. 90, iss. 1, pp. 88-105, 2010. doi:10.1007/s11263-010-0338-6
    [BibTeX]
    @article{makadia10ijcv,
    author = {Makadia, Ameesh and Pavlovic, Vladimir and Kumar, Sanjiv},
    bdsk-url-1 = {http://dx.doi.org/10.1007/s11263-010-0338-6},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:15:43 +0000},
    doi = {10.1007/s11263-010-0338-6},
    interhash = {01da7a3bf8aa49231a8b8abaf9ed3a46},
    intrahash = {a785eba9c58ced91b9373906d99508af},
    journal = {International Journal of Computer Vision},
    note = {33\% contribution},
    number = 1,
    pages = {88-105},
    title = {{B}aselines for {I}mage {A}nnotation},
    volume = 90,
    year = 2010
    }

  • M. Kim and V. Pavlovic, “Structured output ordinal regression for dynamic facial emotion intensity prediction,” in Computer Vision – ECCV 2010, Berlin, Heidelberg, 2010, pp. 649-662.
    [BibTeX] [Abstract] [Download PDF]

    We consider the task of labeling facial emotion intensities in videos, where the emotion intensities to be predicted have ordinal scales (e.g., low, medium, and high) that change in time. A significant challenge is that the rates of increase and decrease differ substantially across subjects. Moreover, the actual absolute differences of intensity values carry little information, with their relative order being more important. To solve the intensity prediction problem we propose a new dynamic ranking model that models the signal intensity at each time as a label on an ordinal scale and links the temporally proximal labels using dynamic smoothness constraints. This new model extends the successful static ordinal regression to a structured (dynamic) setting by using an analogy with Conditional Random Field (CRF) models in structured classification. We show that, although non-convex, the new model can be accurately learned using efficient gradient search. The predictions resulting from this dynamic ranking model show significant improvements over the regular CRFs, which fail to consider ordinal relationships between predicted labels. We also observe substantial improvements over static ranking models that do not exploit temporal dependencies of ordinal predictions. We demonstrate the benefits of our algorithm on the Cohn-Kanade dataset for the dynamic facial emotion intensity prediction problem and illustrate its performance in a controlled synthetic setting.

    @conference{Kim:2010:SOO:1927006.1927056,
    abstract = {We consider the task of labeling facial emotion intensities in videos, where the emotion intensities to be predicted have ordinal scales (e.g., low, medium, and high) that change in time. A significant challenge is that the rates of increase and decrease differ substantially across subjects. Moreover, the actual absolute differences of intensity values carry little information, with their relative order being more important. To solve the intensity prediction problem we propose a new dynamic ranking model that models the signal intensity at each time as a label on an ordinal scale and links the temporally proximal labels using dynamic smoothness constraints. This new model extends the successful static ordinal regression to a structured (dynamic) setting by using an analogy with Conditional Random Field (CRF) models in structured classification. We show that, although non-convex, the new model can be accurately learned using efficient gradient search. The predictions resulting from this dynamic ranking model show significant improvements over the regular CRFs, which fail to consider ordinal relationships between predicted labels. We also observe substantial improvements over static ranking models that do not exploit temporal dependencies of ordinal predictions. We demonstrate the benefits of our algorithm on the Cohn-Kanade dataset for the dynamic facial emotion intensity prediction problem and illustrate its performance in a controlled synthetic setting.},
    address = {Berlin, Heidelberg},
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-15558-1_47},
    booktitle = {Computer Vision - ECCV 2010},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:04:38 +0000},
    editor = {Daniilidis, Kostas and Maragos, Petros and Paragios, Nikos},
    interhash = {c7cb93bd470044cf3fec253fbd21f48a},
    intrahash = {c02a4239aefee38872f28c7f22b6c6fc},
    isbn = {3-642-15557-X, 978-3-642-15557-4},
    note = {50\% contribution},
    pages = {649-662},
    publisher = {Springer-Verlag},
    series = {Lecture Notes in Computer Science},
    title = {{S}tructured output ordinal regression for dynamic facial emotion intensity prediction},
    url = {http://dx.doi.org/10.1007/978-3-642-15558-1_47},
    volume = 6313,
    year = 2010
    }

  • M. Kim and V. Pavlovic, “Hidden Conditional Ordinal Random Fields for Sequence Classification,” in ECML/PKDD, 2010, pp. 51-65.
    [BibTeX]
    @conference{kim10ecml,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    booktitle = {ECML/PKDD},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:04:38 +0000},
    interhash = {54c03fe88df675695b32d461e5939967},
    intrahash = {5803bab75f42224fe37f25f21e12409a},
    note = {50\% contribution},
    pages = {51-65},
    title = {{H}idden {C}onditional {O}rdinal {R}andom {F}ields for {S}equence {C}lassification},
    volume = 2,
    year = 2010
    }

  • P. Kuksa and V. Pavlovic, “Spatial Representation for Efficient Sequence Classification,” in 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 2010, pp. 3320-3323. doi:10.1109/ICPR.2010.1159
    [BibTeX]
    @conference{kuksa10icpr,
    address = {Istanbul, Turkey},
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICPR.2010.1159},
    booktitle = {20th International Conference on Pattern Recognition, ICPR 2010},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:04:38 +0000},
    doi = {10.1109/ICPR.2010.1159},
    interhash = {69ca968546e43ed93e37f479b3c7846a},
    intrahash = {7346dee120f7b8274654f6d8bcabffcd},
    month = {August},
    note = {50\% contribution},
    pages = {3320-3323},
    title = {{S}patial {R}epresentation for {E}fficient {S}equence {C}lassification},
    year = 2010
    }

  • P. Kuksa, Y. Qi, B. Bai, R. Collobert, J. Weston, V. Pavlovic, and X. Ning, “Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction,” in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, 2010, pp. 128-144. doi:10.1007/978-3-642-15883-4_9
    [BibTeX]
    @conference{kuksa10ecml,
    address = {Barcelona, Spain},
    author = {Kuksa, Pavel and Qi, Yanjun and Bai, Bing and Collobert, Ronan and Weston, Jason and Pavlovic, Vladimir and Ning, Xia},
    bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-15883-4_9},
    booktitle = {Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:04:38 +0000},
    doi = {10.1007/978-3-642-15883-4_9},
    interhash = {927244a2758d051eb1ba3c94b71fbe88},
    intrahash = {23dd8ad1b05b0a4323227852b64e80d3},
    month = {October},
    note = {15\% contribution},
    pages = {128-144},
    title = {{S}emi-supervised {A}bstraction-{A}ugmented {S}tring {K}ernel for {M}ulti-level {B}io-{R}elation {E}xtraction},
    year = 2010
    }

  • S. Shariat, V. Pavlovic, T. Papathomas, A. Braun, and P. Sinha, “Sparse dictionary methods for EEG signal classification in face perception,” in Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on, 2010, pp. 331-336. doi:10.1109/MLSP.2010.5589166
    [BibTeX] [Abstract] [Download PDF]

    This paper presents a systematic application of machine learning techniques for classifying high-density EEG signals elicited by face and non-face stimuli. The two stimuli used here are derived from the vase-faces illusion and share the same defining contours, differing only slightly in stimulus space. This emphasizes activity differences related to high-level percepts rather than low-level attributes. This design decision results in a difficult classification task for the ensuing EEG signals. Traditionally, EEG analyses are done on the basis of signal processing techniques involving multiple instance averaging and then a manual examination to detect differentiating components. The present study constitutes an agnostic effort based on purely statistical estimates of three major classifiers: L1-norm logistic regression, group lasso and k Nearest Neighbors (kNN); kNN produced the worst results. L1 regression and group lasso show significantly better performance, while being abl e to identify distinct spatio-temporal signatures. Both L1 regression and group lasso assert the saliency of samples in 170ms, 250ms, 400ms and 600ms after stimulus onset, congruent with the previously reported ERP components associated with face perception. Similarly, spatial locations of salient markers point to the occipital and temporal brain regions, previously implicated in visual object perception. The overall approach presented here can provide a principled way of identifying EEG correlates of other perceptual/cognitive tasks.

    @conference{shahriar2010,
    abstract = {This paper presents a systematic application of machine learning techniques for classifying high-density EEG signals elicited
    by face and non-face stimuli. The two stimuli used here
    are derived from the vase-faces illusion and share the same
    defining contours, differing only slightly in stimulus space.
    This emphasizes activity differences related to high-level
    percepts rather than low-level attributes. This design decision results in a difficult classification task for the ensuing
    EEG signals. Traditionally, EEG analyses are done on the
    basis of signal processing techniques involving multiple instance averaging and then a manual examination to detect
    differentiating components. The present study constitutes
    an agnostic effort based on purely statistical estimates of
    three major classifiers: L1-norm logistic regression, group
    lasso and k Nearest Neighbors (kNN); kNN produced the
    worst results. L1 regression and group lasso show significantly better performance, while being abl e to identify
    distinct spatio-temporal signatures. Both L1 regression and
    group lasso assert the saliency of samples in 170ms, 250ms,
    400ms and 600ms after stimulus onset, congruent with the
    previously reported ERP components associated with face
    perception. Similarly, spatial locations of salient markers
    point to the occipital and temporal brain regions, previously
    implicated in visual object perception. The overall approach
    presented here can provide a principled way of identifying
    EEG correlates of other perceptual/cognitive tasks.},
    author = {Shariat, Shahriar and Pavlovic, Vladimir and Papathomas, Thomas and Braun, Ainsley and Sinha, Pawan},
    bdsk-url-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5589166%7B%5C&%7Dtag=1},
    bdsk-url-2 = {http://dx.doi.org/10.1109/MLSP.2010.5589166},
    booktitle = {Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:04:38 +0000},
    doi = {10.1109/MLSP.2010.5589166},
    interhash = {02aed265e53d96f99ac4ce6fc11cf028},
    intrahash = {93f48c9fe28fd00c9c8af5c0d7c9cbd2},
    issn = {1551-2541},
    month = {29 2010-sept. 1},
    note = {20\% contribution},
    pages = {331 - 336},
    title = {{S}parse dictionary methods for {EEG} signal classification in face perception},
    url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5589166{\&}tag=1},
    year = 2010
    }

  • A. Cohen and V. Pavlovic, “Reinforcement Learning for Robust and Efficient Real-World Tracking,” in Pattern Recognition (ICPR), 2010 20th International Conference on, 2010, pp. 2989-2992. doi:10.1109/ICPR.2010.732
    [BibTeX] [Abstract]

    In this paper we present a new approach for combining several independent trackers into one robust real-time tracker. Unlike previous work that employ multiple tracking objectives used in unison, our tracker manages to determine an optimal sequence of individual trackers given the characteristics present in the video and the desire to achieve maximally efficient tracking. This allows for the selection of fast less-robust trackers when little movement is sensed, while using more robust but computationally intensive trackers in more dynamic scenes. We test this approach on the problem of real-world face tracking. Results show that this approach is a viable method for combining several independent trackers into one robust real-time tracker capable of tracking faces in varied lighting conditions, video resolutions, and with occlusions.

    @conference{cohen2010,
    abstract = {In this paper we present a new approach for combining several independent trackers into one robust real-time tracker. Unlike previous work that employ multiple tracking objectives used in unison, our tracker manages to determine an optimal sequence of individual trackers given the characteristics present in the video and the desire to achieve maximally efficient tracking. This allows for the selection of fast less-robust trackers when little movement is sensed, while using more robust but computationally intensive trackers in more dynamic scenes. We test this approach on the problem of real-world face tracking. Results show that this approach is a viable method for combining several independent trackers into one robust real-time tracker capable of tracking faces in varied lighting conditions, video resolutions, and with occlusions.},
    author = {Cohen, Andre and Pavlovic, Vladimir},
    bdsk-url-1 = {http://dx.doi.org/10.1109/ICPR.2010.732},
    booktitle = {Pattern Recognition (ICPR), 2010 20th International Conference on},
    date-added = {2012-12-07 20:04:38 +0000},
    date-modified = {2012-12-07 20:04:38 +0000},
    doi = {10.1109/ICPR.2010.732},
    interhash = {fe0b53e38157aa6cf372ad5dd5bd3b0e},
    intrahash = {284853e51a90af29360b84703c4a5ca4},
    isbn = {978-1-4244-7542-1},
    issn = {1051-4651},
    note = {50\% contribution},
    pages = {2989-2992},
    title = {{R}einforcement {L}earning for {R}obust and {E}fficient {R}eal-{W}orld {T}racking},
    year = 2010
    }

2009

  • M. Kim and V. Pavlovic, “Discriminative Learning for Dynamic State Prediction,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, iss. 10, pp. 1847-1861, 2009.
    [BibTeX]
    @article{kim09:pami,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {78bd5deade1acaf3a243566232464695},
    intrahash = {df1114fc564562a325cb84114976e344},
    journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
    number = 10,
    owner = {vladimir},
    pages = {1847-1861},
    title = {Discriminative Learning for Dynamic State Prediction},
    volume = 31,
    year = 2009
    }

  • P. Kuksa and V. Pavlovic, “Efficient Discovery of Common Patterns in Sequences,” in The Learning Workshop, Clearwater Beach, FL, 2009.
    [BibTeX]
    @inproceedings{kuksa09:snow,
    address = {Clearwater Beach, FL},
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    booktitle = {The Learning Workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {b321fe3460b824d211ef1baed6ebcfdd},
    intrahash = {5d57cb734e89e120b551d820d3827d72},
    owner = {vladimir},
    title = {Efficient Discovery of Common Patterns in Sequences},
    year = 2009
    }

  • P. Kuksa and V. Pavlovic, “Efficient alignment-free DNA barcode analytics,” BMC Bioinformatics, vol. 10, iss. S-14, 2009.
    [BibTeX]
    @article{kuksa09:bmc2,
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {ac9e4ae8c0752dc70edf54bcbcff8ba1},
    intrahash = {374df79235c0a1ee0a5651353ee31e67},
    journal = {BMC Bioinformatics},
    number = {S-14},
    owner = {vladimir},
    title = {Efficient alignment-free DNA barcode analytics},
    volume = 10,
    year = 2009
    }

  • M. Kim and V. Pavlovic, “Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings,” in International Conference on Artificial Intelligence and Statistics (AISTATS), Clearwater Beach, FL, 2009.
    [BibTeX]
    @inproceedings{kim09:aistats,
    address = {Clearwater Beach, FL},
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-file-1 = {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},
    booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {dd13e1f762ed89eb8231137da423b579},
    intrahash = {1328020af9b1354e7a8c046781889776},
    month = {April},
    note = {40\% acceptance},
    owner = {vladimir},
    title = {Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings},
    year = 2009
    }

  • R. Hunag, V. Pavlovic, and D. N. Metaxas, “Embedded Profile Hidden Markov Models for Shape Analysis,” IEEE Trans. Pattern Analysis and Machine Intelligence, 2009.
    [BibTeX]
    @article{huang09:pami,
    author = {Hunag, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {1e0d3f2622c9085face0d8946d92fdcd},
    intrahash = {ab18286d4b52f7335fc70223a9e6efaa},
    journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
    owner = {vladimir},
    title = {Embedded Profile Hidden Markov Models for Shape Analysis},
    year = 2009
    }

  • P. Kuksa and V. Pavlovic, “Fast Motif Selection for Biological Sequences,” in IEEE Int’l Conf. on Bioinformatics and Biomedicine (BIBM), Washington, DC, 2009.
    [BibTeX]
    @inproceedings{kuksa09:bibm,
    address = {Washington, DC},
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    bdsk-file-1 = {YnBsaXN0MDDUAQIDBAUGJCVYJHZlcnNpb25YJG9iamVjdHNZJGFyY2hpdmVyVCR0b3ASAAGGoKgHCBMUFRYaIVUkbnVsbNMJCgsMDxJXTlMua2V5c1pOUy5vYmplY3RzViRjbGFzc6INDoACgAOiEBGABIAFgAdccmVsYXRpdmVQYXRoWWFsaWFzRGF0YV8QLi4uLy4uLy4uLy4uL0Rvd25sb2Fkcy9qcmVzZWFyY2hfb3V0cHV0ICgzKS5iaWLSFwsYGVdOUy5kYXRhTxEBrAAAAAABrAACAAAMTWFjaW50b3NoIEhEAAAAAAAAAAAAAAAAAAAA0s7Ik0grAAAAM4LNGGpyZXNlYXJjaF9vdXRwdXQgKDMpLmJpYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzkN3QXahrAAAAAAAAAAAABAACAAAJIAAAAAAAAAAAAAAAAAAAAAlEb3dubG9hZHMAABAACAAA0s8O4wAAABEACAAA0F3gqwAAAAEADAAzgs0AB8u8AAYn/AACAEFNYWNpbnRvc2ggSEQ6VXNlcnM6AHZsYWRpbWlyOgBEb3dubG9hZHM6AGpyZXNlYXJjaF9vdXRwdXQgKDMpLmJpYgAADgAyABgAagByAGUAcwBlAGEAcgBjAGgAXwBvAHUAdABwAHUAdAAgACgAMwApAC4AYgBpAGIADwAaAAwATQBhAGMAaQBuAHQAbwBzAGgAIABIAEQAEgAxVXNlcnMvdmxhZGltaXIvRG93bmxvYWRzL2pyZXNlYXJjaF9vdXRwdXQgKDMpLmJpYgAAEwABLwAAFQACAA///wAAgAbSGxwdHlokY2xhc3NuYW1lWCRjbGFzc2VzXU5TTXV0YWJsZURhdGGjHR8gVk5TRGF0YVhOU09iamVjdNIbHCIjXE5TRGljdGlvbmFyeaIiIF8QD05TS2V5ZWRBcmNoaXZlctEmJ1Ryb290gAEACAARABoAIwAtADIANwBAAEYATQBVAGAAZwBqAGwAbgBxAHMAdQB3AIQAjgC/AMQAzAJ8An4CgwKOApcCpQKpArACuQK+AssCzgLgAuMC6AAAAAAAAAIBAAAAAAAAACgAAAAAAAAAAAAAAAAAAALq},
    booktitle = {IEEE Int'l Conf. on Bioinformatics and Biomedicine (BIBM)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {b1d6225e05fe83fab66d0e5d43b913e3},
    intrahash = {af27bc6ef7abe106ebc0d1fb5e23ebec},
    owner = {vladimir},
    title = {Fast Motif Selection for Biological Sequences},
    year = 2009
    }

  • M. Kim and V. Pavlovic, “Fast Multiple Kernel Learning via Large Margin Parzen Window Estimation,” Pattern Recognition, 2009.
    [BibTeX]
    @article{kim09:pr,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {bd4d5a76acba2b477a028ffe4a74dfc4},
    intrahash = {d9362711a17488580dd69017891db11d},
    journal = {Pattern Recognition},
    note = {under review},
    owner = {vladimir},
    title = {Fast Multiple Kernel Learning via Large Margin Parzen Window Estimation},
    year = 2009
    }

  • P. P. Kuksa, P. Huang, and V. Pavlovic, “Efficient use of unlabeled data for protein sequence classification: a comparative study,” BMC Bioinformatics, vol. 10, iss. S-14, 2009.
    [BibTeX]
    @article{kuksa09:bmc,
    author = {Kuksa, Pavel P. and Huang, Pai-Hsi and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {09e34155006d090fe44c0c8f70291eab},
    intrahash = {a54396e92b5ceee67e8248d47b7e9734},
    journal = {BMC Bioinformatics},
    number = {S-14},
    owner = {vladimir},
    title = {Efficient use of unlabeled data for protein sequence classification: a comparative study},
    volume = 10,
    year = 2009
    }

2008

  • P. Kuksa, P. Huang, and V. Pavlovic, “A fast, semi-supervised learning method for protein sequence classification,” in 8th International Workshop on Data Mining in Bioinformatics (BIOKDD 2008), Las Vegas, NV, 2008, pp. 29-37.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa008biokdd,
    address = {Las Vegas, NV},
    author = {Kuksa, Pavel and Huang, Pai-Hsi and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    booktitle = {8th International Workshop on Data Mining in Bioinformatics (BIOKDD 2008)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kuksa08biokdd.pdf:PDF},
    interhash = {d58c18d4802e6a36140414840b1bff6b},
    intrahash = {e3634618f21633e28046b18030dfc1bd},
    month = {Aug.},
    note = {Acceptance 30\% (8/25)},
    owner = {vladimir},
    pages = {29-37},
    title = {A fast, semi-supervised learning method for protein sequence classification},
    url = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    year = 2008
    }

  • R. Huang, V. Pavlovic, and D. Metaxas, “A new spatio-temporal MRF framework for video-based object segmentation,” in 1st International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA’08), in conjunction wih ECCV 2008, Marseille, France: , 2008.
    [BibTeX] [Download PDF]
    @incollection{rhuang08mlvma,
    address = {Marseille, France},
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/shape/shape.html},
    booktitle = {1st International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA'08), in conjunction wih ECCV 2008},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {826b31bb448e1a8006b495d130d9c258},
    intrahash = {2c0e8829c55110e32679e44aaeaae26e},
    month = {Oct.},
    owner = {vladimir},
    title = {A new spatio-temporal MRF framework for video-based object segmentation},
    url = {http://seqam.rutgers.edu/projects/shape/shape.html},
    year = 2008
    }

  • K. Moon and V. Pavlovic, “Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis,” in Fifth Canadian Conference on Computer and Robot Vision, Windsor, ON, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{moon08crv,
    address = {Windsor, ON},
    author = {Moon, Kooksang and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/motion/motion.html},
    booktitle = {Fifth Canadian Conference on Computer and Robot Vision},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/moon08crv.pdf:PDF},
    interhash = {ca95edbb36d37c641fcbb1764228cf84},
    intrahash = {ee456fa96962c90821c2b53e40c8f764},
    month = May,
    owner = {vladimir},
    title = {Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis},
    url = {http://seqam.rutgers.edu/projects/motion/motion.html},
    year = 2008
    }

  • K. Moon and V. Pavlovic, “Visual inference using Gaussian process manifold kernel dimensionality reduction,” in IEEE Int’l Workshop Machine Learning in Signal Processing, Cancun, Mexico: , 2008.
    [BibTeX] [Download PDF]
    @incollection{moon08mlsp,
    address = {Cancun, Mexico},
    author = {Moon, Kooksang and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/learning/regression/gpmkdr/gpmkdr.html},
    booktitle = {IEEE Int'l Workshop Machine Learning in Signal Processing},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/moon08mlsp.pdf:PDF},
    interhash = {6727013cc1ef03a46edb74e6b117a755},
    intrahash = {a3089a98140025336f0ac84f22b8f3f4},
    month = {Oct.},
    owner = {vladimir},
    title = {Visual inference using Gaussian process manifold kernel dimensionality reduction},
    url = {http://seqam.rutgers.edu/projects/learning/regression/gpmkdr/gpmkdr.html},
    year = 2008
    }

  • A. Makadia, V. Pavlovic, and S. Kumar, “A New Baseline for Image Annotation,” in European Conf. Computer Vision, Marseille, France, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{makadia08eccv,
    address = {Marseille, France},
    author = {Makadia, Ameesh and Pavlovic, Vladimir and Kumar, Sanjiv},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/projects.html},
    booktitle = {European Conf. Computer Vision},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/makadia08eccv.pdf:PDF},
    interhash = {d2091f7b20b0654c3615a954b86fc863},
    intrahash = {1c54a6bb6cf6f231cc069c6600aaca0f},
    month = {Oct.},
    owner = {vladimir},
    title = {A New Baseline for Image Annotation},
    url = {http://seqam.rutgers.edu/projects/projects.html},
    year = 2008
    }

  • P. Kuksa, P. Huang, and V. Pavlovic, “On the role of local matching for efficient semi-supervised protein sequence classification,” in IEEE Int’l Conf. Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa08bibm,
    address = {Philadelphia, PA},
    author = {Kuksa, Pavel and Huang, Pai-Hsi and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    booktitle = {IEEE Int'l Conf. Bioinformatics and Biomedicine (BIBM)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kuksa08bibm.pdf:PDF},
    interhash = {583a3bdbf7c86d2b2997f64bd86a87e9},
    intrahash = {12f0ebaa47430f126a613e79a4d88acf},
    month = {Nov.},
    note = {Acceptance 24\% (38/156)},
    owner = {vladimir},
    title = {On the role of local matching for efficient semi-supervised protein sequence classification},
    url = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    year = 2008
    }

  • P. Kuksa, P. Huang, and V. Pavlovic, Spatially-constrained sample kernel for sequence classification, 2008.
    [BibTeX]
    @misc{kuksa08snow,
    author = {Kuksa, Pavel and Huang, Pai-Hsi and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    howpublished = {Snowbird Learning Workshop, Utah},
    interhash = {51ad0aed1c03b119792cd8c9eccf0139},
    intrahash = {524d3fd1f6e08f42970277a0f15f84d8},
    month = {April},
    owner = {vladimir},
    title = {Spatially-constrained sample kernel for sequence classification},
    year = 2008
    }

  • M. Kim and V. Pavlovic, “Dimensionality Reduction using Covariance Operator Inverse Regression,” in IEEE Conf. Computer Vision and Pattern Recognition, Anchorage, AK, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{kim08cvpr_coir,
    address = {Anchorage, AK},
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/learning/regression/coir/coir.html},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kim08cvpr_coir.pdf:PDF},
    interhash = {80d05943270dcc1590dd9ce0e6096b82},
    intrahash = {bba4e8187e53b24d9ac14fe8fda73350},
    month = {June},
    owner = {vladimir},
    title = {Dimensionality Reduction using Covariance Operator Inverse Regression},
    url = {http://seqam.rutgers.edu/projects/learning/regression/coir/coir.html},
    year = 2008
    }

  • P. Kuksa and V. Pavlovic, “Approximate Substructure Matching for Biological Sequence Classification,” in Machine Learning in Computational Biology Workshop, 2008.
    [BibTeX]
    @inproceedings{kuksa08:mlcb,
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    booktitle = {Machine Learning in Computational Biology Workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {2f6508b3ebcca378b6dd5783835c0f0e},
    intrahash = {91dbb45922eb871945cf512c3f1aec6e},
    month = {Dec.},
    owner = {vladimir},
    title = {Approximate Substructure Matching for Biological Sequence Classification},
    year = 2008
    }

  • P. Kuksa, P. Huang, and V. Pavlovic, “Scalable Algorithms for String Kernels with Inexact Matching,” in Neural Information Processing Systems (NIPS), Vancouver, Canada, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa08nips,
    address = {Vancouver, Canada},
    author = {Kuksa, Pavel and Huang, Pai-Hsi and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    booktitle = {Neural Information Processing Systems (NIPS)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kuksa08nips.pdf:PDF},
    interhash = {e690e43f62810b0b94bf2db9f4993638},
    intrahash = {495ec3a952fac33d6079aac2f21c68d2},
    month = {Dec.},
    note = {Acceptance 12\% (123/1022)},
    owner = {vladimir},
    title = {Scalable Algorithms for String Kernels with Inexact Matching},
    url = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    year = 2008
    }

  • M. Kim, S. Kumar, V. Pavlovic, and H. Rowley, “Face Tracking and Recognition with Visual Constraints in Real-World Videos,” in IEEE Conf. Computer Vision and Pattern Recognition, Anchorage, AK, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{kim08cvpr_face,
    address = {Anchorage, AK},
    author = {Kim, Minyoung and Kumar, Sanjiv and Pavlovic, Vladimir and Rowley, Henry},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/motion/face/face.html},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kim08cvpr_face.pdf:PDF},
    interhash = {74d8bcf1528d6ffb2acb79c95ddb7b22},
    intrahash = {6e202e6667419910cfac8c357dad24cc},
    month = {June},
    owner = {vladimir},
    title = {Face Tracking and Recognition with Visual Constraints in Real-World Videos},
    url = {http://seqam.rutgers.edu/projects/motion/face/face.html},
    year = 2008
    }

  • P. Kuksa, P. Huang, and V. Pavlovic, “Fast and Accurate Multi-class Protein Fold Recognition with Spatial Sample Kernels,” in Computational Systems Bioinformatics: Proceedings of the CSB2008 Conference, Stanford, CA, 2008, pp. 133-143.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa08csb,
    address = {Stanford, CA},
    author = {Kuksa, Pavel and Huang, Pai-Hsi and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    booktitle = {Computational Systems Bioinformatics: Proceedings of the CSB2008 Conference},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kuksa08csb.pdf:PDF},
    interhash = {bf2e39c4d86c4700323867ee43524fa4},
    intrahash = {6f27a9299f9bb838a46e611cb57b8e82},
    month = {Aug.},
    note = {Acceptance 22\% (30/135)},
    owner = {vladimir},
    pages = {133-143},
    title = {Fast and Accurate Multi-class Protein Fold Recognition with Spatial Sample Kernels},
    url = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    year = 2008
    }

  • P. Huang and V. Pavlovic, “Protein homology detection with biologically inspired features and interpretable statistical models,” Int. J. Data Min. Bioinformatics, vol. 2, iss. 2, pp. 157-175, 2008. doi:http://dx.doi.org/10.1504/IJDMB.2008.019096
    [BibTeX] [Download PDF]
    @article{phuang08:ijdmb,
    author = {Huang, Pai-Hsi and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/protein/protein.html},
    bdsk-url-2 = {http://dx.doi.org/10.1504/IJDMB.2008.019096},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    doi = {http://dx.doi.org/10.1504/IJDMB.2008.019096},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/phuang07ijdmb.pdf:PDF},
    interhash = {b423bebce090fa671cc41f551b71521d},
    intrahash = {24dccf11deb06543c1624aeddeac3d38},
    issn = {1748-5673},
    journal = {Int. J. Data Min. Bioinformatics},
    note = {50\% contribution},
    number = 2,
    pages = {157-175},
    title = {Protein homology detection with biologically inspired features and interpretable statistical models},
    url = {http://seqam.rutgers.edu/projects/bioinfo/protein/protein.html},
    volume = 2,
    year = 2008
    }

  • Y. Jing, V. Pavlovic, and J. M. Rehg, “Boosted Bayesian network classifiers,” Machine Learning Journal, vol. 73, iss. 2, 2008. doi:http://dx.doi.org/10.1007/s10994-008-5065-7
    [BibTeX] [Download PDF]
    @article{jing08:mlj,
    author = {Jing, Y. and Pavlovic, V. and Rehg, J. M.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/learning/bbn/bbn.html},
    bdsk-url-2 = {http://dx.doi.org/10.1007/s10994-008-5065-7},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    doi = {http://dx.doi.org/10.1007/s10994-008-5065-7},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/jing08mlj.pdf:PDF},
    interhash = {48dff9e19fc6a7eb61b8fa9bea2053a0},
    intrahash = {673dacba12f5388d79cd0c97bb9a8f33},
    journal = {Machine Learning Journal},
    month = {Nov.},
    note = {33\% contribution},
    number = 2,
    title = {Boosted {Bayesian} network classifiers},
    url = {http://seqam.rutgers.edu/projects/learning/bbn/bbn.html},
    volume = 73,
    year = 2008
    }

  • A. Mitrofanova, V. Pavlovic, and B. Mishra, “Integrative Protein Function Transfer using Factor Graphs and Heterogeneous Data Sources,” in IEEE Int’l Conf. Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{mitrofanova08bibm,
    address = {Philadelphia, PA},
    author = {Mitrofanova, Antonina and Pavlovic, Vladimir and Mishra, Bud},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/bioinfo.html},
    booktitle = {IEEE Int'l Conf. Bioinformatics and Biomedicine (BIBM)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/mitrofanova08bibm.pdf:PDF},
    interhash = {0617cb7d9226e7487c340b5d3788fce4},
    intrahash = {656a981271863882ff0c67848892ebb5},
    month = {Nov.},
    owner = {vladimir},
    title = {Integrative Protein Function Transfer using Factor Graphs and Heterogeneous Data Sources},
    url = {http://seqam.rutgers.edu/projects/bioinfo/bioinfo.html},
    year = 2008
    }

  • P. Kuksa, P. Huang, and V. Pavlovic, “Fast Protein Homology and Fold Detection with Sparse Spatial Sample Kernels,” in Int’l Conf. Pattern Recognition, Tampa, FL, 2008.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa08icpr,
    address = {Tampa, FL},
    author = {Kuksa, Pavel and Huang, Pai-Hsi and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    booktitle = {Int'l Conf. Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kuksa08icpr.pdf:PDF},
    interhash = {389c34c9bcdbcf4b903d769ef2f326c1},
    intrahash = {6f86f327e33ca50c669a94bae9bde930},
    month = {Dec.},
    note = {Acceptance 15\%},
    owner = {vladimir},
    title = {Fast Protein Homology and Fold Detection with Sparse Spatial Sample Kernels},
    url = {http://seqam.rutgers.edu/projects/bioinfo/spatial-kernels/spatial-kernels.html},
    year = 2008
    }

2007

  • P. Kuksa and V. Pavlovic, “Fast barcode-based species identification using string kernels,” in 2nd International Barcode of Life Conference, Taipei, Taiwan, 2007.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa07:bol,
    address = {Taipei, Taiwan},
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/barcoding/barcoding.html},
    booktitle = {2nd International Barcode of Life Conference},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {7aa3fddebe9a15ca0cf3e59118389535},
    intrahash = {ced396ebfb7596b9c97c2d079ec2ee7a},
    month = {Sept},
    note = {1 page, 50\% contribution, N/A acceptance rate.},
    owner = {vladimir},
    title = {Fast barcode-based species identification using string kernels},
    url = {http://seqam.rutgers.edu/projects/bioinfo/barcoding/barcoding.html},
    year = 2007
    }

  • P. Kuksa and V. Pavlovic, Kernel methods for DNA barcoding, 2007.
    [BibTeX]
    @misc{kuksa07snow,
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    howpublished = {Snowbird Learning Workshop, San Juan, Puerto Rico},
    interhash = {f2a9197ee6e3cc4d317fab4edabc1488},
    intrahash = {d514b86852f2d4ff8128fd7a5fd8d04b},
    month = {March},
    owner = {vladimir},
    title = {Kernel methods for {DNA} barcoding},
    year = 2007
    }

  • M. Kim, S. Kumar, V. Pavlovic, and H. Rowley, “Face Tracking and Recognition with Visual Constrains,” Rutgers University, Dept. of Computer Science, DCS-TR-623, 2007.
    [BibTeX]
    @techreport{kim07:googtr,
    author = {Kim, Minyoung and Kumar, Sanjiv and Pavlovic, Vladimir and Rowley, Henry},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {kim07googtr.pdf:http\://www.cs.rutgers.edu/~vladimir/pub/kim07googtr.pdf:PDF},
    institution = {Rutgers University, Dept. of Computer Science},
    interhash = {0ff67db7ec4791e61a77e3948009ca73},
    intrahash = {cfbfa22fab90338ac1305e7c3de3db38},
    month = {December},
    number = {DCS-TR-623},
    owner = {vladimir},
    title = {Face Tracking and Recognition with Visual Constrains},
    year = 2007
    }

  • M. Kim and V. Pavlovic, “Discriminative Learning of Dynamical Systems for Motion Tracking,” in IEEE Conf. Computer Vision and Pattern Recognition, 2007.
    [BibTeX] [Download PDF]
    @inproceedings{kim07:cvpr,
    author = {Kim, M. and Pavlovic, V.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/motion/ddm/index.html},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kim07cvpr.pdf:PDF},
    interhash = {131fa550b3cf8b712c87583173e3d189},
    intrahash = {832106ef7330742a827947a29e4a26f9},
    note = {50\% contribution. Poster, 28.2\% acceptance rate},
    title = {Discriminative Learning of Dynamical Systems for Motion Tracking},
    url = {http://seqam.rutgers.edu/projects/motion/ddm/index.html},
    year = 2007
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “Shape analysis using curvature-based descriptors and profile hidden Markov models,” in IEEE Int’l Symposium on Biomedical Imaging (ISBI), 2007, pp. 1220-1223.
    [BibTeX] [Download PDF]
    @inproceedings{huang07:isbi,
    author = {Huang, R. and Pavlovic, V. and Metaxas, D. N.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/shape/shape_ephmm/shape_ephmm.html},
    booktitle = {IEEE Int'l Symposium on Biomedical Imaging (ISBI)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/huang07isbi.pdf:PDF},
    interhash = {34cf2670e3a8611256423bef07cae242},
    intrahash = {91fe6ced3dd35352e2f31c0ec567cc3d},
    month = {April},
    note = {33\% contribution. Poster. N/A acceptance rate},
    pages = {1220-1223},
    title = {Shape analysis using curvature-based descriptors and profile hidden {Markov} models},
    url = {http://seqam.rutgers.edu/projects/shape/shape_ephmm/shape_ephmm.html},
    year = 2007
    }

  • P. Kuksa and V. Pavlovic, “Fast kernel methods for SVM sequence classifiers,” in The Workshop on Algorithms in Bioinformatics (WABI), Philadelphia, PA, 2007.
    [BibTeX] [Download PDF]
    @inproceedings{kuksa07:wabi,
    address = {Philadelphia, PA},
    author = {Kuksa, P. and Pavlovic, V.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/bioinfo/barcoding/barcoding.html},
    booktitle = {The Workshop on Algorithms in Bioinformatics (WABI)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kuksa07wabi.pdf:PDF},
    interhash = {a5fdc767aad1b399ee305cecef480f1d},
    intrahash = {5a15f70e534ea3b90e5d83419e1bcf2d},
    month = {Sept},
    note = {50\% contribution. Oral presentation, 28\% acceptance rate},
    rating = {4},
    title = {Fast kernel methods for SVM sequence classifiers},
    url = {http://seqam.rutgers.edu/projects/bioinfo/barcoding/barcoding.html},
    year = 2007
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “Embedded Profile Hidden Markov Models for Shape Analysis,” in IEEE Int’l Conf. Computer Vision, Rio De Janeiro, Brazil, 2007.
    [BibTeX] [Download PDF]
    @inproceedings{huang07:iccv,
    address = {Rio De Janeiro, Brazil},
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/shape/shape_ephmm/shape_ephmm.html},
    booktitle = {IEEE Int'l Conf. Computer Vision},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/huang07iccv.pdf:PDF},
    interhash = {f9a5ff5643fa68c93693b62b61f0a367},
    intrahash = {9a044237948c52b80cfd1c9243068424},
    month = Oct,
    note = {8 pages, 33\% contribution, 24.5\% acceptance rate.},
    owner = {vladimir},
    title = {Embedded Profile Hidden {Markov} Models for Shape Analysis},
    url = {http://seqam.rutgers.edu/projects/shape/shape_ephmm/shape_ephmm.html},
    year = 2007
    }

  • M. Kim and V. Pavlovic, “Conditional State Space Models for Discriminative Motion Estimation,” in IEEE Int’l Conf. Computer Vision, Rio De Janeiro, Brazil, 2007.
    [BibTeX] [Download PDF]
    @inproceedings{kim07:iccv,
    address = {Rio De Janeiro, Brazil},
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/motion/ddm/index.html},
    booktitle = {IEEE Int'l Conf. Computer Vision},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kim07iccv.pdf:PDF},
    interhash = {b54d8123dd1868fb4964ba0b40c329dc},
    intrahash = {28cb66388b15eb567ed0d8ffdac8f96a},
    month = {Oct.},
    note = {8 pages, 50\% contribution, 24.5\% acceptance rate.},
    owner = {vladimir},
    title = {Conditional State Space Models for Discriminative Motion Estimation},
    url = {http://seqam.rutgers.edu/projects/motion/ddm/index.html},
    year = 2007
    }

  • K. Moon and V. Pavlovic, “Gaussian Process Manifold Kernel Dimensionality Reduction,” Rutgers University, Dept. of Computer Science, DCS-TR-621, 2007.
    [BibTeX]
    @techreport{moon07:tr,
    author = {Moon, Kooksang and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {moon07tr.pdf:http\://www.cs.rutgers.edu/~vladimir/pub/moon07tr.pdf:PDF},
    institution = {Rutgers University, Dept. of Computer Science},
    interhash = {4711aa54ee75792bbd8e1562df026c6a},
    intrahash = {b6340c051ce291eeda685b9050c45b3c},
    month = {December},
    number = {DCS-TR-621},
    owner = {vladimir},
    title = {Gaussian Process Manifold Kernel Dimensionality Reduction},
    year = 2007
    }

  • M. Kim and V. Pavlovic, “Covariance Kernels and Dimensionality Reduction for Regression,” Rutgers University, Dept. of Computer Science, DCS-TR-622, 2007.
    [BibTeX]
    @techreport{kim07:tr,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {kim07tr.pdf:http\://www.cs.rutgers.edu/~vladimir/pub/kim07tr.pdf:PDF},
    institution = {Rutgers University, Dept. of Computer Science},
    interhash = {a529b61220f890dd1ff9e677882e6a19},
    intrahash = {910a304bdbe625a1a1cfa1a3ad051389},
    month = {December},
    number = {DCS-TR-622},
    owner = {vladimir},
    title = {Covariance Kernels and Dimensionality Reduction for Regression},
    year = 2007
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A Graphical Model Framework for Image Segmentation,” in Applied Graph Theory in Computer Vision and Pattern Recognition, A. Kandel, H. Bunke, and M. Last, Eds., Springer, 2007, vol. 52, pp. 43-64.
    [BibTeX] [Download PDF]
    @incollection{huang07:agt,
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/shape/segmentation/segmentation.html},
    booktitle = {Applied Graph Theory in Computer Vision and Pattern Recognition},
    chapter = 2,
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    editor = {Kandel, Abraham and Bunke, Horst and Last, Mark},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/huang07agt.pdf:PDF},
    interhash = {4e72f98d4f70fa36dc2181c2bd08a7c5},
    intrahash = {96311894e7169e64f237f0b8b2d68792},
    pages = {43-64},
    publisher = {Springer},
    series = {Studies in Computational Intelligence},
    title = {A Graphical Model Framework for Image Segmentation},
    url = {http://seqam.rutgers.edu/projects/shape/segmentation/segmentation.html},
    volume = 52,
    year = 2007
    }

  • M. Kim and V. Pavlovic, “A Recursive Method for Discriminative Mixture Learning,” in Int’l Conf. Machine Learning (ICML), Corvallis, OR, 2007.
    [BibTeX] [Download PDF]
    @inproceedings{kim07:icml,
    address = {Corvallis, OR},
    author = {Kim, M. and Pavlovic, V.},
    bdsk-url-1 = {http://seqam.rutgers.edu/projects/motion/seqgroup/seqgroup.html},
    booktitle = {Int'l Conf. Machine Learning (ICML)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    file = {:http\://www.cs.rutgers.edu/~vladimir/pub/kim07icml.pdf:PDF},
    interhash = {79d292a2310797573092145cce7a35c6},
    intrahash = {b1c89016a585152659081b14feb90090},
    month = {June},
    note = {50\% contribution. Oral presentation, 29\% acceptance rate},
    title = {A Recursive Method for Discriminative Mixture Learning},
    url = {http://seqam.rutgers.edu/projects/motion/seqgroup/seqgroup.html},
    year = 2007
    }

  • K. Moon and V. Pavlovic, “Graphical Models for Human Motion Modeling,” in Human Motion – Understanding, Modeling, Capture and Animation, K. R. D. Metaxas and B. Rosenhahn, Eds., Springer, 2007.
    [BibTeX] [Download PDF]
    @incollection{moon07:hm,
    author = {Moon, K. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/moon07hm.pdf},
    booktitle = {Human Motion - Understanding, Modeling, Capture and Animation},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    editor = {D. Metaxas, R. Klette and Rosenhahn, B.},
    interhash = {6591302d44257e562ec19fe2745ad417},
    intrahash = {147821a99b51570c471292d9fa5da7e2},
    note = {50\% contribution},
    publisher = {Springer},
    title = {Graphical Models for Human Motion Modeling},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/moon07hm.pdf},
    year = 2007
    }

2006

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape,” in IEEE Int’l Conf. Image Processing, Atlanta, GA, 2006, pp. 2121-4.
    [BibTeX] [Download PDF]
    @inproceedings{huang06:icip,
    address = {Atlanta, GA},
    author = {Huang, R. and Pavlovic, V. and Metaxas, D. N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/huang07icip.pdf},
    booktitle = {IEEE Int'l Conf. Image Processing},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {c74b44cabf52c0fc32ac36b1165e4ecc},
    intrahash = {96f09e920b6b5714e41081a36afcb5bb},
    month = Oct,
    note = {33\% contribution. Poster. 46\% acceptance rate},
    pages = {2121-4},
    title = {A Profile Hidden {Markov} Model Framework for Modeling and Analysis of Shape},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/huang07icip.pdf},
    year = 2006
    }

  • M. Kim and V. Pavlovic, “Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification,” in IEEE Conf. Computer Vision and Pattern Recognition, New York, NY, 2006, pp. 268-275.
    [BibTeX] [Download PDF]
    @inproceedings{kim06:cvpr,
    address = {New York, NY},
    author = {Kim, M. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/kim06cvpr.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {ecacddc73a511c8c758c0d5b0d25c84d},
    intrahash = {4c88d68f26b1c77bc67a216c288ce3c8},
    month = {June},
    note = {50\% contribution. Poster, 23.3\% acceptance rate},
    pages = {268-275},
    title = {Discriminative Learning of Mixture of {Bayesian} Network Classifiers for Sequence Classification},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/kim06cvpr.pdf},
    year = 2006
    }

  • P. Kuksa and V. Pavlovic, “Kernel methods for DNA barcoding,” Rutgers University, DCS-TR606, 2006.
    [BibTeX] [Download PDF]
    @techreport{kuksa06:tr,
    author = {Kuksa, Pavel and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/kuksa06tr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Rutgers University},
    interhash = {80ed87c348a914038ee4ed6241401449},
    intrahash = {65af874d738b25c3347b00e693283ce4},
    number = {DCS-TR606},
    title = {Kernel methods for DNA barcoding},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/kuksa06tr.pdf},
    year = 2006
    }

  • R. Huang and V. Pavlovic, “Embedded profile hidden Markov models for shape analysis,” Rutgers University, DCS-TR6xx, 2006.
    [BibTeX] [Download PDF]
    @techreport{rhuang06:ephmmtr,
    author = {Huang, Rui and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/rhuang06ephmmtr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Rutgers University},
    interhash = {1621765890a5203a46d1dd5a957fbc72},
    intrahash = {890ad15a7a0e64d5b16713f5e4904f41},
    number = {DCS-TR6xx},
    title = {Embedded profile hidden {Markov} models for shape analysis},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/rhuang06ephmmtr.pdf},
    year = 2006
    }

  • S. Carroll and V. Pavlovic, “Protein Classification Using Probabilistic Chain Graphs and the Gene Ontology Structure,” Bioinformatics, vol. 22, iss. 15, pp. 1871-8, 2006.
    [BibTeX] [Download PDF]
    @article{carroll06:bioinf,
    author = {Carroll, S. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/carroll06bi.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {093f9931dc1c9838966e63503d45a201},
    intrahash = {699712dc6c8d908e51cf42cb4f58c727},
    journal = {Bioinformatics},
    month = Aug,
    note = {50\% contribution},
    number = 15,
    pages = {1871-8},
    title = {Protein Classification Using Probabilistic Chain Graphs and the Gene Ontology Structure},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/carroll06bi.pdf},
    volume = 22,
    year = 2006
    }

  • K. Moon and V. Pavlovic, “Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis,” Rutgers University, DCS-TR6xx, 2006.
    [BibTeX] [Download PDF]
    @techreport{moon06:plsatr,
    author = {Moon, Kooksang and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/moon06plsatr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Rutgers University},
    interhash = {63ce180c01ecbe9ea3a6ed0049c3da50},
    intrahash = {0cee782289912c0f13a485aacad6662c},
    number = {DCS-TR6xx},
    title = {Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/moon06plsatr.pdf},
    year = 2006
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A tightly coupled region-shape framework for 3D medical image segmentation,” in Int’l Symposium Biomedical Imaging, 2006.
    [BibTeX] [Download PDF]
    @inproceedings{huang06:isbi,
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/huang06isbi.pdf},
    booktitle = {Int'l Symposium Biomedical Imaging},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {92bb7f3a98fb4ffbd82b0ab382613140},
    intrahash = {9bdb6dadbee59d14d481857a1382f3d2},
    note = {33\% contribution. Poster. 60\% acceptance rate},
    title = {A tightly coupled region-shape framework for {3D} medical image segmentation},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/huang06isbi.pdf},
    year = 2006
    }

  • P-H. Huang and V. Pavlovic, “Sparse Logistic Classifiers for Interpretable Protein Homology Detection,” in International Workshop on Datamining in Bioinformatics, IEEE Int’l Conf. Datamining (ICDM), Hong Kong, 2006, pp. 99-103.
    [BibTeX] [Download PDF]
    @inproceedings{phuang06:icdm,
    address = {Hong Kong},
    author = {Huang, P-H. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/phuang06icdm.pdf},
    booktitle = {International Workshop on Datamining in Bioinformatics, IEEE Int'l Conf. Datamining (ICDM)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {cea2aff0c0d0d2276c782f1f6caa1451},
    intrahash = {6e028393ca0d25ac5487a4a5497ab533},
    month = Dec,
    note = {50\% contribution. Oral presentation, 21.2\% acceptance rate},
    pages = {99-103},
    title = {Sparse Logistic Classifiers for Interpretable Protein Homology Detection},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/phuang06icdm.pdf},
    year = 2006
    }

  • K. Moon and V. Pavlovic, “Impact of Dynamics on Subspace Embedding and Tracking of Sequences,” in IEEE Conf. Computer Vision and Pattern Recognition, 2006, pp. 198-205.
    [BibTeX] [Download PDF]
    @inproceedings{moon06:cvpr,
    author = {Moon, K. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/moon05cvpr.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {fe10e2d8bcf0e07c049fefeaa46be60d},
    intrahash = {c56142e28294eba1bde24e48ffef0745},
    note = {50\% contribution. Poster, 23.3\% acceptance rate},
    pages = {198-205},
    title = {Impact of Dynamics on Subspace Embedding and Tracking of Sequences},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/moon05cvpr.pdf},
    year = 2006
    }

  • M. Kim and V. Pavlovic, “Discriminative Tracking Methods,” Rutgers University, DCS-TR6xx, 2006.
    [BibTeX] [Download PDF]
    @techreport{kim06:dttr,
    author = {Kim, Minyoung and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/kim06dttr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Rutgers University},
    interhash = {4388b55afc6ee7e56418652330212f8e},
    intrahash = {70b584ec4fc2c6866973177c74e5b6c3},
    number = {DCS-TR6xx},
    title = {Discriminative Tracking Methods},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/kim06dttr.pdf},
    year = 2006
    }

2005

  • S. Carroll and V. Pavlovic, “Protein Classification Using Probabilistic Chain Graphs and the Gene Ontology Structure,” Dept. of Computer Science, Rutgers University, RU-DCS-TR587, 2005.
    [BibTeX] [Download PDF]
    @techreport{carroll05:tr,
    author = {Carroll, S. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/carroll05tr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Dept. of Computer Science, Rutgers University},
    interhash = {ce24c28d553eac9711959d730f85f218},
    intrahash = {685e3b282bd0ae49bfcc85affd43a932},
    number = {RU-DCS-TR587},
    title = {Protein Classification Using Probabilistic Chain Graphs and the Gene Ontology Structure},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/carroll05tr.pdf},
    year = 2005
    }

  • V. Pavlovic, D. Schonfeld, and G. Friedman, “Stochastic noise process enhancement of Hopfield neural networks,” IEEE Trans. Circuits and Systems II, vol. 52, iss. 4, pp. 213-217, 2005.
    [BibTeX] [Download PDF]
    @article{pavlovic05:tcas2,
    author = {Pavlovic, V. and Schonfeld, D. and Friedman, G.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic05tcas2.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {e52efdf85484e95904260d2ce151821c},
    intrahash = {37c1d53a3bb1410f55ce4404c61282f5},
    journal = {IEEE Trans. Circuits and Systems II},
    month = {April},
    note = {50\% contribution.},
    number = 4,
    pages = {213-217},
    title = {Stochastic noise process enhancement of Hopfield neural networks},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic05tcas2.pdf},
    volume = 52,
    year = 2005
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints,” in Computer Vision for Biomedical Image Application: Current Techniques and Future Trends, Beijing, PRC, 2005.
    [BibTeX] [Download PDF]
    @inproceedings{huang05:iccv,
    address = {Beijing, PRC},
    author = {Huang, R. and Pavlovic, V. and Metaxas, D. N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/huang05iccv.pdf},
    booktitle = {Computer Vision for Biomedical Image Application: Current Techniques and Future Trends},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {9cc9a39c8de88c68827f9e371d4e63b7},
    intrahash = {73f91810ec26977a42289f762aba6b60},
    month = {October},
    note = {33\% contribution. Poster. N/A acceptance rate},
    title = {A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/huang05iccv.pdf},
    year = 2005
    }

  • K. Moon and V. Pavlovic, “Impact of Dynamics on Subspace Embedding and Tracking of Sequences,” Dept. of Computer Science, Rutgers University, RU-DCS-TR589, 2005.
    [BibTeX] [Download PDF]
    @techreport{moon05:tr,
    author = {Moon, K. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/moon05tr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Dept. of Computer Science, Rutgers University},
    interhash = {a72b55de497764cfb7d5d6d5ecff014f},
    intrahash = {ac4dc8bfa52f25219d9c52b67b3a5773},
    number = {RU-DCS-TR589},
    title = {Impact of Dynamics on Subspace Embedding and Tracking of Sequences},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/moon05tr.pdf},
    year = 2005
    }

  • P-H. Huang and V. Pavlovic, “Protein homology detection using sparse profile hidden Markov models,” in Int’l Conf. Intelligent Systems for Molecular Biology (ISMB), Detroit, MI, 2005.
    [BibTeX] [Download PDF]
    @inproceedings{phuang05:ismb,
    address = {Detroit, MI},
    author = {Huang, P-H. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/phuang05ismb.pdf},
    booktitle = {Int'l Conf. Intelligent Systems for Molecular Biology (ISMB)},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {fc81db2e1b2f47d9699bac93de940f26},
    intrahash = {eb0b082501de088b1091413be2adb40e},
    month = {June},
    note = {50\% contribution. Poster. N/A acceptance rate},
    title = {Protein homology detection using sparse profile hidden {Markov} models},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/phuang05ismb.pdf},
    year = 2005
    }

  • Y. Jing, V. Pavlovic, and J. M. Rehg, “Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes,” in International Conf. Machine Learning, Bonn, Germany, 2005.
    [BibTeX] [Download PDF]
    @inproceedings{jing05:icml,
    address = {Bonn, Germany},
    author = {Jing, Y. and Pavlovic, V. and Rehg, J.M.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/jing05icml.pdf},
    booktitle = {International Conf. Machine Learning},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {befb4c1a6a84bd6377ff3c94b6ede5e1},
    intrahash = {802a846249fccc9a27c1f16ee4c36f20},
    month = {August},
    note = {{\bf Distinguished student paper award}. 33\% contribution. Oral presentation, 27.3\% acceptance rate},
    title = {Efficient discriminative learning of {Bayesian} network classifier via Boosted Augmented Naive Bayes},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/jing05icml.pdf},
    year = 2005
    }

  • B. Kisacanin and V. Pavlovic, “Real-Time Algorithms: From Signal Processing to Computer Vision,” in Real-Time Vision for Human-Computer Interaction, P. V. B. Kisacanin and T. S. Huang, Eds., Springer, 2005, pp. 15-40.
    [BibTeX]
    @incollection{kisacanin05:rtvhci,
    author = {Kisacanin, Branislav and Pavlovic, Vladimir},
    booktitle = {Real-Time Vision for Human-Computer Interaction},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    editor = {B. Kisacanin, V. Pavlovic and Huang, T.S.},
    interhash = {34cf1972e461692798a477eb37c73cef},
    intrahash = {e0d825b3ab302390227c6da29028d9f8},
    note = {50\% contribution.},
    pages = {15-40},
    publisher = {Springer},
    title = {Real-Time Algorithms: From Signal Processing to Computer Vision},
    year = 2005
    }

  • M. Kim and V. Pavlovic, “Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification,” Dept. of Computer Science, Rutgers University, RU-DCS-TR588, 2005.
    [BibTeX] [Download PDF]
    @techreport{kim05:tr,
    author = {Kim, M. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/kim05tr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {Dept. of Computer Science, Rutgers University},
    interhash = {6ab3a16573891c4e135378e35343dad4},
    intrahash = {94725582cbcab588322ce5af77a94f02},
    number = {RU-DCS-TR588},
    title = {Discriminative Learning of Mixture of {Bayesian} Network Classifiers for Sequence Classification},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/kim05tr.pdf},
    year = 2005
    }

  • Y. Jing, V. Pavlovic, and J. M. Rehg, “Boosted Bayesian Network Classifiers,” College of Computing, Georgia Institute of Technology, GIT-GVU-05-23, 2005.
    [BibTeX] [Download PDF]
    @techreport{jing05:tr,
    author = {Jing, Y. and Pavlovic, V. and Rehg, J.M.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/jing05tr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    institution = {College of Computing, Georgia Institute of Technology},
    interhash = {2c2678ab48fafcba85ba7fdcf23e3eb3},
    intrahash = {77a3ed79ce35b7debc24e29f95562cf4},
    number = {GIT-GVU-05-23},
    title = {Boosted {Bayesian} Network Classifiers},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/jing05tr.pdf},
    year = 2005
    }

  • K. Moon and V. Pavlovic, “Robust tracking of articulated layers,” in Vision for HCI Workshop, San Diego, CA, 2005.
    [BibTeX] [Download PDF]
    @inproceedings{moon05:cvpr,
    address = {San Diego, CA},
    author = {Moon, K. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/moon05cvpr.pdf},
    booktitle = {Vision for HCI Workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {383d3bfece46c7e714297a0f540d9c50},
    intrahash = {2e0ae89fd4004cac4517feab37a892ef},
    month = {June},
    note = {50\% contribution. Oral presentation, 23\% acceptance rate},
    title = {Robust tracking of articulated layers},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/moon05cvpr.pdf},
    year = 2005
    }

2004

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A hybrid face recognition method using Markov random fields,” in Int’l Conf. Pattern Recognition, Cambridge, UK, 2004.
    [BibTeX] [Download PDF]
    @inproceedings{huang04:icpr,
    address = {Cambridge, UK},
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/huang04icpr.pdf},
    booktitle = {Int'l Conf. Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {ae35557e8792466e5e2f9869b12e45db},
    intrahash = {37735481d97f552aa6640fcc29c9593e},
    note = {33\% contribution. Oral presentation, 18.0\% acceptance rate},
    title = {A hybrid face recognition method using {Markov} random fields},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/huang04icpr.pdf},
    year = 2004
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A graphical model framework for coupling MRFs and deformable models,” in Proc. CVPR, Washington, DC, 2004.
    [BibTeX] [Download PDF]
    @inproceedings{huang04:cvpr,
    address = {Washington, DC},
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/huang04cvpr.pdf},
    booktitle = {Proc. CVPR},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {dab03087fc43ff2a9cfae7f45bec49f4},
    intrahash = {97087c244a88958b5715016f890c9029},
    month = {July},
    note = {33\% contribution. Poster, 23.6\% acceptance rate.},
    title = {A graphical model framework for coupling {MRF}s and deformable models},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/huang04cvpr.pdf},
    year = 2004
    }

  • N. Dandekar and V. Pavlovic, “Multi-species comparative gene identification and analysis of predictive accuracy,” in Gene Finding Workshop at Computational Genomics Conference, Reston, VA, 2004.
    [BibTeX] [Download PDF]
    @inproceedings{dandekar04:cg,
    address = {Reston, VA},
    author = {Dandekar, N. and Pavlovic, V.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/dandekar04cg.pdf},
    booktitle = {Gene Finding Workshop at Computational Genomics Conference},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {f77346b058cfa8a67b08ab70a099ddba},
    intrahash = {64d04d6ed8d31cac3175038157a0fad6},
    month = {October},
    note = {50\% contribution. N/A acceptance rate},
    title = {Multi-species comparative gene identification and analysis of predictive accuracy},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/dandekar04cg.pdf},
    year = 2004
    }

  • S. Goldenstein, C. Vogler, J. Stolfi, V. Pavlovic, and D. N. Metaxas, “Outlier rejection in deformable model tracking,” in IEEE Workshop on Articulated and Nonrigid Motion, Washington, DC, 2004.
    [BibTeX] [Download PDF]
    @inproceedings{goldenstein04:cvpr,
    address = {Washington, DC},
    author = {Goldenstein, S. and Vogler, C. and Stolfi, J. and Pavlovic, V. and Metaxas, D. N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/goldenstein04cvpr.pdf},
    booktitle = {IEEE Workshop on Articulated and Nonrigid Motion},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {3af4822a919ef8127dabe9cff4b9252d},
    intrahash = {4f2744a96085512f035df5941a4cdd7c},
    note = {20\% contribution. N/A acceptance rate},
    title = {Outlier rejection in deformable model tracking},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/goldenstein04cvpr.pdf},
    year = 2004
    }

  • R. Huang, V. Pavlovic, and D. N. Metaxas, “A graphical model based image segmentation method,” in Biomedical Engineering Society Annual Conference, Philadelphia, PA, 2004.
    [BibTeX] [Download PDF]
    @inproceedings{huang04:bme,
    address = {Philadelphia, PA},
    author = {Huang, Rui and Pavlovic, Vladimir and Metaxas, Dimitris N.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/huang04bme.pdf},
    booktitle = {Biomedical Engineering Society Annual Conference},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {c541d00b87e47be162c02f1577fd1a2a},
    intrahash = {042921b0b4e7b3b3877837173546010a},
    month = {October},
    note = {33\% contribution. N/A acceptance rate},
    title = {A graphical model based image segmentation method},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/huang04bme.pdf},
    year = 2004
    }

  • V. Pavlovic, “Model-based motion clustering using boosted mixture modeling,” in Proc. CVPR, Washington, DC, 2004.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic04:cvpr,
    address = {Washington, DC},
    author = {Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic04cvpr.pdf},
    booktitle = {Proc. CVPR},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {76de9b7782dd4246209d23865f0b9e44},
    intrahash = {959884e4f661e46a39895295976bc780},
    month = {July},
    note = {100\% contribution. Poster, 23.6\% acceptance rate},
    title = {Model-based motion clustering using boosted mixture modeling},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic04cvpr.pdf},
    year = 2004
    }

2003

  • L. Zhang, V. Pavlovic, C. Cantor, and S. Kasif., “Human-mouse gene identification by comparative evidence integration and evolutionary analysis,” Genome Research, vol. 13, iss. 6A, pp. 1190-202, 2003.
    [BibTeX] [Download PDF]
    @article{zhang03:gr,
    author = {Zhang, L. and Pavlovic, V. and Cantor, C. and Kasif., S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/zhang03gr.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {ce630f05bcfed63a9a184077c7d15668},
    intrahash = {b0f86d86e8244576bae9afe6e3c2d49d},
    journal = {Genome Research},
    month = {June},
    note = {50\% contribution.},
    number = {6A},
    pages = {1190-202},
    title = {Human-mouse gene identification by comparative evidence integration and evolutionary analysis},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/zhang03gr.pdf},
    volume = 13,
    year = 2003
    }

  • J. Alon, S. Sclaroff, G. Kollios, and V. Pavlovic, “Discovering Clusters in Motion Time-Series Data,” in IEEE Conf. Computer Vision and Pattern Recognition, Madison, WI, 2003.
    [BibTeX] [Download PDF]
    @inproceedings{alon03:cvpr,
    address = {Madison, WI},
    author = {Alon, Joni and Sclaroff, Stan and Kollios, George and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/alon03cvpr.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {1fb33ce507373ec2f9650b2c9c4de3f6},
    intrahash = {7ddf884b40902f3b3b28540c93394a5d},
    month = {June},
    note = {25\% contribution. Poster, 23.6\% acceptance rate.},
    title = {Discovering Clusters in Motion Time-Series Data},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/alon03cvpr.pdf},
    year = 2003
    }

  • J. M. Rehg, V. Pavlovic, T. S. Huang, and W. T. Freeman, “Guest editors’ introduction to the special section on graphical models in computer vision,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, iss. 7, pp. 785-786, 2003.
    [BibTeX] [Download PDF]
    @article{rehg03:pamisi,
    author = {Rehg, J.M. and Pavlovic, V. and Huang, T.S. and Freeman, W.T.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/rehg03pamisi.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {0ec7e4b23e3ad3cb091ba73a000f4d8f},
    intrahash = {80de4f14a45c8fa7da3c167a43a06abf},
    journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
    month = {July},
    number = 7,
    pages = {785-786},
    title = {Guest editors' introduction to the special section on graphical models in computer vision},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/rehg03pamisi.pdf},
    volume = 25,
    year = 2003
    }

  • Y. Su, T. M. Murali, V. Pavlovic, M. Schaffer, and S. Kasif, “RankGene: Identification of diagnostic genes based on expression data,” Bioinformatics, vol. 19, iss. 12, pp. 1578-9, 2003.
    [BibTeX] [Download PDF]
    @article{suy03:bi,
    author = {Su, Y. and Murali, T. M. and Pavlovic, V. and Schaffer, M. and Kasif, S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/su03bi.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {3235d30f44b0861ad7622f2a4373b9f9},
    intrahash = {e147f098dae7a4bf939345cacace6305},
    journal = {Bioinformatics},
    month = Aug,
    note = {20\% contribution.},
    number = 12,
    pages = {1578-9},
    title = {RankGene: Identification of diagnostic genes based on expression data},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/su03bi.pdf},
    volume = 19,
    year = 2003
    }

  • A. Garg, V. Pavlovic, and J. M. Rehg, “Boosted learning in dynamic Bayesian networks for multimodal speaker detection,” Proc. of the IEEE, vol. 91, iss. 9, pp. 1355-1369, 2003.
    [BibTeX] [Download PDF]
    @article{garg03:pieee,
    author = {Garg, A. and Pavlovic, V. and Rehg, J. M.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/garg03pieee.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {8bdf7f04769878152c709d8e4eb4c227},
    intrahash = {8e818bbc27d782d3778c2b80da3f3a33},
    journal = {Proc. of the IEEE},
    month = {Sept},
    note = {33\% contribution.},
    number = 9,
    pages = {1355-1369},
    title = {Boosted learning in dynamic {Bayesian} networks for multimodal speaker detection},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/garg03pieee.pdf},
    volume = 91,
    year = 2003
    }

  • V. Pavlovic, L. Zhang, C. Cantor, and S. Kasif., “Cross-species gene identification: evolutionary analysis and architectures,” Computational Genomics, 2003.
    [BibTeX]
    @article{pavlovic03:cg,
    author = {Pavlovic, V. and Zhang, L. and Cantor, C. and Kasif., S.},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {3fbfa499d8065100c2083fd7a231cf98},
    intrahash = {0d037308e5ec161448074671061d35ac},
    journal = {Computational Genomics},
    month = Oct,
    note = {30\% contribution. Oral presentation, N/A acceptance rate},
    title = {Cross-species gene identification: evolutionary analysis and architectures},
    year = 2003
    }

2002

  • M. Walker, V. Pavlovic, and S. Kasif, “A comparative genomic method for computational identification of prokaryotic translation initiation sites,” in RECOMB, 2002.
    [BibTeX]
    @inproceedings{pavlovic02:start-recomb,
    author = {Walker, Megon and Pavlovic, Vladimir and Kasif, Simon},
    booktitle = {RECOMB},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {31bd956bec8faa17a43bf218fbc102b2},
    intrahash = {341627756b79f264a2e6faa92a0f2b7d},
    title = {A comparative genomic method for computational identification of prokaryotic translation initiation sites},
    year = 2002
    }

  • V. Pavlovic, A. Garg, and S. Kasif, “A Bayesian framework for combining gene predictions,,” Bioinformatics, vol. 18, iss. 1, pp. 19-27, 2002.
    [BibTeX] [Download PDF]
    @article{pavlovic02:bioinf,
    author = {Pavlovic, V. and Garg, A. and Kasif, S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic02bi.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {1275f0207065288f7d0151f9b02f3687},
    intrahash = {b60f0417f3341684fa8d41cf75aca639},
    journal = {Bioinformatics},
    month = {November},
    note = {33\% contribution},
    number = 1,
    pages = {19-27},
    title = {A {Bayesian} framework for combining gene predictions,},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic02bi.pdf},
    volume = 18,
    year = 2002
    }

  • T. Choudhury, J. Rehg, V. Pavlovic, and A. Pentland, “Multimodal speaker detection using boosted dynamic Bayesian networks,” in 1.Int’l Conf. Information Fusion, 2002, pp. 550-556.
    [BibTeX]
    @inproceedings{choudhury02:if,
    author = {Choudhury, T. and Rehg, J. and Pavlovic, V. and Pentland, A.},
    booktitle = {1.Int'l Conf. Information Fusion},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {4a52f0403924da12b3c7f95baeb5820e},
    intrahash = {16cada1add10aa62c8782ad3413286e5},
    month = {July},
    note = {20\% contribution, N/A acceptance rate},
    pages = {550-556},
    title = {Multimodal speaker detection using boosted dynamic {Bayesian} networks},
    year = 2002
    }

  • T. Choudhury, J. M. Rehg, V. Pavlovic, and A. Pentland, “Boosting and Structure Learning in Dynamic "Bayesian" Networks for Audio-Visual Speaker Detection,” in ICPR, Quebec City, Quebec, 2002.
    [BibTeX] [Download PDF]
    @inproceedings{choudhury02:icpr,
    address = {Quebec City, Quebec},
    author = {Choudhury, T. and Rehg, J. M. and Pavlovic, V. and Pentland, A.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/choudhury02icpr.pdf},
    booktitle = {ICPR},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {276f859c060730625a15a65cba9e82ff},
    intrahash = {fec9f5b5d8af6e31b4640b31bfc210cf},
    note = {30\% contribution. Poster, 44.8\% acceptance rate.},
    title = {Boosting and Structure Learning in Dynamic "{Bayesian}" Networks for Audio-Visual Speaker Detection},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/choudhury02icpr.pdf},
    year = 2002
    }

  • A. Garg and V. Pavlovic, “Bayesian Networks as Ensemble of Classifiers,” in ICPR, Quebec City, Quebec, 2002.
    [BibTeX] [Download PDF]
    @inproceedings{garg02:icpr,
    address = {Quebec City, Quebec},
    author = {Garg, Ashutosh and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/garg02icpr.pdf},
    booktitle = {ICPR},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {53bdc009db03196e49d0685019105206},
    intrahash = {7877d4cce317dc018d7dab4662ec4019},
    note = {50\% contribution. Oral presentation, 20.2\% acceptance rate},
    title = {{Bayesian} Networks as Ensemble of Classifiers},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/garg02icpr.pdf},
    year = 2002
    }

  • M. Walker, V. Pavlovic, and S. Kasif, “A comparative genomic method for computational identification of prokaryotic translation initiation sites,” Nucleic Acids Research, vol. 30, iss. 14, pp. 3181-91, 2002.
    [BibTeX] [Download PDF]
    @article{walker02:nar,
    author = {Walker, M. and Pavlovic, V. and Kasif, S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/walker02nar.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {31bd956bec8faa17a43bf218fbc102b2},
    intrahash = {331234bb2be9a4bd57ea00171b4b7714},
    journal = {Nucleic Acids Research},
    month = {July},
    note = {33\% contribution.},
    number = 14,
    pages = {3181-91},
    title = {A comparative genomic method for computational identification of prokaryotic translation initiation sites},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/walker02nar.pdf},
    volume = 30,
    year = 2002
    }

2001

  • V. Pavlovic and A. Garg, “Efficient Detection of Objects and Attributes Using Boosting,” in IEEE Conf. Computer Vision and Pattern Recognition, Kauai, HI, 2001.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic01:cvpr,
    address = {Kauai, HI},
    author = {Pavlovic, Vladimir and Garg, Ashutosh},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr01.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {a1495d2ea1dc5ac6f161872817b4c247},
    intrahash = {2a25b9563fc153f4b2b3fd99500ccb39},
    month = {December},
    note = {50\% contribution},
    title = {Efficient Detection of Objects and Attributes Using Boosting},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr01.pdf},
    year = 2001
    }

  • V. Pavlovic, D. Schonfeld, and G. Friedman, “Enhancement of Hopfield neural networks using stochatic noise processes,” in Neural Networks for Signal Processing XI, Proc. IEEE Signal Processing Society Workshop, 2001.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic01:nnsp,
    author = {Pavlovic, Vladimir and Schonfeld, Dan and Friedman, Genady},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/nnsp01.pdf},
    booktitle = {Neural Networks for Signal Processing XI, Proc. IEEE Signal Processing Society Workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {151c216826332ae3b70fef8be01f1e99},
    intrahash = {55ad36760769d443c229b22ca8fe2592},
    note = {50\% contribution. Poster, N/A acceptance rate},
    title = {Enhancement of Hopfield neural networks using stochatic noise processes},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/nnsp01.pdf},
    year = 2001
    }

  • A. Garg, V. Pavlovic, and J. M. Rehg, “Audio-Visual Speaker Detection using Dynamic Bayesian Networks,” in Int’l Conference on Automatic Face and Gesture Recognition, Grenoble, France, 2001.
    [BibTeX] [Download PDF]
    @inproceedings{garg01:fg,
    address = {Grenoble, France},
    author = {Garg, Ashutosh and Pavlovic, Vladimir and Rehg, James M.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/fg00.pdf},
    booktitle = {Int'l Conference on Automatic Face and Gesture Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {3625ca743c46928af9caa39f85f09c0e},
    intrahash = {05025c15492b767449ce0d5985dfd8a4},
    month = {April},
    note = {33\% contribution. N/A acceptance rate.},
    title = {Audio-Visual Speaker Detection using Dynamic {Bayesian} Networks},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/fg00.pdf},
    year = 2001
    }

  • T. Choudhury, J. Rehg, V. Pavlovic, and A. Pentland, “Multimodal speaker detection using boosted dynamic Bayesian networks,” in Snowbird Learning workshop, Snowbird, UT, 2001.
    [BibTeX]
    @inproceedings{choudhury01:snow,
    address = {Snowbird, UT},
    author = {Choudhury, T. and Rehg, J. and Pavlovic, V. and Pentland, A.},
    booktitle = {Snowbird Learning workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {68abd669075d3d8a7e08408e6a01d6ce},
    intrahash = {2f333dbc63fdcf7ae33e1a163e56f710},
    title = {Multimodal speaker detection using boosted dynamic {Bayesian} networks},
    year = 2001
    }

  • V. Pavlovic and S. Kasif, “Learning improved gene prediction,” in Snowbird Learning workshop, Snowbird, UT, 2001.
    [BibTeX]
    @inproceedings{pavlovic01:snow,
    address = {Snowbird, UT},
    author = {Pavlovic, Vladimir and Kasif, Simon},
    booktitle = {Snowbird Learning workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {ef5c7684f12cd364681f5ae6a9873484},
    intrahash = {cb2e50592290680b620166cd4bfc5e62},
    title = {Learning improved gene prediction},
    year = 2001
    }

2000

  • V. Pavlovic, A. Garg, J. M. Rehg, and T. S. Huang, “Multimodal speaker detection using error feedback DBNs,” in IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, SC, 2000.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic00:cvprspeaker,
    address = {Hilton Head Island, SC},
    author = {Pavlovic, Vladimir and Garg, Ashutosh and Rehg, James M. and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr00speaker.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {1275e83b02a2d03c609abef2e7f3f814},
    intrahash = {9e9173f4559cace23a53f45b0725e898},
    month = {June},
    note = {33\% contribution. Oral presentation, 14.2\% acceptance rate.},
    title = {Multimodal speaker detection using error feedback {DBNs}},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr00speaker.pdf},
    year = 2000
    }

  • R. Sharma, V. Pavlovic, T. S. Huang, Z. Lo, S. Chu, Y. Zhao, M. Zeller, J. Phillips, and K. Schulten, “Speech/gesture interface to a visual computing environment for molecular biologists,” IEEE Computer Graphics and Applications, vol. 20, iss. 2, pp. 29-37, 2000.
    [BibTeX] [Download PDF]
    @article{sharma00:cga,
    author = {Sharma, R. and Pavlovic, V. and Huang, T.S. and Lo, Z. and Chu, S. and Zhao, Y. and Zeller, M. and Phillips, J. and Schulten, K.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/sharma00cg.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {dba832e747dc9068c5d8dd59f7f867c2},
    intrahash = {967b49a6119037b92b3d3989d6590a1b},
    journal = {IEEE Computer Graphics and Applications},
    month = {March-April},
    note = {20\% contribution.},
    number = 2,
    pages = {29 -37},
    title = {Speech/gesture interface to a visual computing environment for molecular biologists},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/sharma00cg.pdf},
    volume = 20,
    year = 2000
    }

  • V. Pavlovic, J. M. Rehg, and J. MacCormick, “Learning Switching Linear Models of Human Motion,” in Neural Information Processing Systems, Denver, CO, 2000.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic00:nips,
    address = {Denver, CO},
    author = {Pavlovic, Vladimir and Rehg, James M. and MacCormick, John},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/nips00.pdf},
    booktitle = {Neural Information Processing Systems},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {4461fce8e57b1a921f8eca5592d88020},
    intrahash = {0e55ba09373266f19653e6d4b8fb2d37},
    month = {November},
    note = {33\% contribution. Poster, 30.2\% acceptance rate.},
    title = {Learning Switching Linear Models of Human Motion},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/nips00.pdf},
    year = 2000
    }

  • V. Pavlovic and J. M. Rehg, “Learning switching linear system models of figure motion from image sequences,” in Snowbird learning workshop, Snowbird, UT, 2000.
    [BibTeX]
    @inproceedings{pavlovic00:snow,
    address = {Snowbird, UT},
    author = {Pavlovic, Vladimir and Rehg, James M.},
    booktitle = {Snowbird learning workshop},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {26a23f687a2ae7cc5a1257776847c95d},
    intrahash = {e38ba9676ecb0ca94349f10b325caa1f},
    title = {Learning switching linear system models of figure motion from image sequences},
    year = 2000
    }

  • V. Pavlovic, A. Garg, and S. Kasif, “A Bayesian Framework for Combining Gene Predictions,” in Computational Genomics, 2000.
    [BibTeX]
    @inproceedings{pavlovic00:cgen,
    author = {Pavlovic, Vladimir and Garg, Ashutosh and Kasif, Simon},
    booktitle = {Computational Genomics},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {c3703874798f8e01df6066ffb11da6e1},
    intrahash = {2c481f385cb53cc15f60cf1932ab6511},
    month = {November},
    note = {33\% contribution. Oral presentation, N/A acceptance rate},
    title = {A {Bayesian} Framework for Combining Gene Predictions},
    year = 2000
    }

  • V. Pavlovic and J. M. Rehg, “Impact of dynamic model learning on classification of human motion,” in IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, SC, 2000.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic00:cvprmotion,
    address = {Hilton Head Island, SC},
    author = {Pavlovic, Vladimir and Rehg, James M.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr00slds.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {436993615350c7d793ff85ddd9942312},
    intrahash = {d6525f5ea20c983887cc449309a6f8bf},
    month = {June},
    note = {50\% contribution. Oral presentation, 14.2\% acceptance rate.},
    title = {Impact of dynamic model learning on classification of human motion},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr00slds.pdf},
    year = 2000
    }

  • V. Pavlovic, J. M. Rehg, and T. Cham, “A dynamic Bayesian network approach to tracking using learned,” in Int’l Workshop on Hybrid Systems: Computation and Control, Pittsburgh, PA, 2000.
    [BibTeX]
    @inproceedings{pavlovic00:iwhs,
    address = {Pittsburgh, PA},
    author = {Pavlovic, Vladimir and Rehg, James M. and Cham, Tat-Jen},
    booktitle = {Int'l Workshop on Hybrid Systems: Computation and Control},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {bf2e5529493ff612a4f43f65deee141f},
    intrahash = {a6f9dc3f3b0a2fee9d1a101f7a662f66},
    month = {March},
    note = {33\% contribution. Oral presentation, N/A acceptance rate},
    title = {A dynamic {Bayesian} network approach to tracking using learned},
    year = 2000
    }

  • V. Pavlovic, A. Garg, and J. M. Rehg, “Multimodal speaker detection using input/output hidden Markov models,” in Int’l Conf. Multimodal Interfaces, Beijing, China, 2000.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic00:icmi,
    address = {Beijing, China},
    author = {Pavlovic, Vladimir and Garg, Ashutosh and Rehg, James M.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/icmi00.pdf},
    booktitle = {Int'l Conf. Multimodal Interfaces},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {0ba4d7490ba83ac893e2c69c036c67e4},
    intrahash = {71e6910a1526879a2672579595b6756b},
    month = {October},
    note = {33\% contribution. Oral presentation, N/A acceptance rate},
    title = {Multimodal speaker detection using input/output hidden {Markov} models},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/icmi00.pdf},
    year = 2000
    }

1999

  • V. Pavlovic, B. Frey, and T. S. Huang, “Variational Learning in Mixed-State Dynamic Graphical Models,” in Proc. Uncertainty in Artificial Intelligence, Stockholm, Sweeden, 1999.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic99:uai,
    address = {Stockholm, Sweeden},
    author = {Pavlovic, Vladimir and Frey, Brendan and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/uai99.ps.gz},
    booktitle = {Proc. Uncertainty in Artificial Intelligence},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {1fed5c94a6b35425d30968fac2f17ed6},
    intrahash = {b58e382b93493545406feb541482b775},
    month = {August},
    note = {33\% contribution. Oral presentation, 51\% acceptance rate.},
    title = {Variational Learning in Mixed-State Dynamic Graphical Models},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/uai99.ps.gz},
    year = 1999
    }

  • V. Pavlovic, B. Frey, and T. S. Huang, “Time Series Classification Using Mixed-State Dynamic Bayesian Networks,” in IEEE Conf. Computer Vision and Pattern Recognition, Ft. Collins, CO, 1999.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic99:cvpr,
    address = {Ft. Collins, CO},
    author = {Pavlovic, Vladimir and Frey, Brendan and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr99.pdf},
    booktitle = {IEEE Conf. Computer Vision and Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {52d052d2ef70f4ec4178e38e85dc6b64},
    intrahash = {175e12d5d3d4d9106d4725876d8a1697},
    note = {33\% contribution. Oral presentation, N/A acceptance rate.},
    title = {Time Series Classification Using Mixed-State Dynamic {Bayesian} Networks},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/cvpr99.pdf},
    year = 1999
    }

  • V. Pavlovic, “Dynamic Bayesian Networks for Information Fusion with Application to Human-Computer Interfaces,” PhD Thesis, 1999.
    [BibTeX] [Download PDF]
    @phdthesis{pavlovic99:phd,
    author = {Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/phd.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {a2612c513324eabb446528e6002444e8},
    intrahash = {3cfd7e99b4b20fa979657b7cf25bdcea},
    month = {January},
    school = {University of Illinois at Urbana-Champaign},
    title = {Dynamic {Bayesian} Networks for Information Fusion with Application to Human-Computer Interfaces},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/phd.pdf},
    year = 1999
    }

  • V. Pavlovic, J. M. Rehg, T. Cham, and K. Murphy, “A Dynamic Bayesian Network Approach to Figure Tracking Using Learned Dynamical Models,” in IEEE Int’l Conf. Computer Vision, Kerkyra, Greece, 1999.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic99:iccv,
    address = {Kerkyra, Greece},
    author = {Pavlovic, Vladimir and Rehg, James M. and Cham, Tat-Jen and Murphy, Kevin},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/iccv99.pdf},
    booktitle = {IEEE Int'l Conf. Computer Vision},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {0971e3ff062cf4e27e01e322000928c3},
    intrahash = {67cbf64e7a67ae624defa7073bfb5ccd},
    month = {October},
    note = {25\% contribution. Oral presentation, 31\% acceptance rate.},
    title = {A Dynamic {Bayesian} Network Approach to Figure Tracking Using Learned Dynamical Models},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/iccv99.pdf},
    year = 1999
    }

  • V. Pavlovic, P. Moulin, and K. Ramchandran, “Integrated framework for adaptive subband image coding,” IEEE Transactions on Signal Processing, vol. 47, iss. 4, pp. 1024-1038, 1999.
    [BibTeX] [Download PDF]
    @article{pavlovic99:tsp,
    author = {Pavlovic, V. and Moulin, P. and Ramchandran, K.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic99sp.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {d522fc6b0632d8e00a3d02d541369d3f},
    intrahash = {51ef8c6fb1fa9c89b4c5b0c0eb67c3b6},
    journal = {IEEE Transactions on Signal Processing},
    month = {April},
    note = {33\% contribution.},
    number = 4,
    pages = {1024 -1038},
    title = {Integrated framework for adaptive subband image coding},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic99sp.pdf},
    volume = 47,
    year = 1999
    }

1998

  • R. Sharma, V. Pavlovic, and T. S. Huang, “Towards multimodal human-computer interface,” Proc. of the IEEE, vol. 86, iss. 5, pp. 853-869, 1998.
    [BibTeX]
    @article{sharma98:pieee,
    author = {Sharma, R. and Pavlovic, V. and Huang, T. S.},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {d8167edbeaf675801f72ba8fb24b1735},
    intrahash = {46a9d554f14ffc3777010177a605f3fa},
    journal = {Proc. of the IEEE},
    month = May,
    note = {33\% contribution.},
    number = 5,
    pages = {853 -869},
    title = {Towards multimodal human-computer interface},
    volume = 86,
    year = 1998
    }

  • G. Berry, V. Pavlovic, and T. S. Huang, “A Multimodal Human-Computer Interface for the Control of a Virtual Environment,” in AAAI Workshop on Intelligent Environments, Stanford University, CA, 1998.
    [BibTeX] [Download PDF]
    @inproceedings{berry98:aaai,
    address = {Stanford University, CA},
    author = {Berry, Gregory and Pavlovic, Vladimir and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/aaai98ie.pdf},
    booktitle = {AAAI Workshop on Intelligent Environments},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {b5f3087233289ea5c7820b66655fd6a4},
    intrahash = {12bdb0e5b5dcbe04269d4f580ce93a21},
    note = {33\% contribution. N/A acceptance rate},
    title = {A Multimodal Human-Computer Interface for the Control of a Virtual Environment},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/aaai98ie.pdf},
    year = 1998
    }

  • V. Pavlovic, G. Berry, T. S. Huang, L. Devi, Y. Sethi, and R. Sharma, “Integration of speech and gestures for display control,” in 2nd Advanced Display Federated Laboratory Symposium, College Park, MD, 1998.
    [BibTeX]
    @inproceedings{pavlovic98:arl,
    address = {College Park, MD},
    author = {Pavlovic, V. and Berry, G. and Huang, T.S. and Devi, L. and Sethi, Y. and Sharma, R.},
    booktitle = {2nd Advanced Display Federated Laboratory Symposium},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {3faeee8b0f94c2ab575943f2b81f8950},
    intrahash = {9a0d5ecbc8b4715e4f5c58bf1e001cb0},
    month = {February},
    title = {Integration of speech and gestures for display control},
    year = 1998
    }

  • V. Pavlovic and T. S. Huang, “Tracking and classification of audio/visual features,” in IEEE Int’l Conf. Image Processing, Chicago, IL, 1998.
    [BibTeX]
    @inproceedings{pavlovic98:icip,
    address = {Chicago, IL},
    author = {Pavlovic, Vladimir and Huang, Thomas S.},
    booktitle = {IEEE Int'l Conf. Image Processing},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {51bbeff3ac1d46d36b1c1a0f6eabe047},
    intrahash = {a175ed45a5c389b02774f6b590ed29cd},
    note = {50\% contribution. Poster, N/A acceptance rate},
    title = {Tracking and classification of audio/visual features},
    year = 1998
    }

  • V. Pavlovic and T. S. Huang, “Multimodal Tracking and Classification of Audio-Visual Features,” in AAAI Workshop on Representations for Multi-modal Human-Computer Interaction, Madison, WI, 1998.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic98:aaai,
    address = {Madison, WI},
    author = {Pavlovic, Vladimir and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/aaai98mm.pdf},
    booktitle = {AAAI Workshop on Representations for Multi-modal Human-Computer Interaction},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {7d868cdaacd0b66a2b0a6384cb4f249c},
    intrahash = {3dd5c5363e09b8f142eeb486b33e640d},
    month = {July},
    note = {50\% contribution. Oral presentation, N/A acceptance rate},
    title = {Multimodal Tracking and Classification of Audio-Visual Features},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/aaai98mm.pdf},
    year = 1998
    }

1997

  • M. Zeller, J. Phillips, A. Dalke, W. Humphrey, K. Schulten, R. Sharma, T. S. Huang, V. Pavlovic, Y. Zhao, Z. Lo, and S. Chu, “A visual computing environment for very large scale biomolecular modeling,” in IEEE International Conference on Application-Specific System, Architectures and Processors, Zurich, Switzerland, 1997.
    [BibTeX]
    @inproceedings{zeller97,
    address = {Zurich, Switzerland},
    author = {Zeller, M. and Phillips, J. and Dalke, A. and Humphrey, W. and Schulten, K. and Sharma, R. and Huang, T.S. and Pavlovic, V. and Zhao, Y. and Lo, Z. and Chu, S.},
    booktitle = {IEEE International Conference on Application-Specific System, Architectures and Processors},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {93b085297602ebe149e58e99751d3120},
    intrahash = {12b27545fdd583fd979ac5773ec8240f},
    month = {July},
    title = {A visual computing environment for very large scale biomolecular modeling},
    year = 1997
    }

  • V. Pavlovic, G. Berry, and T. S. Huang, “Integration of audio/visual information for intelligent human-computer interaction,” in IEEE Int’l Conf. Image Processing, Santa Barbara, CA, 1997.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic97:icip,
    address = {Santa Barbara, CA},
    author = {Pavlovic, Vladimir and Berry, Gregory and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/icip97.ps.gz},
    booktitle = {IEEE Int'l Conf. Image Processing},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {cc540171724a8c8125abf179244cbf92},
    intrahash = {ee1fe2333646c71a570ccc4926f9e1a2},
    note = {33\% contribution. Oral presentation, N/A acceptance rate},
    title = {Integration of audio/visual information for intelligent human-computer interaction},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/icip97.ps.gz},
    year = 1997
    }

  • V. Pavlovic, K. Ramchandran, and P. Moulin, “Transform image coding based on joint adaptation of filer banks, tree structures and quantizers,” in DCC, Salt Lake City, UT, 1997.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic97:dcc,
    address = {Salt Lake City, UT},
    author = {Pavlovic, Vladimir and Ramchandran, Kanan and Moulin, Pierre},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/dcc97.ps.gz},
    booktitle = {DCC},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {4ecfe634f062fdd2625f99cfec9b89f8},
    intrahash = {867d3d035c5d4d4f2ffa95dcd392d412},
    title = {Transform image coding based on joint adaptation of filer banks, tree structures and quantizers},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/dcc97.ps.gz},
    year = 1997
    }

  • V. Pavlovic, G. Berry, and T. S. Huang, “Fusion of audio/visual information for human-computer interaction,” in Workshop on Perceptual User Interfaces, Banff, Alberta, 1997.
    [BibTeX] [Download PDF]
    @inproceedings{pavlovic97:pui,
    address = {Banff, Alberta},
    author = {Pavlovic, Vladimir and Berry, Gregory and Huang, Thomas S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/pui97.pz.gz},
    booktitle = {Workshop on Perceptual User Interfaces},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {33d09977c7747a33846ac12e6dcaec0e},
    intrahash = {f1f7ae19500c609fa3898fae76eaa4e2},
    month = {October},
    note = {33\% contribution. Poster, N/A acceptance rate},
    title = {Fusion of audio/visual information for human-computer interaction},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/pui97.pz.gz},
    year = 1997
    }

  • V. Pavlovic, R. Sharma, and T. S. Huang, “Visual interpretation of hand gestures for human-computer interaction: A review,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, iss. 7, pp. 677-695, 1997.
    [BibTeX] [Download PDF]
    @article{pavlovic97:pami,
    author = {Pavlovic, V. and Sharma, R. and Huang, T.S.},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic97pami.pdf},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {072a60744d19f06300aacf86dea8f1b2},
    intrahash = {fb2ee319a1307f4e62aa5585302fe238},
    journal = {IEEE Trans. Pattern Analysis and Machine Intelligence},
    month = {July},
    note = {33\% contribution.},
    number = 7,
    pages = {677 -695},
    title = {Visual interpretation of hand gestures for human-computer interaction: A review},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/pavlovic97pami.pdf},
    volume = 19,
    year = 1997
    }

1996

  • R. Sharma, T. S. Huang, and V. Pavlovic, “A multimodal framework for interacting with complex virtual environments,” in Human Interaction with Complex Systems, C. A. Ntuen and E. H. Park, Eds., Kluwer Academic Publishers, 1996, pp. 53-71.
    [BibTeX]
    @incollection{sharma96:hics,
    author = {Sharma, R. and Huang, T. S. and Pavlovic, V.},
    booktitle = {Human Interaction with Complex Systems},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    editor = {Ntuen, C.A. and Park, E. H.},
    interhash = {0b0483346f2554104a298053dd78e3a9},
    intrahash = {27b5dae5be8bb6e4f4c86cfa650f82a6},
    note = {33\% contribution.},
    pages = {53-71},
    publisher = {Kluwer Academic Publishers},
    title = {A multimodal framework for interacting with complex virtual environments},
    year = 1996
    }

  • R. Sharma, T. S. Huang, and V. Pavlovic, “Human Interaction with Complex Systems,” , C. A. Ntuen and E. H. Park, Eds., Kluwer Academic Publishers, 1996, pp. 53-71.
    [BibTeX]
    @inbook{sharma96:book,
    author = {Sharma, Rajeev and Huang, Thomas S. and Pavlovic, Vladimir},
    chapter = {A multimodal framework for interacting with complex virtual environments},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    editor = {Ntuen, C. A. and Park, E. H.},
    interhash = {e3d30ade0909abcb17902ed26680851a},
    intrahash = {387cb5621f32cb519563562957c3798d},
    pages = {53-71},
    publisher = {Kluwer Academic Publishers},
    title = {Human Interaction with Complex Systems},
    year = 1996
    }

  • T. S. Huang, V. Pavlovic, and R. Sharma, “Speech/gesture-based human computer interface in virtual environments,” in Workshop on Integration of Gestures, Speech, and Language, Wilmington, DE, 1996.
    [BibTeX]
    @inproceedings{huang96:wigsl,
    address = {Wilmington, DE},
    author = {Huang, Thomas S. and Pavlovic, Vladimir and Sharma, Rajeev},
    booktitle = {Workshop on Integration of Gestures, Speech, and Language},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {c82f2a1200ba1b7f0a8125953e9f238c},
    intrahash = {26a52ba8f3cfc4b8777f13859f247826},
    month = {October},
    note = {33\% contribution. N/A acceptance rate},
    title = {Speech/gesture-based human computer interface in virtual environments},
    year = 1996
    }

  • P. Moulin, K. Ramchandran, and V. Pavlovic, “Transform image coding based on joint adaptation of filer banks and tree structures,” in IEEE Int’l Conf. Image Processing, Laussanne, Switzerland, 1996.
    [BibTeX] [Download PDF]
    @inproceedings{moulin96:icip,
    address = {Laussanne, Switzerland},
    author = {Moulin, Pierre and Ramchandran, Kannan and Pavlovic, Vladimir},
    bdsk-url-1 = {http://www.cs.rutgers.edu/~vladimir/pub/icip96.ps.gz},
    booktitle = {IEEE Int'l Conf. Image Processing},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {ade5b940d50812fe158621300e4b1df8},
    intrahash = {399c4f60ee2c9f9a71b51b111b0789e6},
    note = {33\% contribution. Oral presentation, N/A acceptance rate.},
    title = {Transform image coding based on joint adaptation of filer banks and tree structures},
    url = {http://www.cs.rutgers.edu/~vladimir/pub/icip96.ps.gz},
    year = 1996
    }

  • R. Sharma, T. S. Huang, V. Pavlovic, K. Schulten, A. Dalke, J. Phillips, M. Zeller, W. Humphrey, Y. Zhao, Z. Lo, and S. Chu, “Speech / gesture interface to a visual computing environment for molecular biologists,” in International Conference on Pattern Recognition, Vienna, Austria, 1996.
    [BibTeX]
    @inproceedings{sharma96:icpr,
    address = {Vienna, Austria},
    author = {Sharma, Rajeev and Huang, Thomas S. and Pavlovic, Vladimir and Schulten, Klauss and Dalke, Andrew and Phillips, J. and Zeller, M. and Humphrey, W. and Zhao, Y. and Lo, Z. and Chu, S.},
    booktitle = {International Conference on Pattern Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {62128c35711220e0183e10f929fb12bd},
    intrahash = {6a42527c33216e5fc80b7e37808ada55},
    title = {Speech / gesture interface to a visual computing environment for molecular biologists},
    year = 1996
    }

  • V. Pavlovic, R. Sharma, and T. S. Huang, “Gestural interface to a visual computing environment for molecular biologists,” in 2nd International. Conference on Automatic Face and Gesture Recognition, Killington, VT, 1996.
    [BibTeX]
    @inproceedings{pavlovic96:fg,
    address = {Killington, VT},
    author = {Pavlovic, Vladimir and Sharma, Rajeev and Huang, Thomas S.},
    booktitle = {2nd International. Conference on Automatic Face and Gesture Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {6194a4e8d08e7d952497454020bef113},
    intrahash = {b7b9499a1a1885d45b16ea384a4c4ec8},
    note = {33\% contribution. Poster, N/A acceptance rate.},
    title = {Gestural interface to a visual computing environment for molecular biologists},
    year = 1996
    }

1995

  • T. S. Huang and V. Pavlovic, “Hand gesture modeling, analysis, and synthesis,” in Int’l Workshop on Automatic Face and Gesture Recognition, Zurich, Switzerland, 1995.
    [BibTeX]
    @inproceedings{huang95:fg,
    address = {Zurich, Switzerland},
    author = {Huang, Thomas S. and Pavlovic, Vladimir},
    booktitle = {Int'l Workshop on Automatic Face and Gesture Recognition},
    date-added = {2012-12-07 19:58:34 +0000},
    date-modified = {2012-12-07 19:58:34 +0000},
    interhash = {76e4f013c4e5802373f0bf9a5a1c6012},
    intrahash = {47bd91a3f473e77d2545e611f9b95ffd},
    month = May,
    note = {50\% contribution. N/A acceptance rate.},
    title = {Hand gesture modeling, analysis, and synthesis},
    year = 1995
    }