Chapter on “Machine Learning Methods for Social Signal Procesing” in Social Signal Processing book

Social Signal Processing book by Cambridge University Press was finally published this July.   Read our chapter on “Machine Learning Methods for Social Signal Processing”[1] on p. 234 of this collection of outstanding articles.


[1] O. Rudovic, M. Nicolaou, and V. Pavlovic, “Social Signal Processing,” , A. Vinciarelli, J. Burgoon, N. Magnenat-Thalmann, and M. Pantic, Eds., Cambridge University Press, 2017.
Author = {Ognjen Rudovic and Mihalis Nicolaou and Vladimir Pavlovic},
Chapter = {Machine Learning Methods for Social Signal Processing},
Editor = {Alessandro Vinciarelli and Judee Burgoon and Nadia Magnenat-Thalmann and Maja Pantic},
Note = {33\% contribution},
Publisher = {Cambridge University Press},
Title = {Social Signal Processing},
Year = {2017}}

Depth Recovery Paper

Our article on depth recovery using deformable object priors was accepted for publication in Journal of Visual Communication and Image Representation [1]:

[1] 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.
added-at = {2017-07-18T17:26:03.000+0200},
author = {Chen, Chongyu and Pham, Hai Xuan and Pavlovic, Vladimir and Cai, Jianfei and Shi, Guangming and Gao, Yuefang},
biburl = {},
interhash = {14284536d8e03504dfb06b171c8598fe},
intrahash = {d52164653eb6d2d7324656f9cbc20d3f},
journal = {J. Visual Commun. Image Represent.},
keywords = {imported myown},
owner = {vladimir},
timestamp = {2017-07-18T18:07:32.000+0200},
title = {Using 3D Face Priors for Depth Recovery},
year = 2017



Ancient Coin Recognition Paper

 Our article dealing with the problem of Ancient Coin Recognition was recently accepted for publication [1]:

[1] [doi] J. Kim and V. Pavlovic, “Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks,” SPIE Journal of Electronic Imaging, 2017.
added-at = {2017-07-18T17:26:03.000+0200},
author = {Kim, Jongpil and Pavlovic, Vladimir},
biburl = {},
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},
keywords = {coin_analysis deep_learning myown},
note = {Accepted for publication. 50\% contribution.},
timestamp = {2017-07-18T18:07:19.000+0200},
title = {Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks},
year = 2017

Congratulations to Jongpil!