Publication:
- S. S. Sohn, M. Lee, S. Moon, G. Qiao, M. Usman, S. Yoon, V. Pavlovic, and M. Kapadia, “A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction,” Comput. Graph., vol. 106, p. 130–140, 2022. doi:10.1016/j.cag.2022.05.010
[BibTeX] [Download PDF]@article{SohnLMQUYPK22, author = {Samuel S. Sohn and Mihee Lee and Seonghyeon Moon and Gang Qiao and Muhammad Usman and Sejong Yoon and Vladimir Pavlovic and Mubbasir Kapadia}, title = {{A2X:} An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction}, journal = {Comput. Graph.}, volume = {106}, pages = {130--140}, year = {2022}, url = {https://doi.org/10.1016/j.cag.2022.05.010}, doi = {10.1016/j.cag.2022.05.010}, timestamp = {Tue, 11 Oct 2022 14:59:07 +0200}, biburl = {https://dblp.org/rec/journals/cg/SohnLMQUYPK22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } - S. Sohn, M. Lee, S. Moon, G. Qiao, M. Usman, S. Yoon, V. Pavlovic, and M. Kappadia, “A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction,” in MIG – the 14th ACM SIGGRAPH Conference on Motion, Interaction and Games, online, 2021.
[BibTeX]@inproceedings{sohn21mig, author = {Samuel Sohn and Mihee Lee and Seonghyeon Moon and Gang Qiao and Muhammad Usman and Sejong Yoon and Vladimir Pavlovic and Mubbasir Kappadia}, title = {A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction}, booktitle = {MIG - the 14th ACM SIGGRAPH Conference on Motion, Interaction and Games}, year = {2021}, address = {online} } - G. Qiao, H. Zhou, S. Yoon, M. Kapadia, and V. Pavlovic, “On Measuring Task-Level Inter-Agent interaction in Decentralized Crowd, and its Application in Estimating Scenario Generalization,” CoRR, vol. abs/2002.xxxxx, 2020.
[BibTeX] [Download PDF]@article{qiao20corr_aaai, author = {Gang Qiao and Honglu Zhou and Sejong Yoon and Mubbasir Kapadia and Vladimir Pavlovic}, title = {On Measuring Task-Level Inter-Agent interaction in Decentralized Crowd, and its Application in Estimating Scenario Generalization}, journal = {CoRR}, volume = {abs/2002.xxxxx}, year = {2020}, url = {https://arxiv.org/abs/2002.xxxxx}, archiveprefix = {arXiv}, eprint = {2002.xxxxx}, biburl = {https://dblp.org/rec/journals/corr/abs-2002-xxxxx.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } - G. Qiao, H. Zhou, S. Yoon, M. Kapadia, and V. Pavlovic, “Scenario Generalization of Data-driven Imitation Models in Crowd Simulation,” in ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG), 2019. doi:10.1145/3359566.3360087
[BibTeX]@inproceedings{gang19mig, author = {Gang Qiao and Honglu Zhou and Sejong Yoon and Mubbasir Kapadia and Vladimir Pavlovic}, booktitle = {ACM SIGGRAPH Conference on Motion, Interaction and Games (MIG)}, date-added = {2019-09-05 20:43:26 +0100}, date-modified = {2019-09-05 20:46:44 +0100}, doi = {10.1145/3359566.3360087}, title = {Scenario Generalization of Data-driven Imitation Models in Crowd Simulation}, year = {2019}, bdsk-url-1 = {https://doi.org/10.1145/3359566.3360087} } - G. Qiao, S. Yoon, M. Kapadia, and V. Pavlovic, “The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation,” in AAAI, 2018, p. 4710–4717.
[BibTeX]@inproceedings{gang19priors, author = {Gang Qiao and Sejong Yoon and Mubbasir Kapadia and Vladimir Pavlovic}, booktitle = {{AAAI}}, pages = {4710--4717}, publisher = {{AAAI} Press}, title = {The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation}, year = {2018} }