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Computational Behavior (CUBE) Lab
The CUBE Lab focuses broadly on multi-modal methods for computational behavior science, specifically in areas of modeling, analysis, and synthesis of human behavior and emotion using diverse sensors.

For more information, please visit Laszlo Jeni’s CUBE Lab Site.

Displaying 9 Publications

2024
Mosam Dabhi, László A. Jeni, and Simon Lucey
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 10466-10475, June, 2024
Tamás Karácsony, László Attila Jeni, Fernando De la Torre, and João Paulo Silva Cunha
Journal Article, Image and Vision Computing, Vol. 143, No. 104928, February, 2024
2023
Gupta, Aarush, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, and László A. Jeni.
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, December, 2023
Master's Thesis, Tech. Report, CMU-RI-TR-23-37, July, 2023
Chaoyang Wang, Lachlan Ewen MacDonald, Laszlo A. Jeni, and Simon Lucey.
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2023
Heng Yu and Joel Julin and Zoltan Adam Milacski and Koichiro Niinuma and Laszlo Attila Jeni
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2023
Heng Yu, Milacski ZA, and Laszlo Attila Jeni
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, June, 2023
PhD Thesis, Tech. Report, CMU-RI-TR-23-25, May, 2023
2022
Mosam Dabhi, Chaoyang Wang, Tim Clifford, Laszlo Attila Jeni, Ian R. Fasel, and Simon Lucey
Conference Paper, Proceedings of (NeurIPS) Neural Information Processing Systems, December, 2022