Changan Chen 陈昌安
I am a Ph.D. student in Computer Science at UT Austin advised by Prof. Kristen Grauman . I am broadly interested at building machine learning models that perceive the world with multi-modalities and interact with the world. Currently, I work on embodied AI, audio-visual learning and acoustics modeling.
Previously, I spent five months working with Prof. Andrea Vedaldi and Dr. Natalia Neverova at FAIR, London. I was a visiting researcher at FAIR working with Prof. Kristen Grauman for two years. In my undergrad, I spent a wonderful year working with Prof. Greg Mori on sports video analysis and efficient deep learning, eight months working with Prof. Alexandre Alahi on social navigation in crowds, and eight months working with Prof. Manolis Savva on relational graph reasoning for navigation.
Embodied AI Workshop
Manolis Savva | Manolis Savva
AV4D Workshop | ICCV 2023
Ruohan Gao
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
Chenxu Hu - THU
Yunbum Kook
Sagnik Majumder
Kumar Ashutosh
Simian Luo - THU
M3DS @CVPR24