I am a staff research scientist at Google, and an incoming assistant professor of computer science at Brown University, affiliated with the visual computing group. My research interest is on computer vision and machine learning, with the focus on building machine intelligence that understands and anticipates human activities from videos, and ultimately developing autonomous machines that interact with and assist us in unconstrained environments. I am looking for highly motivated students (info for prospective students).
I work closely with Cordelia Schmid and Kevin Murphy at Google. I received my Ph.D. from the University of Southern California in 2016, advised by Prof. Ram Nevatia, and my bachelor degree in Computer Science at Tsinghua University in 2011.
- CS2950-K Special Topics in Computational Linguistics, Fall 2020.
- Senior Program Committee, AAAI 2021.
- Area Chair, CVPR 2020 and 2021.
- Area Chair, WACV 2017 and 2018.
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy and Cordelia Schmid
arXiv / Research Blog / VentureBeat
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao*, Chen Sun*, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li and Cordelia Schmid
arXiv / Waymo Blog / VentureBeat
Speech2Action: Cross-modal Supervision for Action Recognition
Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid and Andrew Zisserman
arXiv / Project / Data
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid and Phillip Isola
arXiv / Research Blog / Project / Code