I am a Ph.D candidate in the Department of Computer Science and Engineering at Michigan State University, advised by Dr. Yu Kong.
My research interests are computer vision, multi-modality, and trustworthy AI motivated by real-world problems in surveillence, sports, social media, and healthcare.
Specifically, my research focuses on the topics of long-form video understanding, human behavior modeling, and visual grounding. I developed predictive methods to capture spatio-temporal, dynamic, and interpretable patterns in large-scale multi-modal data.
Contact: chenjunw at msu dot edu
07.2023           | Paper on long-form VideoQA was accepted by ACM Multimedia 2023. |
08.2022           | Passed comprehensive exam. |
04.2023           | To present in CVPR'23 Doctoral Consortium. |
08.2022           | First day at MSU. |
02.2022           | Paper on online action detection was accepted by CVPR 2022. |