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.|