Yu Kong

Dr. Yu Kong is an Assistant Professor of the Department of Computer Science and Engineering, Michigan State University. He is now directing the ACTION Lab. He is an IEEE Senior Member.

Dr. Kong’s research interests are Computer Vision, Machine Learning, Social Media Analytics, and Smart Environment. More specifically, he works on video understanding algorithms for action recognition, visual forecasting, image super-resolution, object detection and tracking, and machine learning algorithms for robust decision making including meta-learning, active learning, multi-modal learning, and transfer learning.

Openings in Fall 2024: We have openings for Ph.D. students, Visiting Scholars, and Research Associates.If you are interested, please contact me using this external contact form. Once you have submitted the form, feel free to send me an email with your CV. How to apply?

Research Areas

• Video Understanding
  • Action Recognition: A survey [IJCV-22], DEAR: Deep Evidential Action Recognition [ICCV-21], Max-Margin Heterogenous Information Machine [IJCV 2017]
  • Action Detection: GateHUB [CVPR 2022], OpenTAL: open-set temporal action localization [CVPR 2022]
  • Visual Forecasting: Egocentric 3D Trajectory Forecasting [ICCV-23], Adversarial Action Prediction Networks [T-PAMI 2020], DRIVE [ICCV 2021], Group Activity Prediction [ECCV 2020], Uncertainty-based Traffic Accident Anticipation [MM 2020]
• Vision-language Modeling: Visual Reasoning [MM-23], Video Entailment [ICCV-21], Visual Grounding [MM-20]
• Open-world Recognition: Open-set Action Recognition [ICCV 2021], Open-set Action Localization [CVPR 2022], Generalized Open-set Recognition [WACV-23]