COM2-02-16
660 17716
SHOU Zheng, Mike
Assistant Professor- Ph.D. (Columbia University, USA, May 2019)
Dr. Mike Zheng Shou is a tenure-track Assistant Professor at National University of Singapore and a former Research Scientist at Facebook AI in the Bay Area. He holds a PhD degree from Columbia University in the City of New York, where he worked with Prof. Shih-Fu Chang. He was awarded the Wei Family Private Foundation Fellowship. He received the best paper finalist at CVPR'22 and the best student paper nomination at CVPR'17. His team won 1st place in multiple international challenges including ActivityNet 2017, EPIC-Kitchens 2022, Ego4D 2022 & 2023. He is a Fellow of the National Research Foundation (NRF) Singapore and has been named on the Forbes 30 Under 30 Asia list. Dr. Shou regularly serves as Area Chair for IEEE Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), ACM International Conference on Multimedia.
RESEARCH AREAS
Media
- Computer Vision & Pattern Recognition
- Multimedia Analytics
Artificial Intelligence
- Natural Language Processing
- Computer Vision
RESEARCH INTERESTS
RESEARCH PROJECTS
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- "Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation." In IEEE Conference on International Conference on Computer Vision (ICCV), 2023. The 1st open-source video diffusion model with 3.5K GitHub stars.
- "All in One: Exploring Unified Video-Language Pre-training." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
- "AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant." In European Conference on Computer Vision (ECCV), 2022.
- "Egocentric Video-Language Pretraining." In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. Spotlight, 1.7% acceptance rate. The first work to pioneer vision-language foundation model for egocentric video.
AWARDS & HONOURS
Singapore National Research Foundation Fellowship (Class of 2021)
Forbes 30 Under 30 Asia List (Health and Technology)
MODULES TAUGHT