On May 14 7:30pm EST, we will be hosting another livestream session featuring Dian Shao from CUHK, speaking about her team’s latest work FineGym, a fine-graned action understanding dataset that received 3 “strongly accept” scores at CVPR this year. Dian will also be sharing their experience and lessons learned from building a high quality dataset.
What will be discussed?
- Introduction to FineGym
- Why it is important to go fine-grained for action understanding tasks
- Lessons learned from creating a high quality dataset
- How to strike a balance between accuracy and efficiency on subtly different actions?
- How to model complex temporal dynamics efficiently, effectively and robustly
- Future work of action understanding
Do you think these are the most relevant topics to discuss? What are some other questions to cover with the author?