Program

Date: TBD. Time zone is PDT (local time at Vancouver, Canada). 

For virtual attendees, please join the workshop using the zoom link on the CVPR virtual site. Registration is required by CVPR.

Room: West 118-120

08:50-09:00 Welcome by organizers

09:00-09:30 Invited talk - Zhijian Liu (MIT), Efficient 3D Perception for Autonomous Vehicles 

09:30-10:00 Invited talk - Andrew Howard (Google), MobileNets: From First Principles to Adapting to Real World Scenarios 

10:00-11:30 Oral paper presentation (6 presentations, 15 minutes each)

11:30-12:00 Invited talk - Song Han (MIT), Efficient Deep Learning Computing with Sparsity

12:00-12:30 Invited talk - Oncel Tuzel (Apple), Generative AI for data efficient machine learning

12:30-13:00 Invited talk - Kate Saenko (Boston University), CLIP for Less: Efficient Training and Adaptation of Foundational Models

13:00-14:00 Lunch break

14:00-15:00 Poster session by paper submission

15:00-16:00 Oral paper presentation (4 presentations, 15 minutes each)

16:00-16:30 Invited talk - David Tafur (MLCommons) & Sanghyun Son (SNU), Mobile Super Resolution: MLPerf App - Benchmarking and Challenges

16:30-17:00 Invited talk - Judy Hoffman (Georgia Tech), Increasing Efficiency by Reducing Redundancy

17:00-18:00 Panel discussion 

18:00-18:05 Closing remarks