Date: June 19
Time: 12:45 PM PDT
East Exhibit Hall B
+ Zoom

This workshop will not be recorded

12:45 - 1:00 pm

Angjoo and Sara
[slides]

Opening Remarks

1:00 - 1:20 pm

David Crandall
[slides] 

The Affective Growth of Computer Vision Research

1:20 - 1:40 pm

Georgia Gkioxari 

Apples and Oranges: Research in Academia vs Industry

1:40 - 2:00 pm

Derek Hoiem
[slides]

Adapting to change in the AI revolution

2:00 - 2:30 pm

Panel  1: David Crandall, Georgia Gkioxari, Derek Hoiem, and Björn Ommer

2:30 - 2:50 pm

Jitendra Malik

Explore vs Exploit tradeoffs in research

2:50 - 3:10 pm

Jon Barron
[pdf]

TBD

3:10 - 3:30 pm

Devi Parikh
[pdf] [pptx]

Adapting. Flourishing.

3:30 - 4:00 pm

Panel  2: Jitendra Malik, Jon Barron, Devi Parikh and Sara Beery

4:00 - 4:20 pm

Break

4:20 - 4:40 pm

Alexei A. Efros
[slides]

Engineering AI vs. Science AI 

4:40 - 5:00 pm

Cordelia Schmid
[slides] 

Research without large-scale compute

5:00 - 5:20 pm

Erik Learned-Miller
[pdf] [pptx]

Five Open Problems in Computer Vision (whose solution does not require large models)

5:20 - 5:50 pm

Panel  3: Alyosha Efros, Cordelia Schmid, Erik Learned-Miller and Lana Lazebnik 

5:50 - 6:05 pm

David Forsyth
[pdf] [key]

Closing Remarks