Visual Physics @ CVPR 2020

Date: June 19, 2020

Click Here for the Zoom Webinar!


1:00 - 2:00PM (PT)

Opening Panel - literature will be surveyed and papers will be suggested for reading during the break

Bill Freeman, MIT

Achuta Kadambi, UCLA

Laura Waller, Berkeley

Ayan Chakrabarti, WUSTL

Katerina Fragkiadaki, CMU

2:00 - 3:30PM (PT)

Break - selected papers for reading are listed at the bottom of the webpage

3:30 - 4:30PM (PT)

Closing Panel - we will go deeper into literature after folks have had a chance to read, and suggest future trends for the community.


Abstract: The early days of computer vision used "physics-inspired algorithms" to detect contours, edges, faces, and other features. Over the past decade, these structured algorithms have been superseded by deep learning algorithms with superior performance. This tutorial discusses an increasingly popular class of hybrid methods that blend physics and learning. In a unique virtual format, we feature 5 faculty members who provide a joint opening panel and closing panel, with a flipped classroom style reading group in the middle break. A happy hour will conclude the tutorial.

Achuta Kadambi

Achuta Kadambi
Assistant Professor at UCLA

Bill Freeman

Bill Freeman
Thomas and Gerd Perkins Professor at MIT


Laura Waller

Laura Waller
Professor at UC Berkeley

Katerina Fragkiadaki

Katerina Fragkiadaki
Assistant Professor at CMU


Ayan Chakrabarti

Ayan Chakrabarti
Assistant Professor at WUSTL


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Webpage design courtesy of J-F Lalonde and M Gupta