[Colloquium] CS Seminar Feb. 19: Judy Hoffman, UC Berkeley

[Sandra Wallace via Colloquium]

UNIVERSITY OF CHICAGO
DEPARTMENT OF COMPUTER SCIENCE
PRESENTS



Judy Hoffman
University of California, Berkeley


Monday, February 19, 2018 at 2:30 pm 
Ryerson 251


Title:  Adaptive Adversarial Learning for a Diverse Visual World

Abstract:
Automated visual recognition is in increasingly high demand. However, despite tremendous performance improvement in recent years, state-of-the-art deep visual models learned using large-scale benchmark datasets still fail to generalize to the diverse visual world. In this talk I will discuss a general purpose semi-supervised learning algorithm, domain adversarial learning, which facilitates transfer of information between different visual environments and across different semantic tasks thereby enabling recognition models to generalize to previously unseen worlds. I’ll demonstrate applications of this approach to different visual tasks, such as semantic segmentation in driving scenes and transfer between still image object recognition and video action recognition.

 
Bio:
Judy Hoffman is a postdoctoral researcher at UC Berkeley. Her research lies at the intersection of computer vision and machine learning with a specific focus on semi-supervised learning algorithms for domain adaptation and transfer learning. She received a PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016. She is the recipient of the NSF Graduate Research Fellowship, the Rosalie M. Stern Fellowship, and the Arthur M. Hopkin award for seriousness of purpose and high academic achievement. She is also a founder of the WiCV workshop (women in computer vision) co-located at CVPR annually.

Host:  Risi Kondor

Refreshments served after the talk in Ry. 255

Link to PDF:  https://www.cs.uchicago.edu/sites/cs/files/uploads/seminar_announcements/Hoffmanposter.pdf <https://www.cs.uchicago.edu/sites/cs/files/uploads/seminar_announcements/Hoffmanposter.pdf>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.cs.uchicago.edu/pipermail/colloquium/attachments/20180207/f7e406b4/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: PastedGraphic-2.png
Type: image/png
Size: 21465 bytes
Desc: not available
URL: <http://mailman.cs.uchicago.edu/pipermail/colloquium/attachments/20180207/f7e406b4/attachment-0001.png>