[Colloquium] 2/20 Talks at TTIC: Fisher Yu, UC Berkeley

[Mary Marre via Colloquium]

When:     Wednesday, February 20th at *11:00 am*

Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526

Who:       Fisher Yu, UC Berkeley*T**itle:       *Unified Image
Representations for Semantic, Geometric, and Motion Perception
*Abstract:*
Existing state-of-the-art computer vision models usually specialize in
single domains or tasks. This specialization isolates different vision
tasks and hinders deployment of robust and effective vision systems.  In
this talk, I will discuss unified image representations suitable for
different scales and tasks through the lens of pixel-level prediction.
These connections, built by the study of dilated convolutions and deep
layer aggregation, can interpret convolutional network behaviors and lead
to model frameworks applicable to a wide range of tasks. Beyond scales and
tasks, I will argue that a unified representation should also be dynamic
and predictive. I will illustrate the case with input-dependent dynamic
networks, which lead to new insights into the relationship of
zero-shot/few-shot learning and network pruning, and with semantic
predictive control, which utilizes prediction for better driving policy
learning. To conclude, I will discuss on-going system and algorithm
investigations which couple representation learning and real-world
interaction to build intelligent agents that can continuously learn from
and interact with the world.

*Host:* Greg Shakhnarovich <greg at ttic.edu>



Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 517*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*
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