[Theory] TODAY: [Talks at TTIC] 2/10 TTIC Colloquium: Katerina Fragkiadaki​, CMU

[Brandie Jones via Theory]

*When:*        Monday, February 10th at *11:30am CT*

*Where:       *Talk will be given *live, in-person* at

                       TTIC, 6045 S. Kenwood Avenue

                       5th Floor, Room 530


*Virtually:*  via Panopto (livestream
<https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=714aa30f-f7d1-4d95-b972-b22001091ce7>
)


*Who: *         Katerina Fragkiadaki, CMU

*Title:*          Developing and Learning World Simulators
*Abstract:  *In this talk, we will present our ongoing work on learning
neural 3D scene representations from images and videos and their
applications in vision-language understanding, 4D video completion, and
robotic manipulation. Additionally, we will discuss our efforts in
developing faster and more general explicit physics engines and integrating
them with generative models of language and vision. This integration aims
to automate the replication of physical environments within the physics
engine, enabling more accurate and scalable world simulation.

*Short Bio*: Katerina Fragkiadaki is the JPMorgan Chase Associate Professor
in the Machine
Learning Department in Carnegie Mellon University. She received her
undergraduate diploma from Electrical and Computer Engineering in the
National Technical University of Athens.
She received her Ph.D. from University of Pennsylvania and was a
postdoctoral fellow in
UC Berkeley and Google research after that.  Her work focuses on combining
forms of common sense reasoning, such as spatial understanding and 3D scene
understanding, with deep visuomotor learning.  The goal of her work is to
enable few-shot learning and continual learning for perception, action and
language grounding.  Her  group develops methods for computer vision for
mobile agents, 2D and 3D visual parsing, 2D-to-3D perception,
 vision-language grounding,  learning of object dynamics, navigation and
manipulation policies. Pioneering innovations of her group’s research
include 2D-to-3D geometry-aware neural networks for 3D understanding from
2D video streams,   analogy-forming networks for memory-augmented few-shot
visual parsing, and language-grounding in 2D and 3D scenes with bottom-up
and top-down attention.  Her work has been awarded with a best Ph.D. thesis
award,  an NSF CAREER award, AFOSR Young Investigator award, a DARPA Young
Investigator award, Google, TRI, Amazon, NVIDIA, UPMC and Sony faculty
research awards. She was a program chair for ICLR 2024.

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


--
*Brandie Jones *
*Executive **Administrative Assistant*
Toyota Technological Institute
6045 S. Kenwood Avenue
Chicago, IL  60637
www.ttic.edu
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