[Colloquium] 2/20 Angel Chang & Manolis Savva (Simon Fraser University) Connecting 3D and Language/ 3D Simulation for Embodied AI: emerging challenges and opportunities

[Holly Santos]

3DL Hosted Guest Talks

Angel Chang
Assistant Professor
Simon Fraser University

Manolis Savva
Assistant Professor
Simon Fraser University

Monday, February 20th
11:00am - 12:30pm
In Person: John Crerar Library 298

Speaker: Angel Chang Title: Connecting 3D and Language

Abstract:
In this talk, I will give an overview of recent work that explores how to endow computational systems with the ability to connect natural language and 3D representations. I will talk about a project that develops a unified model for localizing objects in 3D scenes and describing them using natural language. Then, I will quickly summarize other recent work that explores different tasks requiring connections between natural language and 3D representations.

Bio:
Angel Chang is an Assistant Professor at Simon Fraser University and a Canada CIFAR AI Chair. Her research connects language to visual and 3D representations, and grounds language for embodied agents in indoor environments. She has worked on synthesizing 3D scenes and shapes from natural language, as well as localizing objects in 3D.  Her work has been recognized by awards such as the SGP dataset award for ShapeNet and ScanNet.
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Speaker: Manolis Savva
Title: 3D Simulation for Embodied AI: emerging challenges and opportunities

Abstract:
3D simulators are increasingly being used to develop and evaluate "embodied AI" (agents perceiving and acting in realistic environments).  Much of the prior work in this space has treated simulators as "black boxes" within which learning algorithms are to be deployed.  However, the system characteristics of the simulation platforms themselves and the datasets that are used with these platforms both greatly impact the feasibility and the outcomes of experiments involving simulation.  In this talk, I will describe recent projects that outline emerging challenges and opportunities in the development of 3D simulation for embodied AI.

Bio:
Manolis Savva is an Assistant Professor at Simon Fraser University, and a Canada Research Chair in Computer Graphics.  His research focuses on analysis, organization and generation of 3D content.  Prior to his current position he was a visiting researcher at Facebook AI Research, and a postdoctoral researcher at Princeton University.  He received his Ph.D. from Stanford University under the supervision of Pat Hanrahan.  His work has been recognized through several awards including an ACM UIST notable paper award (ReVision), an ICCV best paper nomination (Habitat), two SGP dataset awards (ShapeNet, SGP 2018; ScanNet, SGP 2020), and the 2022 Graphics Interface early career researcher award.

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Holly Santos
Executive Assistant to Michael J. Franklin, Chairman
Department of Computer Science
The University of Chicago
5730 S Ellis Ave-217   Chicago, IL 60637
P: 773-834-8977
hsantos at uchicago.edu<mailto:hsantos at uchicago.edu>

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