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DTSTART;TZID=America/New_York:20240612T133000
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DTSTAMP:20260604T163101
CREATED:20240604T183759Z
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UID:11577-1718199000-1718202600@seasevents.nmsdev7.com
SUMMARY:GRASP Seminar: Angela Dai\, Technical University of Munich\, “From Understanding to Interacting with the 3D World”
DESCRIPTION:*This seminar will be held in-person in Levine 307 as well as virtually via Zoom.  \nABSTRACT\nUnderstanding the 3D structure of real-world environments is a fundamental challenge in machine perception\, critical for applications spanning robotic navigation\, content creation\, and mixed reality scenarios. In recent years\, machine learning has undergone rapid advancements; however\, in the 3D domain\, such data-driven learning is often very challenging under limited 3D/4D data availability. In this talk\, we first explore learning 3D priors from data capture and annotation for supervision\, leveraging synthetic data as a strong 3D prior for reconstruction and semantic understanding of 3D scenes observed from commodity RGB and RGB-D sensors. As synthetic priors can be limited in diversity\, we then discuss real-world 3D data alternatives\, followed by relaxing 3D supervision constraints to weakly supervised formulations for such object-based reconstruction and 3D semantic scene understanding. Finally\, as real-world scenes are often dynamic\, we characterize 3D interactions and propose to distill knowledge from other data modalities to enable zero-shot 3D interaction synthesis. These 3D learning strategies promise to usher in a new paradigm of generalized 3D perception\, beyond the limits of existing 3D datasets\, to enable in-the-wild 3D analysis of environments.
URL:https://seasevents.nmsdev7.com/event/grasp-seminar-angela-dai-technical-university-of-munich-from-understanding-to-interacting-with-the-3d-world/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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