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DTSTART;TZID=America/New_York:20240612T110000
DTEND;TZID=America/New_York:20240612T120000
DTSTAMP:20260403T153908
CREATED:20240528T133737Z
LAST-MODIFIED:20240528T133737Z
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SUMMARY:Community for Rigor Public Talk and Live Podcast Recording: "Rigor in Plain English"
DESCRIPTION:You’ve probably seen reports about reproducibility issues and science gone wrong due to lack of rigor. But what does it mean to do rigorous scientific research? If the word conjures up images of stiffness\, strictness\, and difficulty\, the Community for Rigor is here to help! Join us for Rigor in Plain English\, a live podcast recording event on June 12\, at the University of Pennsylvania. This event is free and open to the public. Our speakers will share their views on scientific rigor\, explain why it’s crucial to your research and science in general\, and share how you can be part of a growing global movement striving for better science!\nCommunity for Rigor is an NIH-funded initiative making educational materials to help scientists learn the principles and practice of research rigor.
URL:https://seasevents.nmsdev7.com/event/community-for-rigor-public-talk-and-live-podcast-recording-rigor-in-plain-english/
LOCATION:Tedori Family Auditorium\, Levin Building\, 425 S University Ave\, Philadelphia\, PA\, United States
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DTSTART;TZID=America/New_York:20240612T110000
DTEND;TZID=America/New_York:20240612T120000
DTSTAMP:20260403T153908
CREATED:20240604T183531Z
LAST-MODIFIED:20240604T183531Z
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SUMMARY:GRASP Seminar: Matthias Nießner\, Technical University of Munich\, “Photo-realistic AI Avatars”
DESCRIPTION:*This seminar will be held in-person in Levine 307 as well as virtually via Zoom.  \nABSTRACT\nIn this keynote\, I will talk about our latest research on creating photo-realistic AI Avatars. Here\, our main goal is to create virtual characters that can are visually indistinguishable from photos and videos of real people. Further\, we aim to control such avatars with multi-modal control signals such as animation rigs\, text\, or voice in order to replicate real-world conversations and leverage our avatars for 3D content creation. Ultimately\, we aim to witness the evolution of photos and videos into interactive\, holographic 3D content that is indistinguishable from the physical reality. To this end\, we focus on the possibility of capturing and sharing 3D photos with friends\, family\, or through social media platforms. Imagine the ability to comprehensively document historical events along with the participating people for future generations\, or to generate content for upcoming applications in augmented and virtual reality.
URL:https://seasevents.nmsdev7.com/event/grasp-seminar-matthias-niesner-technical-university-of-munich-photo-realistic-ai-avatars/
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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DTSTART;TZID=America/New_York:20240612T133000
DTEND;TZID=America/New_York:20240612T143000
DTSTAMP:20260403T153908
CREATED:20240604T183759Z
LAST-MODIFIED:20240604T183759Z
UID:10007981-1718199000-1718202600@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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