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DTSTART;TZID=Europe/Berlin:20260120T100000
DTEND;TZID=Europe/Berlin:20260120T110000
DTSTAMP:20260428T230137
CREATED:20251028T133808Z
LAST-MODIFIED:20251218T143415Z
UID:27253-1768903200-1768906800@www.scienceofintelligence.de
SUMMARY:Vladislav Golyanik (MPI for Informatics)\, "Egocentric 4D Vision with Conventional and Event Cameras"
DESCRIPTION:4D computer vision using egocentric visual sensors on head-mounted devices (such as Aria glasses) is gaining momentum. While substantial progress has been made in recent years\, various open challenges remain in the field\, including robust 3D human and hand pose estimation from egocentric cameras\, optimal egocentric camera placement\, real-time processing\, and fulfilling ergonomic and power consumption constraints of mobile devices. This talk will focus on several projects on egocentric 4D vision conducted by and with contributions from the 4D and Quantum Vision (4DQV) research group (MPI for Informatics). We will investigate how modern computer graphics rendering tools can be leveraged for synthetic training data generation\, and discuss\, among other points\, the increasing role of event cameras in egocentric vision. The talk will also provide an overview of other ongoing research directions at 4DQV. \nBio:\nVladislav Golyanik is a senior researcher leading the “4D and Quantum Vision” research group at the Visual Computing and Artificial Intelligence (VCAI) Department of MPI for Informatics. He is also a lecturer at Saarland University. Vladislav’s primary research interests include 3D reconstruction and neural rendering of deformable scenes\, 4D generative models and quantum-enhanced computer vision (QeCV). He received a doctoral degree in Computer Science from the University of Kaiserslautern in 2019.
URL:https://www.scienceofintelligence.de/event/vladislav-golyanik-mpi-for-informatics-egocentric-4d-vision-with-conventional-and-event-cameras/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Guest Lecture
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DTSTART;TZID=Europe/Berlin:20251128T100000
DTEND;TZID=Europe/Berlin:20251128T230000
DTSTAMP:20260428T230137
CREATED:20251020T132426Z
LAST-MODIFIED:20251020T132551Z
UID:27147-1764324000-1764370800@www.scienceofintelligence.de
SUMMARY:Benjamin Alt (Universität Bremen)\, "Hybrid AI for Safe Embodied Intelligence"
DESCRIPTION:Enabling robots to perform complex manipulation tasks in open-world environments requires approaches to intelligence that bridge the traditional divide between symbolic and subsymbolic systems. Hybrid systems that combine reasoning over symbolic knowledge with probabilistically approximately correct inference over probability distributions promise to make robot manipulation actions generalizable\, interpretable\, and scalable to address real-world challenges. This talk explores how hybrid AI systems can enable robots to become not just capable agents\, but also safe colleagues and companions for humans. \nBenjamin Alt is Technical Director at the AICOR Lab at University of Bremen. He is collaborating with RBO in the Robotics Institute Germany (RIG) Technical Committee (TC) called Manipulate Anything\, Anywhere\, Anytime (MA3). \nThis talk is a collaboration between the Robotics and Biology Laboratory (RBO)\, the Robotics Institute Germany (RIG) and Science of Intelligence.
URL:https://www.scienceofintelligence.de/event/benjamin-alt-universitat-bremen-hybrid-ai-for-safe-embodied-intelligence/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Guest Lecture
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