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UID:66@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20240718T113000
DTEND;TZID=Asia/Kolkata:20240718T123000
DTSTAMP:20240716T045953Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-18th-july-scene-understa
 nding-for-safe-and-autonomous-navigation/
SUMMARY:{Seminar} @ CDS: #102 : 18th July: "Scene Understanding for Safe an
 d Autonomous Navigation"
DESCRIPTION:We welcome you to CDS-KIAC talk on 18 July 2024 (Thursday). The
  details are as below:\n\n\n\nSpeaker: Prof. Amit K. Roy-Chowdhury\, Unive
 rsity of California\nTitle:Scene Understanding for Safe and Autonomous Nav
 igation\nDate and Time: July 18\, 2024\, 11:30 AM\nVenue: #102\, CDS Semin
 ar Hall.\n\n\n\nAbstract:\nAutonomous navigation remains one of the most c
 hallenging problems in intelligent systems largely because of the close in
 tegration of scene understanding and planning that needs to happen. The sc
 ene understanding requires analysis of objects and their collections acros
 s various scale\, from individual people and their actions to wide-area an
 alysis that could span the interactions of these people with many other ob
 jects in the scene. An integrated view that is able to span across these r
 anges of scale is necessary for robust decision making. In this talk\, we 
 will consider a variety of scene understanding problems that need to be so
 lved for autonomous navigation to be successful. At the level of individua
 l people\, we will show how to estimate the pose of each individual person
  under challenging real-life conditions like significant occlusions. At th
 e next higher scale when there are interactions among small groups of indi
 viduals and objects\, we will demonstrate the power of scene graphs to mod
 el the semantics of the scene. At a yet higher level\, we will show how to
  track objects across non-overlapping cameras spread over large areas. Rob
 ustness to a variety of operational domains will be considered through all
  of these tasks. In spite of this\, it is unlikely that perfect scene unde
 rstanding will be achieved and any autonomous agent will need to occasiona
 lly interact with human experts\; we show how this can be achieved with na
 tural language feedback leveraging upon the power of recently developed vi
 sion-language models.\n\nBio of Speaker:\nAmit Roy-Chowdhury received his 
 PhD from the University of Maryland\, College Park (UMCP) in 2002 and join
 ed the University of California\, Riverside (UCR) in 2004 where he is a Pr
 ofessor and Bourns Family Faculty Fellow of Electrical and Computer Engine
 ering\, Cooperating Faculty in Computer Science and Engineering\, and Dire
 ctor of the Center for Robotics and Intelligent Systems. He leads the Vide
 o Computing Group at UCR\, working on foundational principles of computer 
 vision\, image processing\, and machine learning\, with applications in cy
 ber-physical\, autonomous and intelligent systems. He has published over 2
 00 papers in peer-reviewed journals and conferences. He has published two 
 monographs: Camera Networks: The Acquisition and Analysis of Videos Over W
 ide Areas and Person Re-identification with Limited Supervision. He is on 
 the editorial boards of major journals and program committees of the main 
 conferences in his area. He is a Fellow of the IEEE and IAPR\, received th
 e Doctoral Dissertation Advising/Mentoring Award from UCR\, and the ECE Di
 stinguished Alumni Award from UMCP.\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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