We welcome you to CDS-KIAC talk on 18 July 2024 (Thursday). The details are as below:
Speaker: Prof. Amit K. Roy-Chowdhury, University of California
Title:Scene Understanding for Safe and Autonomous Navigation
Date and Time: July 18, 2024, 11:30 AM
Venue: #102, CDS Seminar Hall.
Abstract:
Autonomous navigation remains one of the most challenging problems in intelligent systems largely because of the close integration of scene understanding and planning that needs to happen. The scene understanding requires analysis of objects and their collections across various scale, from individual people and their actions to wide-area analysis that could span the interactions of these people with many other objects in the scene. An integrated view that is able to span across these ranges of scale is necessary for robust decision making. In this talk, we will consider a variety of scene understanding problems that need to be solved for autonomous navigation to be successful. At the level of individual people, we will show how to estimate the pose of each individual person under challenging real-life conditions like significant occlusions. At the next higher scale when there are interactions among small groups of individuals and objects, we will demonstrate the power of scene graphs to model 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. Robustness to a variety of operational domains will be considered through all of these tasks. In spite of this, it is unlikely that perfect scene understanding will be achieved and any autonomous agent will need to occasionally interact with human experts; we show how this can be achieved with natural language feedback leveraging upon the power of recently developed vision-language models.
Bio of Speaker:
Amit Roy-Chowdhury received his PhD from the University of Maryland, College Park (UMCP) in 2002 and joined the University of California, Riverside (UCR) in 2004 where he is a Professor and Bourns Family Faculty Fellow of Electrical and Computer Engineering, Cooperating Faculty in Computer Science and Engineering, and Director of the Center for Robotics and Intelligent Systems. He leads the Video Computing Group at UCR, working on foundational principles of computer vision, image processing, and machine learning, with applications in cyber-physical, autonomous and intelligent systems. He has published over 200 papers in peer-reviewed journals and conferences. He has published two monographs: Camera Networks: The Acquisition and Analysis of Videos Over Wide 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 the Doctoral Dissertation Advising/Mentoring Award from UCR, and the ECE Distinguished Alumni Award from UMCP.
ALL ARE WELCOME
