Booz Allen Hamilton Colloquium: "Weakly Supervised Learning from Video"

Friday, April 23, 2021
3:30 p.m.-4:30 p.m.
Online
Kara Stamets
301 405 4471
stametsk@umd.edu

Title: Weakly Supervised Learning from Video

RSVP: go.umd.edu/amit

Abstract: There has been tremendous progress in computer vision over the last decade, and research ideas are making their way into various products. However, major challenges remain if computer vision is to make a meaningful impact in a variety of societal needs, e.g., autonomous driving, environmental monitoring, medical applications, etc. These challenges relate to the lack of training data in many applications, and the scalability of existing algorithms to the needs of the applications. In this talk, we will discuss two such inter-related challenges:

(i) how to learn from limited and weak supervision, and

(ii) the ability to handle large multi-sensor, multi-modal data volumes.

We will briefly review some of our work in this regard, discuss their strengths and limitations, and future research directions. Specific focus will be on visual recognition, tracking in non-overlapping camera networks, and retrieval from multimodal datasets.

Biography: Amit Roy-Chowdhury received his PhD from the University of Maryland, College Park (UMCP) in Electrical and Computer Engineering 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, Director of the Center for Robotics and Intelligent Systems, and Cooperating Faculty in the department of Computer Science and Engineering. He is the Director of the new DoD Center of Excellence, NC4 (Networked Configurable Computing, Communications and Control for Rapid Situational Awareness). He leads the Video Computing Group at UCR, working on foundational principles of computer vision, image processing, and statistical learning, with applications in cyber-physical, autonomous and intelligent systems. He has published about 200 papers in peer-reviewed journals and conferences. Prof. Roy-Chowdhury's research has been supported by various US Federal and State agencies and private industries, including the NSF, DoD, Google, and CISCO. He is the first author of the book Camera Networks: The Acquisition and Analysis of Videos Over Wide Areas. Some of his work has been featured widely in the news media, including a PBS/National Geographic documentary and in The Economist. He is a Senior Associate Editor of the IEEE Trans. on Image Processing, an Associate Editor of the IEEE Trans. on Pattern Analysis and Machine Intelligence, been an Area Chair of multiple computer vision conferences, and on the program committees of many conferences. His students have been first authors on multiple papers that received Best Paper Awards at major international conferences, including ICASSP and ICMR. He is a Fellow of the IEEE and IAPR, received the Doctoral Dissertation Advising/Mentoring Award 2019 from UCR, and the ECE Distinguished Alumni Award from UMCP.

Audience: Clark School  Graduate  Undergraduate  Faculty  Staff  Post-Docs  Alumni 

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