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Vision Seminar: Laura Leal-Taixé, "Shifting paradigms in multi-object tracking"

Event Type
Lecture
Sponsor
Svetlana Lazebnik
Virtual
wifi event
Date
Apr 5, 2022   10:00 am  
Views
26
Originating Calendar
Computer Science Speakers Calendar

Zoom: https://illinois.zoom.us/j/86238233298?pwd=Y29EWXRPOWtiZ09DczRYMXJZK3JRUT09

Meeting ID: 862 3823 3298

Password: 684009

 

Title: Shifting paradigms in multi-object tracking

 

Abstract: The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about track initialization, identity, and spatiotemporal trajectories. This problem has been traditionally addressed with the tracking-by-detection paradigm, which proposes to split the problems into two subtasks: detection and data association. In this talk, I will discuss the shift towards more recent learning-based paradigms, most notably, tracking-by-regression, and the rise of a new paradigm: tracking-by-attention. I will focus on the problems in current MOT algorithms and the need to focus on merging the detection and the data association tasks. At the end of the talk, I will show a glimpse of my view of the future of MOT.

 

Bio: Prof. Dr. Laura Leal-Taixé is a tenure-track professor (W2) at the Technical University of Munich, leading the Dynamic Vision and Learning group. Since 2021, she is also a Principal Scientist at Argo AI. She is a recipient of the Sofja Kovalevskaja Award and the Google Faculty Award. Her research interests are dynamic scene understanding, including multi object tracking and video segmentation, and visual localization.

link for robots only