DISSERTATION DEFENSE
Title: Motion and Activity Understanding in 360 Videos: An Egocentric Perspective
Presenter: Keshav Bhandari
Advisor: Dr. Yan Yan
Date: Wednesday, June 29, 2022
Time: 2:00 - 3:30
ZOOM:
LIVE: COMAL 212
Abstract:
Activity recognition is one of the popular fields in computer vision research. Though recent development in deep learning-based methodologies has shown tremendous progress in traditional video-based activity recognition, 360-degree activity recognition is still in its infancy. 360-degree-based activity recognition imposes challenges like lack of datasets, domain-specific frameworks, and motion understanding in 360-degree videos. This research focuses on two critical aspects of activity recognition in 360-degree videos from an egocentric perspective, (i) Egocentric activity recognition and (ii) Motion understanding in 360-degree videos. We will discuss several challenges in these areas and propose a representation learning-based framework for activity recognition and motion understanding in 360-degree videos. |
Deadline: June 30, 2022, midnight