Egocentric Perception for Human-World Understanding 2025
This seminar explores the rapidly evolving field of egocentric perception, focusing on how first-person vision systems and optional on-body sensors enhance human-world understanding. The objective of this seminar is to provide students with an in-depth understanding of current research in egocentric perception, emphasizing its applications in computer vision and robotics. By analyzing and presenting cutting-edge publications, students will improve their ability to critically assess complex methodologies, synthesize findings, and articulate scientific contributions. The seminar also aims to foster collaborative discussions, helping participants refine their communication and analytical skills in a peer-supported environment. The seminar will delve into topics such as human-object interaction, scene understanding, activity recognition, and multimodal data fusion from egocentric perspectives. Participants will investigate how first-person vision systems capture the nuances of human behavior and interaction with the environment, with implications for robotics, augmented reality, and AI. In each session participants will present selected papers, followed by a group discussion led by the presenter, encouraging a comprehensive exploration of the topic. As a student in this class you are expected to read and present selected papers, participant in discussions and provide feedback to your peers.
Overview
- Seminar
- 263-5909-00L Egocentric Perception for Human-World Understanding
- Lecturers
- Christian Holz and Dominik Hollidt
- Communication
- Please address all questions (on content, organization, etc.) on Moodle
link to Egocentric Perception Moodle 2025 - Lecture
-
ETH lecture room CAB D 46.
Tuesdays, 4pm–6pm
first seminar: 18.02.2025
last seminar: 27.05.2025 - Credits
- 2 ECTS
- Materials
- slides, assignments, and recordings