DeepView'21 @ AVSS
Program
Program Schedule
November 16th, Virtually (Pacific Time Zone, UTC+09:00)
🌐 DeepView@AVSS'21 Virtual is now live HERE.
13:00 Opening Remarks
13:15 Invited Talk 1: Video Analytics of Human Behavior for Combatting Pandemic in Crowded Space
Hanseok Ko (Professor of Electrical and Computer Engineering @ Korea University)
14:00 Invited Talk 2: Long-form Video Understanding
Mike Shou (Assistant Professor @ National University of Singapore)
14:45 Invited Talk 3: ROAD: The ROad event Awareness Dataset for autonomous Driving
Fabio Cuzzolin (Professor @ Oxford Brookes University)
15:30 Invited Talk 4: Trustworthy Data Analytics for Safety-Critical Systems
Ming Jin (Research Scientist @ UC Berkeley)
16:15 Break
16:30 Oral 1: On the Performance of Crowd-Specific Detectors in Multi-Pedestrian Tracking
Daniel Stadler* (Karlsruhe Institute of Technology) and Jürgen Beyerer (Fraunhofer IOSB)
16:45 Oral 2: Object Detection Considering Anchor Shape And Image Deblurring Method for Real-World Applications
Sungjin Cho*, Soyeol Lee (Korea University) Jinho Yoo (Sogang University), Seung-Jin Baek and Sung-Jea Ko (Korea University)
17:00 Oral 3: Multi-Pedestrian Tracking with Clusters
Daniel Stadler* (Karlsruhe Institute of Technology) and Jürgen Beyerer (Fraunhofer IOSB)
17:15 DeepView'21 Challenge: Introduction and Results Announcement
17:30 Oral 4: Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
Younkwan Lee*, Jihyo Jeon, Yeongmin Ko, Byung-Gwan Jeon and Moongu Jeon (GIST)
17:45 Oral 5: Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
Jongmin Yu* and Hyeontaek Oh (KAIST)
18:00 Closing Remarks
18:10 End
📢 [Note] This workshop program is tentative and subject to change. The person marked with '*' will provide an oral presentation for the workshop.