DeepView'21 @ AVSS

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.