324 citations · 487 across the 9 of their papers we have counts for
10 papers
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Thomas E. Huang, Yifan Liu, Luc Van Gool +1
Performing multiple heterogeneous visual tasks in dynamic scenes is a hallmark of human perception capability. Despite remarkable progress in image and video recognition via repres…
Composite Learning for Robust and Effective Dense Predictions
Menelaos Kanakis, Thomas E. Huang, David Bruggemann +2
Multi-task learning promises better model generalization on a target task by jointly optimizing it with an auxiliary task. However, the current practice requires additional labelin…
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
Tobias Fischer, Thomas E. Huang, Jiangmiao Pang +4
Similarity learning has been recognized as a crucial step for object tracking. However, existing multiple object tracking methods only use sparse ground truth matching as the train…
Tracking Every Thing in the Wild
Siyuan Li, Martin Danelljan, Henghui Ding +2
Current multi-category Multiple Object Tracking (MOT) metrics use class labels to group tracking results for per-class evaluation. Similarly, MOT methods typically only associate o…
Dense Prediction with Attentive Feature Aggregation
Yung-Hsu Yang, Thomas E. Huang, Min Sun +3
Aggregating information from features across different layers is an essential operation for dense prediction models. Despite its limited expressiveness, feature concatenation domin…
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Wonkwang Lee, Whie Jung, Han Zhang +6
Learning to predict the long-term future of video frames is notoriously challenging due to inherent ambiguities in the distant future and dramatic amplifications of prediction erro…