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Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
In this work, we propose to explore Self- and Cross-Triplet Correlations (SCTC) for HOI detection.
Human-Object Interaction Detection
Knowledge Distillation
+2
Joint Counting, Detection and Re-Identification for Multi-Object Tracking
The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneously.
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets
State-of-the-art multi-object tracking~(MOT) methods follow the tracking-by-detection paradigm, where object trajectories are obtained by associating per-frame outputs of object detectors.
Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes
While people tracking has been greatly improved over the recent years, crowd scenes remain particularly challenging for people tracking due to heavy occlusions, high crowd density, and significant appearance variation.
Video Desnowing and Deraining Based on Matrix Decomposition
The existing snow/rain removal methods often fail for heavy snow/rain and dynamic scene.
