3 papers
cs.CV2026
SAMOFT: Robust Multi-Object Tracking via Region and Flow
Yanchao Wang, Dawei Zhang, Chengzhuan Yang +5
Multi-object tracking (MOT) is a fundamental task in computer vision that requires continuously tracking multiple targets while maintaining consistent identities across frames. How…
cs.CV2025
PD-SORT: Occlusion-Robust Multi-Object Tracking Using Pseudo-Depth Cues
Yanchao Wang, Dawei Zhang, Run Li +2
Multi-object tracking (MOT) is a rising topic in video processing technologies and has important application value in consumer electronics. Currently, tracking-by-detection (TBD) i…
cs.CV2025
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
Chang Wan, Ke Fan, Xinwei Sun +4
This paper introduces a promising alternative method for training Generative Adversarial Networks (GANs) on large-scale datasets with clear theoretical guarantees. GANs are typical…