82 citations · 234 across the 31 of their papers we have counts for
4 papers · 1 filter
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance
Congqi Cao, Xin Zhang, Shizhou Zhang +2
Weakly supervised video anomaly detection (WSVAD) is a challenging task since only video-level labels are available for training. In previous studies, the discriminative power of t…
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion
Bingliang Jiao, Lingqiao Liu, Liying Gao +5
In the current person Re-identification (ReID) methods, most domain generalization works focus on dealing with style differences between domains while largely ignoring unpredictabl…
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Yinghui Xing, Qirui Wu, De Cheng +4
With the emergence of large pre-trained vison-language model like CLIP, transferable representations can be adapted to a wide range of downstream tasks via prompt tuning. Prompt tu…
Adaptive Graph Convolutional Networks for Weakly Supervised Anomaly Detection in Videos
Congqi Cao, Xin Zhang, Shizhou Zhang +2
For weakly supervised anomaly detection, most existing work is limited to the problem of inadequate video representation due to the inability of modeling long-term contextual infor…