66 citations · 163 across the 9 of their papers we have counts for
9 papers
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Hang Zhou, Junqing Yu, Wei Yang
Learning discriminative features for effectively separating abnormal events from normality is crucial for weakly supervised video anomaly detection (WS-VAD) tasks. Existing approac…
Compact Transformer Tracker with Correlative Masked Modeling
Zikai Song, Run Luo, Junqing Yu +2
Transformer framework has been showing superior performances in visual object tracking for its great strength in information aggregation across the template and search image with t…
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
YuTeng Ye, Hang Zhou, Jiale Cai +6
Occluded person re-identification (ReID) is a challenging problem due to contamination from occluders. Existing approaches address the issue with prior knowledge cues, such as huma…
Transformer Tracking with Cyclic Shifting Window Attention
Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen +1
Transformer architecture has been showing its great strength in visual object tracking, for its effective attention mechanism. Existing transformer-based approaches adopt the pixel…
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Yawei Luo, Ping Liu, Tao Guan +2
We aim at the problem named One-Shot Unsupervised Domain Adaptation. Unlike traditional Unsupervised Domain Adaptation, it assumes that only one unlabeled target sample can be avai…
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation
Yawei Luo, Ping Liu, Tao Guan +2
For unsupervised domain adaptation problems, the strategy of aligning the two domains in latent feature space through adversarial learning has achieved much progress in image class…