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Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification
Zhigang Chang, Shibao Zheng
Vehicle re-identification (Vehicle ReID) aims at retrieving vehicle images across disjoint surveillance camera views. The majority of vehicle ReID research is heavily reliant upon…
Hierarchical Semantic Perceptual Listener Head Video Generation: A High-performance Pipeline
Zhigang Chang, Weitai Hu, Qing Yang +1
In dyadic speaker-listener interactions, the listener's head reactions along with the speaker's head movements, constitute an important non-verbal semantic expression together. The…
Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification
Zhigang Chang, Zhao Yang, Yongbiao Chen +2
ideo-based person re-identification (Re-ID) aims to match person images in video sequences captured by disjoint surveillance cameras. Traditional video-based person Re-ID methods f…
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
Yongbiao Chen, Sheng Zhang, Fangxin Liu +3
Deep hamming hashing has gained growing popularity in approximate nearest neighbour search for large-scale image retrieval. Until now, the deep hashing for the image retrieval comm…
Distribution Context Aware Loss for Person Re-identification
Zhigang Chang, Qin Zhou, Mingyang Yu +3
To learn the optimal similarity function between probe and gallery images in Person re-identification, effective deep metric learning methods have been extensively explored to obta…