activity
20222025
most citedRobust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification

18 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval

Likang Peng, Chao Su, Wenyuan Wu +4

Cross-modal hashing (CMH) facilitates efficient retrieval across different modalities (e.g., image and text) by encoding data into compact binary representations. While recent meth…

cs.LG2025

Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks

Xuyang Wang, Siyuan Duan, Qizhi Li +3

Trustworthy multi-view learning has attracted extensive attention because evidence learning can provide reliable uncertainty estimation to enhance the credibility of multi-view pre…

cs.CV2025★ 18 cited

Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification

Yongxiang Li, Yuan Sun, Yang Qin +3

Unsupervised visible-infrared person re-identification (UVI-ReID) aims to retrieve pedestrian images across different modalities without costly annotations, but faces challenges du…

cs.CV2023★ 7 cited

Cross-modal Active Complementary Learning with Self-refining Correspondence

Yang Qin, Yuan Sun, Dezhong Peng +3

Recently, image-text matching has attracted more and more attention from academia and industry, which is fundamental to understanding the latent correspondence across visual and te…

cs.LG2023★ 4 cited

Image Clustering with External Guidance

Yunfan Li, Peng Hu, Dezhong Peng +3

The core of clustering is incorporating prior knowledge to construct supervision signals. From classic k-means based on data compactness to recent contrastive clustering guided by…

cs.CR2022★ 1 cited

A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends

Yao Zhao, Youyang Qu, Yong Xiang +3

Recent advances in edge computing~(EC) have pushed cloud-based data caching services to edge, however, such emerging edge storage comes with numerous challenging and unique securit…