18 citations · 18 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
Ruitao Pu, Yuan Sun, Yang Qin +4
Cross-modal hashing (CMH) has appeared as a popular technique for cross-modal retrieval due to its low storage cost and high computational efficiency in large-scale data. Most exis…
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
Zhongwen Wang, Xingfeng Li, Yinghui Sun +5
In recent years, anchor and hash-based multi-view clustering methods have gained attention for their efficiency and simplicity in handling large-scale data. However, existing metho…