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20232026
most citedDeep Multiview Clustering by Contrasting Cluster Assignments

129 citations · 257 across the 26 of their papers we have counts for

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17 papers · 1 filter

cs.CV2026

Robust Multi-view Clustering against Imperfect Information

Zhichao Huang, Haochen Zhou, Hao Wang +2

Real-world multi-view data always suffer from imperfect information problem, where the view-specific observations are absent (i.e., Incomplete Views, IV) and cross-view corresponde…

cs.CV2026

Robust Fuzzy Multi-view Learning under View Conflict

Siyuan Duan, Yuan Sun, Dezhong Peng +3

Trusted multi-view classification aims to deliver reliable fusion for accurate predictions and has recently attracted substantial attention in both academia and industry. However,…

cs.CV2026

Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data

Jie Chen, Yuanbiao Gou, Chuanbin Liu +2

The high-dimensional features extracted from large-scale unlabeled data via various pretrained models with diverse architectures are referred to as heterogeneous multiview data. Mo…

cs.CV2026

Attention Transfer Is Not Universally Effective for Vision Transformers

Huaiyuan Qin, Muli Yang, Gabriel James Goenawan +4

A recent work shows that Attention Transfer, which transfers only the attention patterns from a pre-trained teacher Vision Transformer (ViT) to a randomly initialized standard stud…

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.CV2024

DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering

Ruohong Yang, Peng Hu, Xi Peng +2

Fine-grained clustering is a practical yet challenging task, whose essence lies in capturing the subtle differences between instances of different classes. Such subtle differences…