1 citations · 1 across the 6 of their papers we have counts for
6 papers
CLUENet: Cluster Attention Makes Neural Networks Have Eyes
Xiangshuai Song, Jun-Jie Huang, Tianrui Liu +2
Despite the success of convolution- and attention-based models in vision tasks, their rigid receptive fields and complex architectures limit their ability to model irregular spatia…
MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
Jian Zhu, Xin Zou, Jun Sun +7
In recent years, the advancement of Graph Neural Networks (GNNs) has significantly propelled progress in Multi-View Clustering (MVC). However, existing methods face the problem of…
Generative Diffusion Contrastive Network for Multi-View Clustering
Jian Zhu, Xin Zou, Xi Wang +3
In recent years, Multi-View Clustering (MVC) has been significantly advanced under the influence of deep learning. By integrating heterogeneous data from multiple views, MVC enhanc…
Trusted Mamba Contrastive Network for Multi-View Clustering
Jian Zhu, Xin Zou, Lei Liu +4
Multi-view clustering can partition data samples into their categories by learning a consensus representation in an unsupervised way and has received more and more attention in rec…
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Xin Zou, Yizhou Wang, Yibo Yan +8
Despite their impressive capabilities, multimodal large language models (MLLMs) are prone to hallucinations, i.e., the generated content that is nonsensical or unfaithful to input…
Central Similarity Multi-View Hashing for Multimedia Retrieval
Jian Zhu, Wen Cheng, Yu Cui +4
Hash representation learning of multi-view heterogeneous data is the key to improving the accuracy of multimedia retrieval. However, existing methods utilize local similarity and f…