19 citations · 31 across the 6 of their papers we have counts for
6 papers
AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
Yi Zhang, Jiawen Zhu, Lele Fu +1
Benefiting from generalizability of vision-language models (VLMs) such as CLIP, many zero-/few-shot anomaly detection (AD) approaches have achieved impressive detection performance…
Hyper-Laplacian Regularized Concept Factorization in Low-rank Tensor Space for Multi-view Clustering
Zixiao Yu, Lele Fu, Zhiling Cai +1
Tensor-oriented multi-view subspace clustering has achieved significant strides in assessing high-order correlations and improving clustering analysis of multi-view data. Neverthel…
Multi-View Clustering from the Perspective of Mutual Information
Fu Lele, Zhang Lei, Wang Tong +3
Exploring the complementary information of multi-view data to improve clustering effects is a crucial issue in multi-view clustering. In this paper, we propose a novel model based…
Multi-view Graph Convolutional Networks with Differentiable Node Selection
Zhaoliang Chen, Lele Fu, Shunxin Xiao +3
Multi-view data containing complementary and consensus information can facilitate representation learning by exploiting the intact integration of multi-view features. Because most…
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao +3
In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view da…
Subspace-Contrastive Multi-View Clustering
Fu Lele, Zhang Lei, Yang Jinghua +3
Most multi-view clustering methods are limited by shallow models without sound nonlinear information perception capability, or fail to effectively exploit complementary information…