activity
20232026
most citedHierarchical Mutual Information Analysis: Towards Multi-view Clustering in The Wild

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery

Jiawei Wang, Ming Lei, Yaning Yang +8

Identifying species in biology among tens of thousands of visually similar taxa while discovering unknown species in open-world environments remains a fundamental challenge in biod…

cs.CV2025

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection

Alireza Salehi, Mohammadreza Salehi, Reshad Hosseini +3

Zero-shot anomaly detection and localization aims to learn from source-domain data and generalize to unseen target domains without target-domain samples. Recent CLIP-based methods…

cs.AI20231 cited

Hierarchical Mutual Information Analysis: Towards Multi-view Clustering in The Wild

Jiatai Wang, Zhiwei Xu, Xuewen Yang +1

Multi-view clustering (MVC) can explore common semantics from unsupervised views generated by different sources, and thus has been extensively used in applications of practical com…

cs.CV2023

Towards Generalized Multi-stage Clustering: Multi-view Self-distillation

Jiatai Wang, Zhiwei Xu, Xin Wang +1

Existing multi-stage clustering methods independently learn the salient features from multiple views and then perform the clustering task. Particularly, multi-view clustering (MVC)…

cs.CV2023

Self-supervised Multi-view Clustering in Computer Vision: A Survey

Jiatai Wang, Zhiwei Xu, Xuewen Yang +3

Multi-view clustering (MVC) has had significant implications in cross-modal representation learning and data-driven decision-making in recent years. It accomplishes this by leverag…