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Chuan Tang

2 accepted papers

2025

Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity

NeurIPS 2025spotlight

Most existing multi-view clustering methods aim to generate a consensus partition across all views, based on the assumption that all views share the same sample arrangement. However, in real-world scenarios, the collected data across different views is often unsynchronized, making it difficult to en…

Cited by 0SourceScholar
2023

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words

CVPR 2023poster

Shape-Text matching is an important task of high-level shape understanding. Current methods mainly represent a 3D shape as multiple 2D rendered views, which obviously can not be understood well due to the structural ambiguity caused by self-occlusion in the limited number of views. To resolve this i…