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Zhengwei Chen

2 accepted papers

2025

Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection

NeurIPS 2025poster

3D anomaly detection in point-cloud data is critical for industrial quality control, aiming to identify structural defects with high reliability. However, current memory bank-based methods often suffer from inconsistent feature transformations and limited discriminative capacity, particularly in cap…

Cited by 0SourceScholar
2023

Adaptive Graph Convolutional Subspace Clustering

CVPR 2023poster

Spectral-type subspace clustering algorithms have shown excellent performance in many subspace clustering applications. The existing spectral-type subspace clustering algorithms either focus on designing constraints for the reconstruction coefficient matrix or feature extraction methods for finding…