Kuan-Chuan Peng

GeoMAD: Geometry-Aware Multi-View Anomaly Detection via Deformable Fusion and Distributional Alignment

Multi-view anomaly detection (MvAD) detects defects by exploiting complementary observations from multiple camera viewpoints. The central challenge is to fuse views with sufficient geometric awareness while remaining scalable to multi-class industrial settings. Existing methods typically fall into two extremes: voxel-b...

LEAP-VLA: Latent-Enhanced Action Prototyping via Continuous Residual Latent Spaces for Vision-Language-Action Models

SoREL: Soft-Label Refurbishment with Ensemble Learning for Noisy Long-Tailed Classification

The proposed Soft-label Refurbishment with Ensemble Learning (SoREL), a two-stage framework that jointly handles label noise and class imbalance, and refurbished soft labels guide multi-expert ensemble learning, where experts specialize in many, medium, and few-shot classes.