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cs.CV2026
Multi-turn Physics-informed Vision-language Model for Physics-grounded Anomaly Detection
Yao Gu, Xiaohao Xu, Yingna Wu
Vision-Language Models (VLMs) demonstrate strong general-purpose reasoning but remain limited in physics-grounded anomaly detection, where causal understanding of dynamics is essen…
cs.CV2025
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection
Wenqiao Li, Yao Gu, Xintao Chen +4
Humans detect real-world object anomalies by perceiving, interacting, and reasoning based on object-conditioned physical knowledge. The long-term goal of Industrial Anomaly Detecti…
cs.CV2023★ 1 cited
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
Wenqiao Li, Xiaohao Xu, Yao Gu +3
Recently, 3D anomaly detection, a crucial problem involving fine-grained geometry discrimination, is getting more attention. However, the lack of abundant real 3D anomaly data limi…