most citedA Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

9 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark

Yunkang Cao, Yuqi Cheng, Xiaohao Xu +6

The practical deployment of Visual Anomaly Detection (VAD) systems is hindered by their sensitivity to real-world imaging variations, particularly the complex interplay between vie…

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.RO2024

TALE-teller: Tendon-Actuated Linked Element Robotic Testbed for Investigating Tail Functions

Margaret J. Zhang, Anvay A. Pradhan, Zachary Brei +6

Tails serve various functions in both robotics and biology, including expression, grasping, and defense. The vertebrate tails associated with these functions exhibit diverse patter…

cs.CV20243 cited

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Huaxin Zhang, Xiaohao Xu, Xiang Wang +6

Towards open-ended Video Anomaly Detection (VAD), existing methods often exhibit biased detection when faced with challenging or unseen events and lack interpretability. To address…

cs.CV2024

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

Xiaohao Xu, Tianyi Zhang, Sibo Wang +6

Embodied agents require robust navigation systems to operate in unstructured environments, making the robustness of Simultaneous Localization and Mapping (SLAM) models critical to…

cs.CV20242 cited

GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection

Huaxin Zhang, Xiang Wang, Xiaohao Xu +6

In recent years, video anomaly detection has been extensively investigated in both unsupervised and weakly supervised settings to alleviate costly temporal labeling. Despite signif…