Video Anomaly Detection

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14 papers in the last four weeks, down 7% on the four weeks before. 0.1% of all new papers.

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  1. How Far Can VLMs Go for Visual Bug Detection? Studying 19,738 Keyframes from 41 Hours of Gameplay Videos

    Mar 24, 2026Wentao Lu, Alexander Senchenko, Alan Sayle +2VLM EvaluationVideo Anomaly Detection

    University of Alberta Edmonton, Alberta, Canada · Electronic Arts Vancouver, British Columbia, Canada · Electronic Arts Guildford, Surrey, United Kingdom

  2. Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection

    Mar 23, 2026Yang Liu, Boan Chen, Yuanyuan Meng +5Video Anomaly DetectionInterpretable Anomaly Detection

    Tongji Univ. · SJTU · Shanghai Creative Studies Institute +4

  3. Decoupled Sensitivity-Consistency Learning for Weakly Supervised Video Anomaly Detection

    Mar 20, 2026Hantao Zheng, Ning Han, Yawen Zeng +1Video Anomaly DetectionWeakly Supervised Video Anomaly Detection

    School of Computer Science, Hunan University, China · School of Computer Science, Xiangtan University, China

  4. TAU-R1: Visual Language Model for Traffic Anomaly Understanding

    Mar 19, 2026Yuqiang Lin, Kehua Chen, Sam Lockyer +12Anomaly DetectionVideo Anomaly Detection

    University of Bath, BA2 7AY, United Kingdom · University of Washington, WA 98105, USA · City of Carmel, Indiana, USA +1

  5. VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events

    Mar 18, 2026Mohammad Qazim Bhat, Yufan Huang, Niket Agarwal +7VLMs for Autonomous DrivingVision-Language Models

    NVIDIA, California, USA

  6. Multi-turn Physics-informed Vision-language Model for Physics-grounded Anomaly Detection

    Mar 16, 2026Yao Gu, Xiaohao Xu, Yingna WuVideo Anomaly DetectionAnomaly Detection

    Shanghaitech University · University of Michigan, Ann Arbor

  7. Geometry-Aware Semantic Reasoning for Training Free Video Anomaly Detection

    Mar 10, 2026Ali Zia, Usman Ali, Muhammad Umer Ramzan +3Video Anomaly DetectionMultimodal Anomaly Detection

    School of Computing, Engineering & Mathematical Sciences, La Trobe University, Melbourne, Australia · School of Engineering and Applied Sciences, GIFT University, Gujranwala 52250, Pakistan

  8. Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild

    Mar 5, 2026Shanle Yao, Armin Danesh Pazho, Narges Rashvand +1Video Anomaly DetectionZero-Shot Anomaly Detection

    Electrical and Computer Engineering Department, University of North Carolina at Charlotte, Charlotte, USA

  9. From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail Security

    Mar 5, 2026Shanle Yao, Narges Rashvand, Armin Danesh Pazho +1Video Anomaly DetectionAnomaly Detection

    The authors are with the Electrical and Computer Engineering Department, The University of North Carolina at Charlotte, Charlotte, NC, 28223 USA.

  10. Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning

    Feb 28, 2026Yu Wang, Shengjie ZhaoVideo Anomaly DetectionWeakly Supervised Video Anomaly Detection

    School of Computer Science and Technology, Tongji University, Shanghai, China

  11. Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection

    Feb 27, 2026Zhaolin Cai, Fan Li, Huiyu Duan +2Video Anomaly DetectionMultimodal Anomaly Detection

    Xinjiang University · Xi’an Jiao Tong University · Shanghai Jiao Tong University +1

  12. No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection

    Feb 22, 2026Zunkai Dai, Ke Li, Jiajia Liu +2Video Anomaly DetectionZero-Shot Anomaly Detection

    Beijing University of Posts and Telecommunications · Northwestern Polytechnical University

  13. Cross Pseudo Labeling For Weakly Supervised Video Anomaly Detection

    Feb 19, 2026Dayeon Lee, Donghyeong Kim, Chaewon Park +2Video Anomaly DetectionWeakly Supervised Video Anomaly Detection

    Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea · Samsung Electronics, Suwon, Korea

  14. PA-VAD: Diffusion-Based Pseudo-Only Video Anomaly Detection via Domain-Aligned Memory Updates

    Dec 7, 2025Satoshi Hashimoto, Yanan Wang, Hitoshi Nishimura +1Video Anomaly DetectionSynthetic Anomaly Generation

    KDDI Research, Inc., Fujimino, Saitama, Japan

  15. Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks

    Nov 22, 2025Jie Li, Hongyi Cai, Mingkang Dong +4Synthetic Benchmark GenerationVideo Anomaly Detection

    Shanghai Jiao Tong University · University of Science & Technology Beijing · Universiti Malaya +2

  16. Short-Window Sliding Learning for Real-Time Violence Detection via LLM-based Auto-Labeling

    Nov 14, 2025Seoik Jung, Taekyung Song, Yangro Lee +1Video Anomaly DetectionVideo Surveillance

    PIA-SPACE Inc.

  17. Uncertainty-Weighted Fusion of Image and Synthetic Event for Video Anomaly Detection

    May 5, 2025Sungheon Jeong, Jihong Park, Mohsen ImaniUncertainty-Aware Multimodal FusionMultimodal Anomaly Detection

    University of California, Irvine · MOLOCO

  18. Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection

    Dec 4, 2024Xiaofeng Tan, Xin Geng, Liang Wang +1Video Anomaly DetectionReconstruction-Based Anomaly Detection

    School of Computer Science and Engineering, Southeast University, Nanjing 211189, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China · New Laboratory of Pattern Recognition (NLPR), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA) +1