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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VigilFormer: Deformable Attention for Video Anomaly Detection with Causal Risk Inference
May 31, 2026Xinze ZhangTransformer Attention Deformable Attention
University of Southern California, Los Angeles, CA 90007, USA
Training-Free Object-Agnostic Jam Detection in Fulfillment Centers
May 29, 2026Ruiliang Liu, Tina Dongxu Li, Joshua Migdal +3Industrial Anomaly Detection Video Anomaly Detection
Amazon, USA
An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?
May 25, 2026Sangeeta ., Maddikuntla Sai Prajwal, Debi Prosad Dogra +4Multimodal Anomaly Detection Video Anomaly Detection
Indian Institute of Technology Bhubaneswar Bhubaneswar, Odisha 752050, India · Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology Seoul 02792, Republic of Korea · Yonsei-KIST Convergence Research Institute, Yonsei University Seoul 03722, Republic of Korea
FoodMonitor: Benchmarking MLLMs for Explainable Compliance Analysis
May 23, 2026Ruihao Xu, Xingming Shui, Jingxuan Niu +4VLM Evaluation Video Anomaly Detection
Tsinghua Shenzhen International Graduate School, Tsinghua University
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
May 22, 2026Hyeongmuk Lim, Youngbum HurInterpretable Anomaly Detection VLM Reasoning
Department of Industrial Engineering, Inha University, Incheon, Republic of Korea
Bounding-Box Trajectories Matter for Video Anomaly Detection
May 21, 2026Inpyo Song, Jangwon LeeVideo Anomaly Detection
Sungkyunkwan University, Seoul, Republic of Korea
TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
May 20, 2026Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4VLM Evaluation Automated Software Testing
University of Alberta · Sony Interactive Entertainment
COPRA: Conditional Parameter Adaptation with Reinforcement Learning for Video Anomaly Detection
May 14, 2026Darryl Cherian Jacob, Xinyu Liu, Kai Wang +1VLM Adaptation Video Anomaly Detection
Auburn University · Tencent Hunyuan
LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection
May 14, 2026Mitchell Piehl, Muchao YeInterpretable Anomaly Detection VLM Reasoning
The University of Iowa, Iowa City IA 52245, USA
Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models
May 12, 2026Furkan Mumcu, Michael J. Jones, Anoop Cherian +1Large Vision-Language Models Anomaly Localization
University of South Florida · Mitsubishi Electric Research Laboratories (MERL)
CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
May 12, 2026Jiyuan Wang, Huan Ouyang, Jiuzhou Lin +15Temporal Video Grounding Multimodal Reward Modeling
BJTU · NTU · BUPT +1
MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection
May 11, 2026Xiran Zhao, Jing Jin, Yan Bai +6Multi-View Learning Industrial Anomaly Detection
ShanghaiTech University · Tsinghua University · Meituan Inc. +1
Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
May 9, 2026Lei Wang, Wenxiang Diao, Andrew Busch +2Privacy-Preserving ML Video Anomaly Detection
School of Engineering and Built Environment, Griffith University · Data61/CSIRO · School of Computer Science and Engineering, University of New South Wales +1
SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
May 8, 2026Chao Huang, Pengfei Wei, Wei Wang +5Video Anomaly Detection Zero-Shot Anomaly Detection
Shenzhen Campus of Sun Yat-sen University · Harbin Institute of Technology, Shenzhen
Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference
Apr 26, 2026Xiaowei Mao, Bowen Sui, Weijie Zhang +7Efficient VLM Inference Anomaly Localization
School of Computer Science and Technology, Beijing Jiaotong University · 2Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education · 3Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence
Understanding Human Actions through the Lens of Executable Models
Apr 20, 2026Rimvydas Rubavicius, Manisha Dubey, N. Siddharth +1Temporal Action Segmentation Human Activity Recognition
School of Informatics The University of Edinburgh
Zero-Shot Retail Theft Detection via Orchestrated Vision Models: A Model-Agnostic, Cost-Effective Alternative to Trained Single-Model Systems
Apr 16, 2026Haileab YagersewVideo Anomaly Detection Zero-Shot Anomaly Detection
Paza AI Addis Ababa, Ethiopia
RefGlitch-Bench: A Benchmark for Reference-based Gameplay Glitch Detection with Vision-Language Models
Apr 13, 2026Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4VLM Evaluation Video Anomaly Detection
University of Alberta · Sony Interactive Entertainment
From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection
Apr 10, 2026Narges Rashvand, Shanle Yao, Armin Danesh Pazho +2Video Anomaly Detection Temporal Action Detection
University of North Carolina at Charlotte, Charlotte, NC, USA
Open-Ended Video Game Glitch Detection with Agentic Reasoning and Temporal Grounding
Apr 9, 2026Muyang Zheng, Tong Zhou, Geyang Wu +3Video Anomaly Detection Temporal Video Grounding
University of California, Davis Davis, California, USA · Virginia Polytechnic Institute and State University Blacksburg, Virginia, USA
ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions
Apr 9, 2026Zihao Liu, Xiaoyu Wu, Wenna Li +2Video Anomaly Detection Anomaly Localization
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China
Reasoning-Guided Grounding: Elevating Video Anomaly Detection through Multimodal Large Language Models
Apr 7, 2026Sakshi Agarwal, Aishik Konwer, Ankit Parag ShahVideo Anomaly Detection Interpretable Anomaly Detection
Center of Advanced AI, Accenture.
A Modular Zero-Shot Pipeline for Accident Detection, Localization, and Classification in Traffic Surveillance Video
Apr 5, 2026Amey Thakur, Sarvesh TaleleVideo Anomaly Detection
Independent Researcher, Toronto, Canada · Independent Researcher, Mumbai, India
QVAD: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection
Apr 3, 2026Lokman Bekit, Hamza Karim, Nghia T Nguyen +1Video Anomaly Detection Zero-Shot Anomaly Detection
Department of Electrical Engineering, University of South Florida, Tampa, Florida, USA.
VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space
Apr 1, 2026Jihao Lyu, Minghua Zhao, Jing Hu +3Video Anomaly Detection Anomaly Detection
Shaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China.
Only Whats Necessary: Pareto Optimal Data Minimization for Privacy Preserving Video Anomaly Detection
Mar 27, 2026Nazia Aslam, Abhisek Ray, Thomas B. Moeslund +1Privacy-Preserving ML Privacy-Utility Tradeoff
Aalborg University, Denmark · Aarhus University, Denmark · Milestone System, Denmark
GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame Grids
Mar 26, 2026Mohamed Eltahir, Ahmed O. Ibrahim, Obada Siralkhatim +2Video Anomaly Detection Zero-Shot Anomaly Detection
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia · African Institute for Mathematical Sciences (AIMS), Cape Town, South Africa · Independent Researcher +1
Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
Mar 26, 2026Peng Wu, Yuting Yan, Guansong Pang +4Event-Based Vision Video Anomaly Detection
School of Computer Science, Northwestern Polytechnical University, China · School of Computing and Information Systems, Singapore Management University, Singapore · School of Artificial Intelligence, Xidian University, China
MLE-UVAD: Minimal Latent Entropy Autoencoder for Fully Unsupervised Video Anomaly Detection
Mar 25, 2026Yuang Geng, Junkai Zhou, Kang Yang +5Video Anomaly Detection Reconstruction-Based Anomaly Detection
Learning Cross-Joint Attention for Generalizable Video-Based Seizure Detection
Mar 24, 2026Omar Zamzam, Takfarinas Medani, Chinmay Chinara +1Attention Mechanisms Video Anomaly Detection
Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles, CA 90089

May 31, 2026J/K move · Enter open · S save

VigilFormer: Deformable Attention for Video Anomaly Detection with Causal Risk Inference

Xinze Zhang

University of Southern California, Los Angeles, CA 90007, USA

Transformer Attention Deformable Attention Video Anomaly Detection Weakly Supervised Video Anomaly Detection Video Surveillance

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Video anomaly detection in surveillance settings must balance detection accuracy against real-time throughput, a tension that existing methods address either through stronger feature extractors or more efficient architectures, but rarely both. We present VigilFormer, a unified framework that combines deformable spatio-temporal attention with causal temporal modeling to detect anomalies in untrimmed surveillance video. The proposed Deformable Spatio-Temporal Encoder (DSTE) attends to a sparse set of informative locations across frames, avoiding the quadratic cost of dense attention while retaining the ability to capture irregular motion patterns. A Causal Anomaly Classifier (CAC) applies dilated causal convolutions over snippet-level features and optimizes a contrastive multiple-instance learning objective that separates anomalous and normal representations without frame-level labels. To meet deployment constraints, an Adaptive Confidence Scheduler (ACS) dynamically skips low-information frames at inference time, reducing redundant computation in static scenes. Evaluated on UCF-Crime, ShanghaiTech, and CUHK Avenue, VigilFormer achieves AUC scores of 87.83%, 97.21%, and 89.74% respectively, at 41.5 FPS on a single GPU, outperforming recent weakly-supervised methods in both accuracy and speed.