{"total":19,"rows":[{"id":"2402.04857","title":"Advancing Video Anomaly Detection: A Concise Review and a New Dataset","created":"2024-02-07","cited_by_count":49,"area":null},{"id":"2409.05383","title":"Deep Learning for Video Anomaly Detection: A Review","created":"2024-09-09","cited_by_count":27,"area":null},{"id":"2406.15395","title":"An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction","created":"2024-04-29","cited_by_count":19,"area":null},{"id":"2303.13505","title":"A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition","created":"2023-03-23","cited_by_count":14,"area":null},{"id":"2404.18747","title":"Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment","created":"2024-04-29","cited_by_count":7,"area":null},{"id":"2406.02976","title":"DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection","created":"2024-06-05","cited_by_count":7,"area":null},{"id":"2408.14329","title":"Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark","created":"2024-08-26","cited_by_count":6,"area":null},{"id":"2408.15185","title":"Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer","created":"2024-08-27","cited_by_count":6,"area":null},{"id":"2502.05432","title":"MoFM: A Large-Scale Human Motion Foundation Model","created":"2025-02-08","cited_by_count":5,"area":null},{"id":"2507.21649","title":"The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM","created":"2025-07-29","cited_by_count":4,"area":null},{"id":"2508.14203","title":"A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment","created":"2025-08-19","cited_by_count":4,"area":null},{"id":"2409.03236","title":"Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection","created":"2024-09-05","cited_by_count":3,"area":null},{"id":"2508.09058","title":"ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds","created":"2025-08-12","cited_by_count":3,"area":null},{"id":"2603.04723","title":"From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail Security","created":"2026-03-05","cited_by_count":3,"area":null},{"id":"2309.15662","title":"Human Kinematics-inspired Skeleton-based Video Anomaly Detection","created":"2023-09-27","cited_by_count":1,"area":null},{"id":"2310.05330","title":"A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2509.11058","title":"Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection","created":"2025-09-14","cited_by_count":1,"area":null},{"id":"2604.09327","title":"From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection","created":"2026-04-10","cited_by_count":1,"area":null},{"id":"2608.05069","title":"VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection","created":"2026-08-05","cited_by_count":0,"area":null}],"next_cursor":null}