{"total":41,"rows":[{"id":"2311.07042","title":"Open-Vocabulary Video Anomaly Detection","created":"2023-11-13","cited_by_count":57,"area":null},{"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":"2404.08531","title":"Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection","created":"2024-04-12","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":"2307.12545","title":"Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model","created":"2023-07-24","cited_by_count":25,"area":null},{"id":"2403.07532","title":"Open-World Semantic Segmentation Including Class Similarity","created":"2024-03-12","cited_by_count":24,"area":null},{"id":"2405.19387","title":"Video Anomaly Detection in 10 Years: A Survey and Outlook","created":"2024-05-29","cited_by_count":18,"area":null},{"id":"2503.04504","title":"AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM","created":"2025-03-06","cited_by_count":15,"area":null},{"id":"2503.18094","title":"Anomize: Better Open Vocabulary Video Anomaly Detection","created":"2025-03-23","cited_by_count":13,"area":null},{"id":"2503.22405","title":"Modeling Multiple Normal Action Representations for Error Detection in Procedural Tasks","created":"2025-03-28","cited_by_count":12,"area":null},{"id":"2404.07887","title":"Context-aware Video Anomaly Detection in Long-Term Datasets","created":"2024-04-11","cited_by_count":11,"area":null},{"id":"2411.14565","title":"Privacy-Preserving Video Anomaly Detection: A Survey","created":"2024-11-21","cited_by_count":11,"area":null},{"id":"2311.16514","title":"Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach","created":"2023-11-27","cited_by_count":10,"area":null},{"id":"2502.05503","title":"A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction","created":"2025-02-08","cited_by_count":10,"area":null},{"id":"2503.03562","title":"Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection","created":"2025-03-05","cited_by_count":10,"area":null},{"id":"2507.17394","title":"HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs","created":"2025-07-23","cited_by_count":9,"area":null},{"id":"2409.16225","title":"VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection","created":"2024-09-24","cited_by_count":8,"area":null},{"id":"2501.09733","title":"ComplexVAD: Detecting Interaction Anomalies in Video","created":"2025-01-16","cited_by_count":8,"area":null},{"id":"2507.15905","title":"Foundation Models and Transformers for Anomaly Detection: A Survey","created":"2025-07-21","cited_by_count":8,"area":null},{"id":"2602.19248","title":"No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection","created":"2026-02-22","cited_by_count":8,"area":null},{"id":"2403.06154","title":"GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection","created":"2024-03-10","cited_by_count":7,"area":null},{"id":"2504.04495","title":"AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection","created":"2025-04-06","cited_by_count":7,"area":null},{"id":"2401.13551","title":"Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection","created":"2024-01-24","cited_by_count":5,"area":null},{"id":"2405.19779","title":"Automatic Graph Topology-Aware Transformer","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2506.23282","title":"Autoregressive Denoising Score Matching is a Good Video Anomaly Detector","created":"2025-06-29","cited_by_count":4,"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":"2601.08155","title":"Instance-Aligned Captions for Explainable Video Anomaly Detection","created":"2026-01-13","cited_by_count":4,"area":null},{"id":"2310.02894","title":"Human-centric Behavior Description in Videos: New Benchmark and Model","created":"2023-10-04","cited_by_count":3,"area":null},{"id":"2409.17608","title":"Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2501.08470","title":"Detecting Contextual Anomalies by Discovering Consistent Spatial Regions","created":"2025-01-14","cited_by_count":3,"area":null},{"id":"2507.01397","title":"Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps","created":"2025-07-02","cited_by_count":3,"area":null},{"id":"2506.02535","title":"Video Anomaly Detection with Semantics-Aware Information Bottleneck","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2410.24075","title":"Identifying Spatio-Temporal Drivers of Extreme Events","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2504.00161","title":"SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2305.07328","title":"Enhance Multi-Scale Spatial-Temporal Coherence for Configurable Video Anomaly Detection","created":"2023-05-12","cited_by_count":0,"area":null},{"id":"2312.04119","title":"A brief introduction to a framework named Multilevel Guidance-Exploration Network","created":"2023-12-07","cited_by_count":0,"area":null},{"id":"2403.19111","title":"Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection","created":"2024-03-28","cited_by_count":0,"area":null},{"id":"2501.06224","title":"Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT","created":"2025-01-07","cited_by_count":0,"area":null},{"id":"2601.18135","title":"Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2605.08651","title":"Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2608.21854","title":"Look Inside Each Video: Rethinking How Video Anomaly Detection Is Evaluated","created":"2026-08-22","cited_by_count":0,"area":null}],"next_cursor":null}