{"total":36,"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":"2309.13925","title":"Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges","created":"2023-09-25","cited_by_count":42,"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":"2505.23504","title":"VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning","created":"2025-05-29","cited_by_count":24,"area":null},{"id":"2405.10347","title":"Networking Systems for Video Anomaly Detection: A Tutorial and Survey","created":"2024-05-16","cited_by_count":21,"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":"2411.14565","title":"Privacy-Preserving Video Anomaly Detection: A Survey","created":"2024-11-21","cited_by_count":11,"area":null},{"id":"2411.17776","title":"Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search","created":"2024-11-26","cited_by_count":11,"area":null},{"id":"2412.07183","title":"Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly","created":"2024-12-10","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":"2503.13160","title":"Language-guided Open-world Video Anomaly Detection under Weak Supervision","created":"2025-03-17","cited_by_count":8,"area":null},{"id":"2411.10945","title":"Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera","created":"2024-11-17","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":"2511.19474","title":"Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks","created":"2025-11-22","cited_by_count":5,"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":"2511.00613","title":"CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World","created":"2025-11-01","cited_by_count":4,"area":null},{"id":"2404.15033","title":"IPAD: Industrial Process Anomaly Detection Dataset","created":"2024-04-23","cited_by_count":3,"area":null},{"id":"2408.13152","title":"Long-term Pre-training for Temporal Action Detection with Transformers","created":"2024-08-23","cited_by_count":3,"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":"2505.19022","title":"Rethinking Metrics and Benchmarks of Video Anomaly Detection","created":"2025-05-25","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":"2310.01904","title":"Beyond the Benchmark: Detecting Diverse Anomalies in Videos","created":"2023-10-03","cited_by_count":1,"area":null},{"id":"2404.03191","title":"CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks","created":"2024-04-04","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":"2601.02927","title":"PrismVAU: Prompt-Refined Inference System for Multimodal Video Anomaly Understanding","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2604.07772","title":"ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions","created":"2026-04-09","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":"2608.05699","title":"TAU-Bench: From Anomaly Instance Tracking to Fine-Grained Video Anomaly Understanding","created":"2026-08-06","cited_by_count":1,"area":null},{"id":"2504.18866","title":"PiercingEye: Dual-Space Video Violence Detection with Hyperbolic Vision-Language Guidance","created":"2025-04-26","cited_by_count":0,"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},{"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},{"id":"2609.07941","title":"ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.31753","title":"Beyond Isolated Entities: Relation-Aware Multi-Entity Modeling for Unsupervised Video Anomaly Detection","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.40014","title":"Can We Anticipate Violence? Multimodal Learning from Pre-Incident Behavioral Cues","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}