{"total":82,"rows":[{"id":"2111.09099","title":"Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection","created":"2021-11-17","cited_by_count":119,"area":null},{"id":"2111.08644","title":"UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection","created":"2021-11-16","cited_by_count":93,"area":null},{"id":"2211.10946","title":"Normalizing Flows for Human Pose Anomaly Detection","created":"2022-11-20","cited_by_count":60,"area":null},{"id":"2302.05087","title":"Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models","created":"2023-02-10","cited_by_count":59,"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":"2305.13611","title":"A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation","created":"2023-05-23","cited_by_count":42,"area":null},{"id":"2306.12041","title":"Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors","created":"2023-06-21","cited_by_count":37,"area":null},{"id":"2209.12148","title":"Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection","created":"2022-09-25","cited_by_count":34,"area":null},{"id":"2110.09742","title":"Learning Not to Reconstruct Anomalies","created":"2021-10-19","cited_by_count":31,"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":"2110.09768","title":"Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection","created":"2021-10-19","cited_by_count":26,"area":null},{"id":"2211.00882","title":"DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network","created":"2022-11-02","cited_by_count":26,"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":"2403.14497","title":"MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection","created":"2024-03-21","cited_by_count":22,"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":"2212.07010","title":"Cross-Domain Video Anomaly Detection without Target Domain Adaptation","created":"2022-12-14","cited_by_count":20,"area":null},{"id":"2212.07900","title":"EVAL: Explainable Video Anomaly Localization","created":"2022-12-15","cited_by_count":19,"area":null},{"id":"2503.12905","title":"UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks","created":"2025-03-17","cited_by_count":19,"area":null},{"id":"2209.02899","title":"Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection","created":"2022-09-07","cited_by_count":18,"area":null},{"id":"2212.09258","title":"CHAD: Charlotte Anomaly Dataset","created":"2022-12-19","cited_by_count":18,"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":"2111.07839","title":"Learnable Locality-Sensitive Hashing for Video Anomaly Detection","created":"2021-11-15","cited_by_count":17,"area":null},{"id":"2106.08613","title":"FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation","created":"2021-06-16","cited_by_count":15,"area":null},{"id":"2412.13845","title":"Do Language Models Understand Time?","created":"2024-12-18","cited_by_count":14,"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":"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":"2103.01739","title":"Image/Video Deep Anomaly Detection: A Survey","created":"2021-03-02","cited_by_count":10,"area":null},{"id":"2308.07050","title":"Survey on video anomaly detection in dynamic scenes with moving cameras","created":"2023-08-14","cited_by_count":10,"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":"2204.03141","title":"Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems","created":"2022-04-07","cited_by_count":9,"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":"2303.10704","title":"PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies","created":"2023-03-19","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":"2506.05175","title":"Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline","created":"2025-06-05","cited_by_count":8,"area":null},{"id":"2107.14206","title":"Using Visual Anomaly Detection for Task Execution Monitoring","created":"2021-07-29","cited_by_count":7,"area":null},{"id":"2108.08996","title":"Weakly-supervised Joint Anomaly Detection and Classification","created":"2021-08-20","cited_by_count":7,"area":null},{"id":"2111.01604","title":"A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods","created":"2021-11-02","cited_by_count":7,"area":null},{"id":"2302.06670","title":"Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos","created":"2023-02-13","cited_by_count":7,"area":null},{"id":"2506.18368","title":"Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection","created":"2025-06-23","cited_by_count":7,"area":null},{"id":"2103.11299","title":"A Modular and Unified Framework for Detecting and Localizing Video Anomalies","created":"2021-03-21","cited_by_count":6,"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":"2108.00246","title":"HR-Crime: Human-Related Anomaly Detection in Surveillance Videos","created":"2021-07-31","cited_by_count":5,"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":"2103.10502","title":"Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies","created":"2021-03-18","cited_by_count":4,"area":null},{"id":"2207.13430","title":"Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2301.07923","title":"Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection","created":"2023-01-19","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":"2203.03872","title":"Visual anomaly detection in video by variational autoencoder","created":"2022-03-08","cited_by_count":3,"area":null},{"id":"2210.15741","title":"Spatio-temporal predictive tasks for abnormal event detection in videos","created":"2022-10-27","cited_by_count":3,"area":null},{"id":"2404.15033","title":"IPAD: Industrial Process Anomaly Detection Dataset","created":"2024-04-23","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":"2505.19022","title":"Rethinking Metrics and Benchmarks of Video Anomaly Detection","created":"2025-05-25","cited_by_count":3,"area":null},{"id":"2104.14430","title":"Discriminative-Generative Dual Memory Video Anomaly Detection","created":"2021-04-29","cited_by_count":2,"area":null},{"id":"2112.05410","title":"Multimedia Datasets for Anomaly Detection: A Review","created":"2021-12-10","cited_by_count":2,"area":null},{"id":"2203.03677","title":"Object-centric and memory-guided normality reconstruction for video anomaly detection","created":"2022-03-07","cited_by_count":2,"area":null},{"id":"2506.01466","title":"Towards Scalable Video Anomaly Retrieval: A Synthetic Video-Text Benchmark","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2509.13181","title":"Road Obstacle Video Segmentation","created":"2025-09-16","cited_by_count":2,"area":null},{"id":"2511.00524","title":"Text-guided Fine-Grained Video Anomaly Understanding","created":"2025-11-01","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":"2407.06000","title":"Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified","created":"2024-07-08","cited_by_count":1,"area":null},{"id":"2408.05562","title":"What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon","created":"2024-08-10","cited_by_count":1,"area":null},{"id":"2410.00477","title":"ViDAS: Vision-based Danger Assessment and Scoring","created":"2024-10-01","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":"2602.08882","title":"Designing Multi-Robot Ground Video Sensemaking with Public Safety Professionals","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.13306","title":"Benchmarking Compact VLMs for Clip-Level Surveillance Anomaly Detection Under Weak Supervision","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2605.12725","title":"Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2608.11985","title":"Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias","created":"2026-08-12","cited_by_count":1,"area":null},{"id":"2210.09572","title":"Spatio-Temporal-based Context Fusion for Video Anomaly Detection","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2303.02052","title":"Interruptions detection in video conferences","created":"2023-02-25","cited_by_count":0,"area":null},{"id":"2309.03401","title":"Reasonable Anomaly Detection in Long Sequences","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2410.03904","title":"Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection","created":"2024-10-04","cited_by_count":0,"area":null},{"id":"2410.19642","title":"VARS: Vision-based Assessment of Risk in Security Systems","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2503.19588","title":"Video Anomaly Detection with Contours -- A Study","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2504.14753","title":"Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task Approaches","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2507.15492","title":"An aerial color image anomaly dataset for search missions in complex forested terrain","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2605.24503","title":"FoodMonitor: Benchmarking MLLMs for Explainable Compliance Analysis","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2605.25806","title":"An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.29498","title":"Learning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection","created":"2026-06-28","cited_by_count":0,"area":null},{"id":"2606.31875","title":"SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2609.17843","title":"RoboVAD: A Large Cross-Domain Evaluation Benchmark for Anomaly Detection in Robotic Arm Manipulation Videos","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}