{"total":23,"rows":[{"id":"2212.05136","title":"CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection","created":"2022-12-09","cited_by_count":67,"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":"2306.14451","title":"Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection","created":"2023-06-26","cited_by_count":43,"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":"2311.15367","title":"BatchNorm-based Weakly Supervised Video Anomaly Detection","created":"2023-11-26","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":"2510.22693","title":"VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree","created":"2025-10-26","cited_by_count":18,"area":null},{"id":"2305.18797","title":"Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space","created":"2023-05-30","cited_by_count":12,"area":null},{"id":"2412.20455","title":"Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection","created":"2024-12-29","cited_by_count":10,"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":"2501.07496","title":"Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection Method","created":"2025-01-13","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":"2405.05130","title":"Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2505.13123","title":"Just Dance with $\\pi$! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection","created":"2025-05-19","cited_by_count":3,"area":null},{"id":"2506.13095","title":"Learning Event Completeness for Weakly Supervised Video Anomaly Detection","created":"2025-06-16","cited_by_count":3,"area":null},{"id":"2603.00550","title":"Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning","created":"2026-02-28","cited_by_count":3,"area":null},{"id":"2409.11223","title":"Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection","created":"2024-09-17","cited_by_count":2,"area":null},{"id":"2406.07841","title":"Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention Model","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2510.13630","title":"AVAR-Net: A Lightweight Audio-Visual Anomaly Recognition Framework with a Benchmark Dataset","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2602.10549","title":"Enhancing Weakly Supervised Multimodal Video Anomaly Detection through Text Guidance","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2511.07276","title":"RobustA: Robust Anomaly Detection in Multimodal Data","created":"2025-11-10","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}