video anomaly detection

Guess Future Anomalies from Normalcy: Forecasting Abnormal Behavior in Real-World Videos WACV 2025 Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity CVPR 2025 INFP: INdustrial Video Anomaly Detection via Frequency Prioritization IJCAI 2025 Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection CVPR 2025 Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion ICLR 2025 Local Patterns Generalize Better for Novel Anomalies ICLR 2025 MissionGNN: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation WACV 2025 Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection ICCV 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory CVPR 2025 PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation WACV 2025 Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025 Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline CVPR 2025 UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks AAAI 2025 VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs NAACL 2025 VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval AAAI 2025 VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models CVPR 2025 Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model AAAI 2025 A Coarse-To-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection WACV 2024 Advancing Video Anomaly Detection: A Concise Review and a New Dataset NeurIPS 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames IJCAI 2024 Error Detection in Egocentric Procedural Task Videos CVPR 2024 Harnessing Large Language Models for Training-free Video Anomaly Detection CVPR 2024 HAWK: Learning to Understand Open-World Video Anomalies NeurIPS 2024 Holistic Representation Learning for Multitask Trajectory Anomaly Detection WACV 2024