"video anomaly detection" Papers
18 papers found
Conference
Aligning Effective Tokens with Video Anomaly in Large Language Models
YINGXIAN Chen, Jiahui Liu, Ruidi Fan et al.
ICCV 2025arXiv:2508.06350
1
citations
Anomize: Better Open Vocabulary Video Anomaly Detection
Fei Li, Wenxuan Liu, Jingjing Chen et al.
CVPR 2025arXiv:2503.18094
5
citations
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
Dongheng Lin, Mengxue Qu, Kunyang Han et al.
NEURIPS 2025oralarXiv:2511.00962
1
citations
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
Menghao Zhang, Huazheng Wang, Pengfei Ren et al.
NEURIPS 2025
Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
Hongsong Wang, Andi Xu, Pinle Ding et al.
AAAI 2025paperarXiv:2412.17210
6
citations
FrameShield: Adversarially Robust Video Anomaly Detection
Mojtaba Nafez, Mobina Poulaei, Nikan Vasei et al.
NEURIPS 2025oralarXiv:2510.21532
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection
Junxi Chen, Liang Li, Yunbin Tu et al.
NEURIPS 2025
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding, Lei Wang, Liyun Zhu et al.
ICLR 2025arXiv:2410.01506
17
citations
Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory
Han Hu, Wenli Du, Peng Liao et al.
CVPR 2025
4
citations
PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer
Zhiwei Yang, Chen Gao, Mike Zheng Shou
NEURIPS 2025arXiv:2509.26386
1
citations
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
Yuanbin Qian, Shuhan Ye, Chong Wang et al.
AAAI 2025paperarXiv:2503.12905
12
citations
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
Wenlong Li, Yifei Xu, Yuan Rao et al.
NEURIPS 2025oralarXiv:2510.22693
1
citations
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
Muchao Ye, Weiyang Liu, Pan He
CVPR 2025arXiv:2412.01095
10
citations
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model
Hang Zhou, Jiale Cai, Yuteng Ye et al.
AAAI 2025paperarXiv:2412.09026
15
citations
FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation
Fan Qi, Ruijie Pan, Huaiwen Zhang et al.
ECCV 2024
2
citations
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Yongwei Nie, Hao Huang, Chengjiang Long et al.
ECCV 2024arXiv:2401.13551
6
citations
Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection
Haoyue Shi, Le Wang, Sanping Zhou et al.
ECCV 2024
1
citations
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang et al.
AAAI 2024paperarXiv:2308.11681
163
citations