📝 Publications
* means equal contribution.
2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection,
Haoyang He*, Yuhu Bai*, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie
arxiv. The first Mamba model for multi-class anomaly detection. [Paper] | [Code] | [Project]
DiAD: A Diffusion-Based Framework for Multi-Class Anomaly Detection,
Haoyang He*, Jiangning Zhang*, Hongxu Chen, Xuhai Chen, Zhishan Li, Xu Chen, Yabiao Wang, Chengjie Wang, Lei Xie
(AAAI). 2024. The first Diffusion model for multi-class anomaly detection. [Paper] | [Code] | [Project]
2023
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection,
Jiangning Zhang*, Haoyang He*, Xuhai Chen, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu
arxiv. [Paper] | [Code]
Clip-ad: A language-guided staged dual-path model for zero-shot anomaly detection,
Xuhai Chen, Jiangning Zhang, Guanzhong Tian, Haoyang He, Wuhao Zhang, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Yong Liu
arxiv. [Paper] | [Code]
Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS,
Haoyang He, Zhishan Li, Guanzhong Tian, Hongxu Chen, Lei Xie, Shan Lu, Hongye Su
PRL. [Paper]
