Yunkang Cao

According to our database, Yunkang Cao authored at least 29 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prior Normality Prompt Transformer for Multiclass Industrial Image Anomaly Detection.

Haiming Yao, Yunkang Cao, Wei Luo, Weihang Zhang, Wenyong Yu, Weiming Shen

IEEE Trans. Ind. Informatics, October, 2024

BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image Anomaly Localization.

Yunkang Cao, Xiaohao Xu, Chen Sun, Liang Gao, Weiming Shen

IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Deep Feature Contrasting for Industrial Image Anomaly Segmentation.

Qian Wan, Yunkang Cao, Liang Gao, Xinyu Li, Yiping Gao

IEEE Trans. Instrum. Meas., 2024

Complementary pseudo multimodal feature for point cloud anomaly detection.

Yunkang Cao, Xiaohao Xu, Weiming Shen

Pattern Recognit., 2024

Generative Denoise Distillation: Simple stochastic noises induce efficient knowledge transfer for dense prediction.

Zhaoge Liu, Xiaohao Xu, Yunkang Cao, Weiming Shen

Knowl. Based Syst., 2024

Dual-path Frequency Discriminators for few-shot anomaly detection.

Yuhu Bai, Jiangning Zhang, Zhaofeng Chen, Yuhang Dong, Yunkang Cao, Guanzhong Tian

Knowl. Based Syst., 2024

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling.

Yunkang Cao, Haiming Yao, Wei Luo, Weiming Shen

CoRR, 2024

Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework.

Yuqi Cheng, Yunkang Cao, Guoyang Xie, Zhichao Lu, Weiming Shen

CoRR, 2024

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection.

Haiming Yao, Yunkang Cao, Wei Luo, Weihang Zhang, Wenyong Yu, Weiming Shen

CoRR, 2024

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection.

Haiming Yao, Wei Luo, Yunkang Cao, Yiheng Zhang, Wenyong Yu, Weiming Shen

CoRR, 2024

LogiCode: an LLM-Driven Framework for Logical Anomaly Detection.

Yiheng Zhang, Yunkang Cao, Xiaohao Xu, Weiming Shen

CoRR, 2024

CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework.

Han Sun, Yunkang Cao, Olga Fink

CoRR, 2024

Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning.

Xiaohao Xu, Yunkang Cao, Yongqi Chen, Weiming Shen, Xiaonan Huang

CoRR, 2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang

CoRR, 2024

A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect.

Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen

CoRR, 2024

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection.

Yunkang Cao, Jiangning Zhang, Luca Frittoli, Yuqi Cheng, Weiming Shen, Giacomo Boracchi

Proceedings of the Computer Vision - ECCV 2024, 2024

Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection.

Yiheng Zhang, Yunkang Cao, Tianhang Zhang, Weiming Shen

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection.

Yuqi Cheng, Yunkang Cao, Rui Chen, Weiming Shen

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization.

Yunkang Cao, Xiaohao Xu, Zhaoge Liu, Weiming Shen

IEEE Trans. Ind. Informatics, November, 2023

A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection.

Yuxin Jiang, Yunkang Cao, Weiming Shen

Knowl. Based Syst., November, 2023

Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.

Yunkang Cao, Xiaohao Xu, Chen Sun, Xiaonan Huang, Weiming Shen

CoRR, 2023

Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection.

Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Liang Gao, Weiming Shen

CoRR, 2023

Segment Any Anomaly without Training via Hybrid Prompt Regularization.

Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Zongwei Du, Liang Gao, Weiming Shen

CoRR, 2023

High-Resolution Image Anomaly Detection via Spatiotemporal Consistency Incorporated Knowledge Distillation.

Yunkang Cao, Yiheng Zhang, Weiming Shen

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

GON: End-to-end optimization framework for constraint graph optimization problems.

Chuan Liu, Jingwei Wang, Yunkang Cao, Min Liu, Weiming Shen

Knowl. Based Syst., 2022

Informative knowledge distillation for image anomaly segmentation.

Yunkang Cao, Qian Wan, Weiming Shen, Liang Gao

Knowl. Based Syst., 2022

An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations.

Chuan Liu, Yunkang Cao, Chen Sun, Weiming Shen, Xinyu Li, Liang Gao

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Semi-supervised Knowledge Distillation for Tiny Defect Detection.

Yunkang Cao, Yanan Song, Xiaohao Xu, Shuya Li, Yuhao Yu, Yifeng Zhang, Weiming Shen

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Position Encoding Enhanced Feature Mapping for Image Anomaly Detection.

Qian Wan, Yunkang Cao, Liang Gao, Weiming Shen, Xinyu Li

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022