Hanqiu Deng

According to our database, Hanqiu Deng authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

CoRR, 2024

Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection.

Zhaoxiang Zhang, Hanqiu Deng, Jinan Bao, Xingyu Li

CoRR, 2024

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination.

Yifei Lin, Hanqiu Deng, Xingyu Li

CoRR, 2024

Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization.

Hanqiu Deng, Xingyu Li

CoRR, 2024

BMAD: Benchmarks for Medical Anomaly Detection.

Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization.

Hanqiu Deng, Zhaoxiang Zhang, Jinan Bao, Xingyu Li

CoRR, 2023

Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection.

Hanqiu Deng, Zhaoxiang Zhang, Shihao Zou, Xingyu Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis.

Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners.

Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Yu Qiao, Peng Gao, Hongsheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Collaboration of Pre-trained Models Makes Better Few-shot Learner.

Renrui Zhang, Hanqiu Deng, Bohao Li, Wei Zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao

CoRR, 2022

Self-supervised Anomaly Detection with Random-shape Pseudo-outliers.

Hanqiu Deng, Xingyu Li

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Anomaly Detection via Reverse Distillation from One-Class Embedding.

Hanqiu Deng, Xingyu Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review.

Hanqiu Deng, Xingyu Li

Frontiers Artif. Intell., 2021