Hanqiu Deng - RankMe

20 papers A* 3A 2C 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison. CoRR Xi Jiang, Yue Guo, Jian Li, Yong Liu, Bin-Bin Gao, Hanqiu Deng, Jun Liu, Heng Zhao, Chengjie Wang, Feng Zheng
2025	A	`conf`	AnoCLIP: Text-Guided Zero-shot Anomaly Localization via Self-Supervised Adaptation. ICME Hanqiu Deng, Zhaoxiang Zhang, Jinan Bao, Xingyu Li
2025	A*	`conf`	MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. ICLR Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
2025	C	`conf`	Medical Open Set Recognition via Intra-Class Clustering. CW Hanqiu Deng, Shihao Zou, Xiangyun Liao, Weixin Si
2024	—	`conf`	BMAD: Benchmarks for Medical Anomaly Detection. CVPR Workshops Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li
2024	J	`jnl`	Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection. CoRR Zhaoxiang Zhang, Hanqiu Deng, Jinan Bao, Xingyu Li
2024	J	`jnl`	FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination. CoRR Yifei Lin, Hanqiu Deng, Xingyu Li
2024	J	`jnl`	MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. CoRR Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
2024	J	`jnl`	Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization. CoRR Hanqiu Deng, Xingyu Li
2023	J	`jnl`	AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization. CoRR Hanqiu Deng, Zhaoxiang Zhang, Jinan Bao, Xingyu Li
2023	J	`jnl`	BMAD: Benchmarks for Medical Anomaly Detection. CoRR Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li
2023	A	`conf`	Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection. WACV Hanqiu Deng, Zhaoxiang Zhang, Shihao Zou, Xingyu Li
2023	A*	`conf`	Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners. CVPR Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Yu Qiao, Peng Gao, Hongsheng Li
2023	J	`jnl`	Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners. CoRR Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Hongsheng Li, Yu Qiao, Peng Gao
2023	—	`conf`	Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis. SASHIMI@MICCAI Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li
2022	A*	`conf`	Anomaly Detection via Reverse Distillation from One-Class Embedding. CVPR Hanqiu Deng, Xingyu Li
2022	J	`jnl`	Anomaly Detection via Reverse Distillation from One-Class Embedding. CoRR Hanqiu Deng, Xingyu Li
2022	J	`jnl`	Collaboration of Pre-trained Models Makes Better Few-shot Learner. CoRR Renrui Zhang, Hanqiu Deng, Bohao Li, Wei Zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao
2022	—	`conf`	Self-supervised Anomaly Detection with Random-shape Pseudo-outliers. EMBC Hanqiu Deng, Xingyu Li
2021	J	`jnl`	AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review. Frontiers Artif. Intell. Hanqiu Deng, Xingyu Li