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Hanqiu Deng
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2020 – today
- 2024
- [i8]Hanqiu Deng, Xingyu Li:
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization. CoRR abs/2402.17091 (2024) - [i7]Yifei Lin, Hanqiu Deng, Xingyu Li:
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination. CoRR abs/2404.08750 (2024) - [i6]Zhaoxiang Zhang, Hanqiu Deng, Jinan Bao, Xingyu Li:
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection. CoRR abs/2405.04782 (2024) - 2023
- [c5]Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Yu Qiao, Peng Gao, Hongsheng Li
:
Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners. CVPR 2023: 15211-15222 - [c4]Zhaoxiang Zhang
, Hanqiu Deng
, Xingyu Li
:
Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis. SASHIMI@MICCAI 2023: 86-96 - [c3]Hanqiu Deng, Zhaoxiang Zhang, Shihao Zou, Xingyu Li:
Bi-directional Frame Interpolation for Unsupervised Video Anomaly Detection. WACV 2023: 2633-2642 - [i5]Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Hongsheng Li, Yu Qiao, Peng Gao:
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners. CoRR abs/2303.02151 (2023) - [i4]Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, Xingyu Li:
BMAD: Benchmarks for Medical Anomaly Detection. CoRR abs/2306.11876 (2023) - [i3]Hanqiu Deng, Zhaoxiang Zhang, Jinan Bao, Xingyu Li:
AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization. CoRR abs/2308.15939 (2023) - 2022
- [c2]Hanqiu Deng, Xingyu Li:
Anomaly Detection via Reverse Distillation from One-Class Embedding. CVPR 2022: 9727-9736 - [c1]Hanqiu Deng, Xingyu Li:
Self-supervised Anomaly Detection with Random-shape Pseudo-outliers. EMBC 2022: 4768-4772 - [i2]Hanqiu Deng, Xingyu Li:
Anomaly Detection via Reverse Distillation from One-Class Embedding. CoRR abs/2201.10703 (2022) - [i1]Renrui Zhang, Hanqiu Deng, Bohao Li, Wei Zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao:
Collaboration of Pre-trained Models Makes Better Few-shot Learner. CoRR abs/2209.12255 (2022) - 2021
- [j1]Hanqiu Deng, Xingyu Li:
AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review. Frontiers Artif. Intell. 4: 612914 (2021)
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