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Quande Liu
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2020 – today
- 2024
- [i16]Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Man Zhou, Jie Zhang:
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation. CoRR abs/2404.15275 (2024) - [i15]Lin Liu, Quande Liu, Shengju Qian, Yuan Zhou, Wengang Zhou, Houqiang Li, Lingxi Xie, Qi Tian:
Text-Animator: Controllable Visual Text Video Generation. CoRR abs/2406.17777 (2024) - [i14]Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen:
GameGen-X: Interactive Open-world Game Video Generation. CoRR abs/2411.00769 (2024) - 2022
- [j9]Qi Dou
, Tiffany Y. So
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j8]Cheng Chen
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41(3): 621-632 (2022) - [j7]Hongzheng Yang, Cheng Chen
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41(12): 3575-3586 (2022) - [c9]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI 2022: 1756-1764 - [c8]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. ECCV (20) 2022: 275-292 - [c7]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) 2022: 196-206 - [i13]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR abs/2205.13723 (2022) - [i12]Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou:
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR abs/2206.13079 (2022) - [i11]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR abs/2206.14467 (2022) - [i10]Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang:
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. CoRR abs/2207.08455 (2022) - 2021
- [j6]Qi Dou
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [c6]Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) 2021: 433-443 - [c5]Quande Liu, Cheng Chen, Jing Qin
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c4]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. MICCAI (5) 2021: 225-235 - [c3]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. MICCAI (3) 2021: 325-335 - [i9]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR abs/2103.06030 (2021) - [i8]Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng:
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching. CoRR abs/2106.08600 (2021) - [i7]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR abs/2109.09735 (2021) - 2020
- [j5]Zhao Wang
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification. IEEE J. Biomed. Health Informatics 24(10): 2806-2813 (2020) - [j4]Qi Dou
Unpaired Multi-Modal Segmentation via Knowledge Distillation. IEEE Trans. Medical Imaging 39(7): 2415-2425 (2020) - [j3]Quande Liu
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. IEEE Trans. Medical Imaging 39(9): 2713-2724 (2020) - [j2]Quande Liu
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39(11): 3429-3440 (2020) - [j1]Luyang Luo
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020) - [c2]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. MICCAI (2) 2020: 475-485 - [i6]Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker:
Unpaired Multi-modal Segmentation via Knowledge Distillation. CoRR abs/2001.03111 (2020) - [i5]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. CoRR abs/2002.03366 (2020) - [i4]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR abs/2005.07377 (2020) - [i3]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020) - [i2]Quande Liu, Qi Dou, Pheng-Ann Heng:
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains. CoRR abs/2007.02035 (2020) - [i1]Zhao Wang, Quande Liu, Qi Dou:
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification. CoRR abs/2009.07652 (2020)
2010 – 2019
- 2018
- [c1]Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, Liang Lin:
Fusing Object Context to Detect Functional Area for Cognitive Robots. ICRA 2018: 1-8
Coauthor Index
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