Quande Liu

According to our database, Quande Liu authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

GameGen-X: Interactive Open-world Game Video Generation.

Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen

CoRR, 2024

Text-Animator: Controllable Visual Text Video Generation.

Lin Liu, Quande Liu, Shengju Qian, Yuan Zhou, Wengang Zhou, Houqiang Li, Lingxi Xie, Qi Tian

CoRR, 2024

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.

Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Man Zhou, Jie Zhang

CoRR, 2024

2022

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images.

Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou

IEEE Trans. Medical Imaging, 2022

Learning With Privileged Multimodal Knowledge for Unimodal Segmentation.

Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2022

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng

npj Digit. Medicine, 2022

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance.

Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding.

Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2022, 2022

Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary.

Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng

npj Digit. Medicine, 2021

Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching.

Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling.

Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space.

Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.

Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.

Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.

Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data.

Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

Unpaired Multi-Modal Segmentation via Knowledge Distillation.

Qi Dou, Quande Liu, Pheng-Ann Heng, Ben Glocker

IEEE Trans. Medical Imaging, 2020

Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.

Zhao Wang, Quande Liu, Qi Dou

IEEE J. Biomed. Health Informatics, 2020

Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains.

Quande Liu, Qi Dou, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Fusing Object Context to Detect Functional Area for Cognitive Robots.

Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, Liang Lin

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018