Quande Liu

According to our database, Quande Liu authored at least 39 papers between 2018 and 2026.

Collaborative distances:

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

2026

ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling.

Yawen Luo, Xiaoyu Shi, Junhao Zhuang, Yutian Chen, Quande Liu, Xintao Wang, Pengfei Wan, Tianfan Xue

CoRR, March, 2026

IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation.

Donghao Zhou, Jingyu Lin, Guibao Shen, Quande Liu, Jialin Gao, Lihao Liu, Lan Du, Cunjian Chen, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Visual-Aware CoT: Achieving High-Fidelity Visual Consistency in Unified Models.

Zixuan Ye, Quande Liu, Cong Wei, Yuanxing Zhang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhan Luo

CoRR, December, 2025

In-Context Audio Control of Video Diffusion Transformers.

Wenze Liu, Weicai Ye, Minghong Cai, Quande Liu, Xintao Wang, Xiangyu Yue

CoRR, December, 2025

MultiShotMaster: A Controllable Multi-Shot Video Generation Framework.

Qinghe Wang, Xiaoyu Shi, Baolu Li, Weikang Bian, Quande Liu, Huchuan Lu, Xintao Wang, Pengfei Wan, Kun Gai, Xu Jia

CoRR, December, 2025

A Reason-then-Describe Instruction Interpreter for Controllable Video Generation.

Shengqiong Wu, Weicai Ye, Yuanxing Zhang, Jiahao Wang, Quande Liu, Xintao Wang, Pengfei Wan, Kun Gai, Hao Fei, Tat-Seng Chua

CoRR, November, 2025

VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning.

Minghong Cai, Qiulin Wang, Zongli Ye, Wenze Liu, Quande Liu, Weicai Ye, Xintao Wang, Pengfei Wan, Kun Gai, Xiangyu Yue

CoRR, October, 2025

UniVideo: Unified Understanding, Generation, and Editing for Videos.

Cong Wei, Quande Liu, Zixuan Ye, Qiulin Wang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhu Chen

CoRR, October, 2025

UniMMVSR: A Unified Multi-Modal Framework for Cascaded Video Super-Resolution.

Shian Du, Menghan Xia, Chang Liu, Quande Liu, Xintao Wang, Pengfei Wan, Xiangyang Ji

CoRR, October, 2025

UNIC: Unified In-Context Video Editing.

Zixuan Ye, Xuanhua He, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qifeng Chen, Wenhan Luo

CoRR, June, 2025

FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers.

Xuanhua He, Quande Liu, Zixuan Ye, Weicai Ye, Qiulin Wang, Xintao Wang, Qifeng Chen, Pengfei Wan, Di Zhang, Kun Gai

CoRR, June, 2025

A Survey of Interactive Generative Video.

Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Hao Chen, Xihui Liu

CoRR, April, 2025

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation.

Shengqiong Wu, Weicai Ye, Jiahao Wang, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Shuicheng Yan, Hao Fei, Tat-Seng Chua

CoRR, March, 2025

FullDiT: Multi-Task Video Generative Foundation Model with Full Attention.

Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu

CoRR, March, 2025

Position: Interactive Generative Video as Next-Generation Game Engine.

Jiwen Yu, Yiran Qin, Haoxuan Che, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu

CoRR, March, 2025

ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning.

Yuzhou Huang, Ziyang Yuan, Quande Liu, Qiulin Wang, Xintao Wang, Ruimao Zhang, Pengfei Wan, Di Zhang, Kun Gai

CoRR, January, 2025

Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval.

Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention.

Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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