Jie Liu

According to our database, Jie Liu authored at least 15 papers between 2021 and 2023.

Collaborative distances:

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

2023

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation.

Yifan Liu, Wuyang Li, Jie Liu, Hui Chen, Yixuan Yuan

IEEE Trans. Medical Imaging, September, 2023

Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation.

Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou

CoRR, 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection.

Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou

CoRR, 2023

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adjustment and Alignment for Unbiased Open Set Domain Adaptation.

Wuyang Li, Jie Liu, Bo Han, Yixuan Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge.

Jie Liu, Xiaoqing Guo, Yixuan Yuan

IEEE Trans. Medical Imaging, 2022

Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation.

Xiaoqing Guo, Jie Liu, Yixuan Yuan

IEEE Trans. Medical Imaging, 2022

Instance importance-Aware graph convolutional network for 3D medical diagnosis.

Zhen Chen, Jie Liu, Meilu Zhu, Yat Ming Peter Woo, Yixuan Yuan

Medical Image Anal., 2022

Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation.

Yifan Liu, Jie Liu, Yixuan Yuan

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

Unknown-Oriented Learning for Open Set Domain Adaptation.

Jie Liu, Xiaoqing Guo, Yixuan Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation.

Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation.

Jie Liu, Xiaoqing Guo, Yixuan Yuan

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

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.

Wuyang Li, Chen Yang, Jie Liu, Xinyu Liu, Xiaoqing Guo, Yixuan Yuan

Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving.

Jie Liu, Xiaoqing Guo, Baopu Li, Yixuan Yuan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021