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ORCIDDi Liu 0003
Person information
- affiliation: Rutgers University, Department of Computer Science, New Brunswick, NJ, USA
Other persons with the same name
- Di Liu — disambiguation page
- Di Liu 0001
![[0000-0003-0539-9279]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0539-9279")
— Southeast University, School of Cyber Science and Engineering, Nanjing, China - Di Liu 0002 — Nanyang Technological University, HP-NTU Manufacturing Lab, Singapore (and 2 more)
- Di Liu 0004 — Northeast Normal University, Changchun, China
- Di Liu 0005 — South China University of Technology, College ofAutomation Science and Engineering, Guangzhou, China
- Di Liu 0006 — Dalian Jiaotong University, Transportation Management College, China
- Di Liu 0007 — Wuhan University, School of Remote Sensing and Information Engineering, China
- Di Liu 0008 — Shanxi University, School of Mathematical Sciences, Taiyuan, China (and 1 more)
- Di Liu 0009 — University of Adelaide, School of Civil, Environment and Mining Engineering, SA, Australia
- Di Liu 0010 — North China Electric Power Research Institute Company, Ltd., Beijing, China (and 1 more)
- Di Liu 0011 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Di Liu 0012 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Di Liu 0013 — Nanjing Institute of Technology, School of Automation, China
- Di Liu 0014 — North China University of Technology, School of Information Science and Technology, Beijing, China
- Di Liu 0015 — Sun Yat-Sen University, School of Aeronautics and Astronautics, Shenzhen, China
- Di Liu 0016 — Chinese Academy of Sciences, Institute of Microbiology, Information Network Center, Beijing, China
- Di Liu 0017 — University of Strathclyde, Department of Electronic and Electrical Engineering, Glasgow, U.K
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Journal Articles
- 2023
[j1]Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023)
Conference and Workshop Papers
- 2024
- [c9]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas:
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV 2024: 4279-4289 - [c8]Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris Metaxas:
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. WACV 2024: 5079-5088 - 2023
- [c7]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. ICCV 2023: 14190-14200 - [c6]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation. ISBI 2023: 1-5 - [c5]Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas:
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. NeurIPS 2023 - 2022
- [c4]Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas:
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. MICCAI (4) 2022: 129-139 - [c3]Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. MICCAI (5) 2022: 485-495 - [c2]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. MICCAI (4) 2022: 567-577 - 2021
- [c1]Di Liu, Zhennan Yan, Qi Chang, Leon Axel, Dimitris N. Metaxas:
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation. STACOM@MICCAI 2021: 315-322
Informal and Other Publications
- 2023
- [i10]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR abs/2303.09447 (2023) - [i9]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation. CoRR abs/2303.14357 (2023) - [i8]Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas:
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. CoRR abs/2306.02416 (2023) - [i7]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas:
Improving Tuning-Free Real Image Editing with Proximal Guidance. CoRR abs/2306.05414 (2023) - [i6]Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR abs/2309.01035 (2023) - [i5]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. CoRR abs/2309.12594 (2023) - 2022
- [i4]Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas:
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. CoRR abs/2203.00131 (2022) - [i3]Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas:
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. CoRR abs/2203.02846 (2022) - [i2]Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. CoRR abs/2203.10726 (2022) - [i1]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method. CoRR abs/2206.07163 (2022)
Coauthor Index
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