Di Liu

According to our database, Di Liu authored at least 25 papers between 2021 and 2024.

Collaborative distances:

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

2024

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models.

Xiaoxiao He, Ligong Han, Quan Dao, Song Wen, Minhao Bai, Di Liu, Han Zhang, Martin Renqiang Min, Felix Juefei-Xu, Chaowei Tan, Bo Liu, Kang Li, Hongdong Li, Junzhou Huang, Faez Ahmed, Akash Srivastava, Dimitris N. Metaxas

CoRR, 2024

Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation.

Qilong Zhangli, Di Liu, Abhishek Aich, Dimitris N. Metaxas, Samuel Schulter

CoRR, 2024

SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models.

Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan

CoRR, 2024

Implicit In-context Learning.

Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas

CoRR, 2024

Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study.

Dou Liu, Ying Han, Xiandi Wang, Xiaomei Tan, Di Liu, Guangwu Qian, Kang Li, Dan Pu, Rong Yin

CoRR, 2024

ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance.

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 N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning.

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting.

Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models.

Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Instantaneous Perception of Moving Objects in 3D.

Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.

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

IEEE J. Biomed. Health Informatics, July, 2023

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency.

Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas

CoRR, 2023

Improving Tuning-Free Real Image Editing with Proximal Guidance.

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

CoRR, 2023

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning.

Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas

CoRR, 2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning.

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

CoRR, 2023

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction.

Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas

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

Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation.

Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image.

Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.

Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas

CoRR, 2022

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images.

Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas

CoRR, 2022

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks.

Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas

CoRR, 2022

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images.

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

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

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.

Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas

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

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method.

Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas

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

2021

Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation.

Di Liu, Zhennan Yan, Qi Chang, Leon Axel, Dimitris N. Metaxas

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021