Di Liu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Medical Image Segmentation

Diffusion Model

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV (2024)
Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris N. Metaxas
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. WACV (2024)
Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
Implicit In-context Learning. CoRR (2024)
Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR (2024)
Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker
Instantaneous Perception of Moving Objects in 3D. CoRR (2024)
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
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV (2024)
Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. NeurIPS (2023)
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 Negative-Prompt Inversion via Proximal Guidance. CoRR (2023)
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)
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) (2023)
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)
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 (2023)
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 (2023)
Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR (2023)
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 (2023)