Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation. - Di Liu 003; Zhennan Yan; Qi Chang; Leon Axel; Dimitris N. Metaxas (STACOM@MICCAI, 2021)

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. - Qi Chang; Zhennan Yan; Mu Zhou; Di Liu 003; Khalid Sawalha; Meng Ye 003; Qilong Zhangli; Mikael Kanski; Subhi Al'Aref; Leon Axel; Dimitris N. Metaxas (MICCAI (4), 2022)

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. - Di Liu 003; Yunhe Gao; Qilong Zhangli; Ligong Han; Xiaoxiao He; Zhaoyang Xia; Song Wen 001; Qi Chang; Zhennan Yan; Mu Zhou; Dimitris N. Metaxas (MICCAI (5), 2022)

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. - Qilong Zhangli; Jingru Yi; Di Liu 003; Xiaoxiao He; Zhaoyang Xia; Qi Chang; Ligong Han; Yunhe Gao; Song Wen 001; Haiming Tang; He Wang 016; Mu Zhou; et al. (MICCAI (4), 2022)

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. - Yunhe Gao; Mu Zhou; Di Liu 003; Dimitris N. Metaxas (CoRR, 2022)

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. - Qilong Zhangli; Jingru Yi; Di Liu 003; Xiaoxiao He; Zhaoyang Xia; Haiming Tang; He Wang 016; Mu Zhou; Dimitris N. Metaxas (CoRR, 2022)

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. - Di Liu 003; Yunhe Gao; Qilong Zhangli; Zhennan Yan; Mu Zhou; Dimitris N. Metaxas (CoRR, 2022)

DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. - Di Liu 003; Xiang Yu 002; Meng Ye 003; Qilong Zhangli; Zhuowei Li 002; Zhixing Zhang; Dimitris N. Metaxas (ICCV, 2023)

Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation. - Xiaoxiao He; Chaowei Tan; Bo Liu 005; Liping Si; Weiwu Yao; Liang Zhao 018; Di Liu 003; Qilong Zhangli; Qi Chang; Kang Li 004; Dimitris N. Metaxas (ISBI, 2023)

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. - Di Liu 003; Anastasis Stathopoulos; Qilong Zhangli; Yunhe Gao; Dimitris N. Metaxas (NeurIPS, 2023)

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (CoRR, 2023)

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. - Yunhe Gao; Zhuowei Li 002; Di Liu 003; Mu Zhou; Shaoting Zhang 001; Dimitris N. Metaxas (CoRR, 2023)

Improving Tuning-Free Real Image Editing with Proximal Guidance. - Ligong Han; Song Wen 001; Qi Chen; Zhixing Zhang; Kunpeng Song; Mengwei Ren; Ruijiang Gao; Yuxiao Chen 002; Di Liu 003; Qilong Zhangli; Anastasis Stathopoulos; Jindong Jiang; et al. (CoRR, 2023)

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. - Di Liu 003; Long Zhao 003; Qilong Zhangli; Yunhe Gao; Ting Liu 005; Dimitris N. Metaxas (CoRR, 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 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Instantaneous Perception of Moving Objects in 3D. - Di Liu 003; Bingbing Zhuang; Dimitris N. Metaxas; Manmohan Chandraker (CVPR, 2024)

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Qilong Zhangli; Jindong Jiang; Di Liu 003; Licheng Yu; Xiaoliang Dai; Ankit Ramchandani; Guan Pang; Dimitris N. Metaxas; Praveen Krishnan (CVPR, 2024)

Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. - Song Wen 001; Hao Wang 014; Di Liu 003; Qilong Zhangli; Dimitris N. Metaxas (WACV, 2024)

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (WACV, 2024)

ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. - Ligong Han; Song Wen 001; Qi Chen; Zhixing Zhang; Kunpeng Song; Mengwei Ren; Ruijiang Gao; Anastasis Stathopoulos; Xiaoxiao He; Yuxiao Chen 002; Di Liu 003; Qilong Zhangli; et al. (WACV, 2024)

Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study. - Dou Liu; Ying Han; Xiandi Wang; Xiaomei Tan; Di Liu 003; Guangwu Qian; Kang Li 004; Dan Pu; Rong Yin 006 (CoRR, 2024)

SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Qilong Zhangli; Jindong Jiang; Di Liu 003; Licheng Yu; Xiaoliang Dai; Ankit Ramchandani; Guan Pang; Dimitris N. Metaxas; Praveen Krishnan (CoRR, 2024)

Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation. - Qilong Zhangli; Di Liu 003; Abhishek Aich; Dimitris N. Metaxas; Samuel Schulter (CoRR, 2024)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models. - Xiaoxiao He; Ligong Han; Quan Dao; Song Wen 001; Minhao Bai; Di Liu 003; Han Zhang 010; Martin Renqiang Min; Felix Juefei-Xu; Chaowei Tan; Bo Liu 005; Kang Li 004; et al. (CoRR, 2024)

VISIAR: Empower MLLM for Visual Story Ideation. - Zhaoyang Xia; Somdeb Sarkhel; Md. Mehrab Tanjim; Stefano Petrangeli; Ishita Dasgupta 002; Yuxiao Chen 002; Jinxuan Xu; Di Liu 003; Saayan Mitra; Dimitris N. Metaxas (ACL (Findings), 2025)

LUCAS: Layered Universal Codec Avatars. - Di Liu 003; Teng Deng; Giljoo Nam; Yu Rong; Stanislav Pidhorskyi; Junxuan Li; Jason M. Saragih; Dimitris N. Metaxas; Chen Cao 001 (CVPR, 2025)

Show and Segment: Universal Medical Image Segmentation via In-Context Learning. - Yunhe Gao; Di Liu 003; Zhuowei Li 002; Yunsheng Li; Dongdong Chen; Mu Zhou; Dimitris N. Metaxas (CVPR, 2025)

Implicit In-context Learning. - Zhuowei Li 002; Zihao Xu 001; Ligong Han; Yunhe Gao; Song Wen 001; Di Liu 003; Hao Wang 014; Dimitris N. Metaxas (ICLR, 2025)

Improved Training Technique for Latent Consistency Models. - Quan Dao; Khanh Doan; Di Liu 003; Trung Le 001; Dimitris N. Metaxas (ICLR, 2025)

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. - Zhuowei Li 002; Haizhou Shi; Yunhe Gao; Di Liu 003; Zhenting Wang; Yuxiao Chen 002; Ting Liu 005; Long Zhao 003; Hao Wang 014; Dimitris N. Metaxas (CoRR, 2025)

Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars. - Eric M. Chen; Di Liu 003; Sizhuo Ma; Michael Vasilkovsky; Bing Zhou; Qiang Gao; Wenzhou Wang; Jiahao Luo; Dimitris N. Metaxas; Vincent Sitzmann; Jian Wang (CoRR, 2025)