Dimitris N. Metaxas

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 340

Top Venues

Publications

Leming Guo, Wanli Xue, Bo Liu, Kaihua Zhang, Tiantian Yuan, Dimitris N. Metaxas
Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition. IEEE Trans. Image Process. 33 (2024)
Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren
SF-V: Single Forward Video Generation Model. CoRR (2024)
Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu
DA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network. Pattern Recognit. 149 (2024)
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)
Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR (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)
Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas
Score-Guided Diffusion for 3D Human Recovery. CoRR (2024)
Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95 (2024)
Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR (2024)
Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR (2024)
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV (2024)
Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. WACV (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)
Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR (2024)
Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR (2024)
Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker
Instantaneous Perception of Moving Objects in 3D. CoRR (2024)
Carol Neidle, Augustine Opoku, Carey Ballard, Yang Zhou, Xiaoxiao He, Gregory Dimitriadis, Dimitris N. Metaxas
New Capability to Look Up an ASL Sign from a Video Example. CoRR (2024)
Wenji Wang, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris N. Metaxas, Shaoting Zhang
AVDNet: Joint coronary artery and vein segmentation with topological consistency. Medical Image Anal. 91 (2024)
Shaoting Zhang, Dimitris N. Metaxas
On the challenges and perspectives of foundation models for medical image analysis. Medical Image Anal. 91 (2024)
Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR (2024)
Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. 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)
Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR (2023)
Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Anal. 89 (2023)
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CVPR (2023)
Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR (2023)
Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images. CoRR (2023)
Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR (2023)
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR (2023)
Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. ICCV (2023)
Gege Ma, Yuan Jin, Jianhu Pan, Shaoting Zhang, Dimitris N. Metaxas, Wentao Zhu
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. EMBC (2023)
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. CoRR (2023)
Zhaoyang Xia, Carol Neidle, Dimitris N. Metaxas
DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization. CoRR (2023)
Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR (2023)
Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV (2023)
Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. EMBC (2023)
Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas
Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. CVPR (2023)
Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. 5 (2023)
Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation. CoRR (2023)
Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation. ISBI (2023)
Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. CoRR (2023)
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. CoRR (2023)
Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. NeurIPS (2023)
Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. CoRR (2023)
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. 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. CoRR (2023)
Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
AVID: Any-Length Video Inpainting with Diffusion Model. CoRR (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)
Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction. CoRR (2023)
Shaoting Zhang, Dimitris N. Metaxas
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis. 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)
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV (2023)
Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang
Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction. MICCAI (6) (2023)
Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching. WACV (2023)
Ziyu Ni, Linda Wei, Lijian Xu, Qing Xia, Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas
Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics. STACOM@MICCAI (2023)
Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu
Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. EMBC (2023)
Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (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)
Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CoRR (2023)
Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. 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)
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. STACOM@MICCAI (2023)
Judee K. Burgoon, Aaron C. Elkins, Douglas C. Derrick, Bradley Walls, Dimitris N. Metaxas
The future of automated capture of social kinesic signals for psychiatric purposes. Frontiers Comput. Sci. 5 (2023)
Ananya Jana, Ramanathan Arunachalam, Carlos D. Minacapelli, Kaitlyn Catalano, Carlos Catalano, Vinod Rustgi, Dimitris N. Metaxas
Scale-Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma. ISBI (2023)
Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. MICCAI (7) (2023)
Guotai Wang, Shaoting Zhang, Sharon X. Huang, Tom Vercauteren, Dimitris N. Metaxas
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. Medical Image Anal. 84 (2023)
Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas
Global Matching with Overlapping Attention for Optical Flow Estimation. CVPR (2022)
Saad Hassan, Sooyeon Lee, Dimitris N. Metaxas, Carol Neidle, Matt Huenerfauth
Understanding ASL Learners' Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study. ASSETS (2022)
Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas
Modality Bank: Learn multi-modality images across data centers without sharing medical data. CoRR (2022)
Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas
Learning Transferable Reward for Query Object Localization with Policy Adaptation. CoRR (2022)
Dong Yang, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Yin Zhang, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou
Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage. J. Signal Process. Syst. 94 (5) (2022)
Alireza Naghizadeh, Wei-chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitris N. Metaxas, Carlos A. Ramos, Dongfang Liu
In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. PLoS Comput. Biol. 18 (3) (2022)
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CoRR (2022)
Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Medical Image Anal. 80 (2022)
Bingyu Xin, Timothy S. Phan, Leon Axel, Dimitris N. Metaxas
Learned Half-Quadratic Splitting Network for MR Image Reconstruction. MIDL (2022)
Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CVPR (2022)
Carol Neidle, Augustine Opoku, Dimitris N. Metaxas
ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP). CoRR (2022)
Song Wen, Hao Wang, Dimitris N. Metaxas
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations. ECCV (22) (2022)
Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Anal. 82 (2022)
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)
Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR (2022)
Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. CoRR (2022)
Wenjia Zhang, Yikai Zhang, Xiaolin Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
A Manifold View of Adversarial Risk. CoRR (2022)
Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas
Towards Self-Supervised and Weight-preserving Neural Architecture Search. ECCV Workshops (4) (2022)
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 (2022)
Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
A Manifold View of Adversarial Risk. AISTATS (2022)
Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas
Global Matching with Overlapping Attention for Optical Flow Estimation. CoRR (2022)
Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas
Learning Transferable Reward for Query Object Localization with Policy Adaptation. ICLR (2022)
Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) (2022)
Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. ECCV (26) (2022)
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
Diffusion Guided Domain Adaptation of Image Generators. CoRR (2022)
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 (2022)
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 (2022)
Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43 (1) (2022)
Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas
Automatic Tooth Segmentation from 3D Dental Model using Deep Learning: A Quantitative Analysis of what can be learnt from a Single 3D Dental Model. CoRR (2022)

Dimitris N. Metaxas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dimitris N. Metaxas