World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
110
Citations
54510
World Ranking
225
National Ranking
127

Research.com Recognitions

  • 2002 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Dimitris N. Metaxas is affiliated with Rutgers, The State University of New Jersey in the United States and has an extensive publication record in the fields of computer science and medicine, with particular emphasis on computer vision and medical imaging. Their scholarly work covers numerous subfields and topics relevant to imaging technologies and machine learning methodologies.

The primary fields of study include:

  • Computer Science
  • Medicine

Subfields of study reflecting their research contributions are:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Biomedical Engineering
  • Media Technology

Their main research topics encompass:

  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Medical Image Segmentation Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning

Frequent co-authors collaborating with Dimitris N. Metaxas include:

  • Ligong Han
  • Leon Axel
  • L. Zhao
  • Qilong Zhangli
  • Di Liu

Their publication venues reflect consistent contributions to significant conferences and journals in their areas of expertise. These venues include:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Selected recent papers authored or co-authored by Metaxas illustrate the scope and focus of their research interests:

  • FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images, 2020, Medical Image Analysis
  • Global Matching with Overlapping Attention for Optical Flow Estimation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Multi-Stage Feature Fusion Network for Video Super-Resolution, 2021, IEEE Transactions on Image Processing
  • A Good Image Generator Is What You Need for High-Resolution Video Synthesis, 2021, arXiv (Cornell University)
  • Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among professional recognitions, Dimitris N. Metaxas was named a Fellow of the Indian National Academy of Engineering (INAE) in 2002.

Best Publications

  • StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li

  • Self-Attention Generative Adversarial Networks

    Han Zhang;Ian J. Goodfellow;Dimitris N. Metaxas;Augustus Odena

  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI

    Chunming Li;Rui Huang;Zhaohua Ding;J C Gatenby

  • Dynamic 3D models with local and global deformations: deformable superquadrics

    D. Terzopoulos;D. Metaxas

  • Dynamic 3D models with local and global deformations: deformable superquadrics

    D. Terzopoulos;D. Metaxas

  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

    Han Zhang;Tao Xu;Hongsheng Li;Shaoting Zhang

  • Semantic Graph Convolutional Networks for 3D Human Pose Regression

    Long Zhao;Xi Peng;Yu Tian;Mubbasir Kapadia

  • Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit.

    Terry S Yoo;Michael J Ackerman;William E Lorensen;Will Schroeder

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

    Dimitris Metaxas;Leon Axel;Gabor Fichtinger;Gábor Székely

  • Conditional models for contextual human motion recognition

    Cristian Sminchisescu;Atul Kanaujia;Dimitris Metaxas

  • Learning with Structured Sparsity

    Junzhou Huang;Tong Zhang;Dimitris Metaxas

  • Modeling the motion of a hot, turbulent gas

    Nick Foster;Dimitris Metaxas

  • Shape and nonrigid motion estimation through physics-based synthesis

    D. Metaxas;D. Terzopoulos

  • Multispectral Deep Neural Networks for Pedestrian Detection

    Jingjing Liu;Shaoting Zhang;Shu Wang;Dimitris N. Metaxas

  • An anthropometric face model using variational techniques

    Douglas DeCarlo;Dimitris Metaxas;Matthew Stone

  • UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

    Yunhe Gao;Mu Zhou;Dimitris N. Metaxas

  • Optical Flow Constraints on Deformable Models with Applications to Face Tracking

    Douglas Decarlo;Dimitris Metaxas

  • Learning active facial patches for expression analysis

    Lin Zhong;Qingshan Liu;Peng Yang;Bo Liu

  • A Framework for Recognizing the Simultaneous Aspects of American Sign Language

    Christian Vogler;Dimitris Metaxas

  • Three-Dimensional Human Body Model Acquisition from Multiple Views

    Ioannis A. Kakadiaris;Dimitri Metaxas

Frequent Co-Authors

Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China
Junzhou Huang
Junzhou Huang The University of Texas at Arlington
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
Xi Peng
Xi Peng Sichuan University
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Vladimir Pavlovic
Vladimir Pavlovic Rutgers, The State University of New Jersey
Norman I. Badler
Norman I. Badler University of Pennsylvania
Cristian Sminchisescu
Cristian Sminchisescu Google (United States)
Judee K. Burgoon
Judee K. Burgoon University of Arizona
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston

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