Dimitris Metaxas

About

Dimitris Metaxas is a Distinguished Professor in the Department of Computer Science at Rutgers The State University of New Jersey. He has been appointed as a Board of Governors Professor of Computer Science and is recognized as a Fellow of the MICCAI Society and IEEE. His research group focuses on Artificial Intelligence, Computer Vision, and Intelligent Systems. Professor Metaxas has received numerous grants including NIH, AFOSR, MURI, and NSF, and has been awarded the NSF Convergence Accelerator Award. He has also been involved in collaborative projects such as the NSF Smart City Grant aimed at improving micromobility safety in partnership with Rutgers Bloustein School. His contributions to the field have been acknowledged through various accolades, including best student paper awards at MICCAI and ISBI conferences, and he has been featured on ABC News. Professor Metaxas is actively engaged in advancing research in AI and smart city applications, and he has held leadership roles such as General Co-Chair at CVPR 2026.

Research topics

• Computer Science
• Artificial Intelligence
• Computer vision
• Machine Learning
• Mathematics
• Geometry
• Engineering
• Computer graphics (images)

Selected publications

• Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

  2021 · 332 citations

  Senior authorCorresponding

  Oriented object detection in aerial images is a challenging task as the objects in aerial images are displayed in arbitrary directions and are usually densely packed. Cur-rent oriented object detection methods mainly rely on two-stage anchor-based detectors. However, the anchor-based detectors typically suffer from a severe imbalance issue be-tween the positive and negative anchor boxes. To address this issue, in this work we extend the horizontal keypoint-based object detector to the oriented o…

  DOI

• The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023

  Medical Image Analysis · 2025-02-06 · 19 citations

  article
  PublisherDOI

• Learning to Localize Actions in Instructional Videos with LLM-Based Multi-pathway Text-Video Alignment

  Lecture notes in computer science · 2024-09-30 · 3 citations

  book-chapterSenior author
  PublisherDOI

• Editorial for Special Issue on Foundation Models for Medical Image Analysis

  Medical Image Analysis · 2024-11-06 · 2 citations

  editorial
  PublisherDOI

• Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge

  IEEE Transactions on Medical Imaging · 2025-12-08 · 1 citations

  article

  Cardiovascular health is vital to human well-being, and cardiac magnetic resonance (CMR) imaging is considered the clinical reference standard for diagnosing cardiovascular disease. However, its adoption is hindered by long scan times, complex contrasts, and inconsistent quality. While deep learning methods perform well on specific CMR imaging sequences, they often fail to generalize across modalities and sampling schemes. The lack of benchmarks for high-quality, fast CMR image reconstruction fu…

  PublisherDOI

Recent grants

• Collaborative Research: ITR - [ASE+ECS] - [dmc+int]: DDDAS - Advances in recognition and interpretation of human motion: An Integrated Approach to ASL Recognition

  NSF · $850k · 2004–2008

• Collaborative Research: CI-ADDO-EN: Development of Publicly Available, Easily Searchable, Linguistically Analyzed, Video Corpora for Sign Language and Gesture Research

  NSF · $98k · 2011–2014

• MRI: Development of a Near-Real-Time High-Accuracy Musculoskeletal System Measurement and Analysis Instrument (SKELETALMI)

  NSF · $1.1M · 2012–2016

Frequent coauthors

• Leon Axel

  New York University

  92 shared

• Shaoting Zhang

  81 shared

• Xi Peng

  40 shared

• Junzhou Huang

  The University of Texas at Arlington

  40 shared

• Ligong Han

  Rutgers Sexual and Reproductive Health and Rights

  32 shared

• L. Zhao

  Qilu University of Technology

  31 shared

• Pengxiang Wu

  Snap (United States)

  31 shared

• Qingshan Liu

  Guangdong University of Finance

  31 shared

Education

• Ph.D., Computer Science

  Rutgers, The State University of New Jersey

Awards & honors

• Fellow of the MICCAI Society
• Distinguished Professor
• Board of Governors Professor of Computer Science at Rutgers
• IEEE Fellow
• NSF Convergence Accelerator Award

Similar researchers at Rutgers University

• Ahmed Elgammalh-50
• Tomasz Imielinskih-46
• Kostas Bekrish-44