World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
14501
World Ranking
2233
National Ranking
1113

Overview

Dimitris Samaras is affiliated with Stony Brook University in the United States and has contributed extensively to the field of computer science, focusing primarily on computer vision and pattern recognition. Their research output spans a wide range of topics including artificial intelligence, radiology and medical imaging, human-computer interaction, and cognitive neuroscience.

Their recent publications cover diverse areas in computer vision and artificial intelligence. Notable papers include:

  • Distribution Matching for Crowd Counting, 2020, published in arXiv (Cornell University)
  • Artificial intelligence in drug discovery: applications and techniques, 2021, published in Briefings in Bioinformatics
  • A systematic study of key elements underlying molecular property prediction, 2023, published in Nature Communications
  • Localization in the Crowd with Topological Constraints, 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Variational Feature Disentangling for Fine-Grained Few-Shot Classification, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The scientist's frequent co-authors include Minh Hoai, Gregory J. Zelinsky, Hieu Lê, Prateek Prasanna, and Joel Saltz, indicating collaborative work across several research projects.

Publications appear often in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Main fields of study for Dimitris Samaras focus on computer science, with subfields emphasizing:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Human-Computer Interaction
  • Cognitive Neuroscience

Their research topics cover applications of AI in various domains, such as:

  • AI in cancer detection
  • Visual Attention and Saliency Detection
  • Generative Adversarial Networks and Image Synthesis
  • Gaze Tracking and Assistive Technology
  • Face recognition and analysis
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning

This profile reflects a comprehensive involvement in advancing computer vision, artificial intelligence, and medical imaging techniques, supported by a consistent record of publications and collaborations within these domains.

Best Publications

  • Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.

    Joel Saltz;Rajarsi Gupta;Le Hou;Tahsin Kurc

  • Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

    Le Hou;Dimitris Samaras;Tahsin M. Kurc;Yi Gao

  • Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

    Alexandre Abraham;Michael P. Milham;Adriana Di Martino;R. Cameron Craddock

  • Two-person interaction detection using body-pose features and multiple instance learning

    Kiwon Yun;Jean Honorio;Debaleena Chattopadhyay;Tamara L. Berg

  • Neural Face Editing with Intrinsic Image Disentangling

    Zhixin Shu;Ersin Yumer;Sunil Hadap;Kalyan Sunkavalli

  • Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics

    Lei Zhang;D. Samaras

  • Face recognition under variable lighting using harmonic image exemplars

    Lie Zhang;D. Samaras

  • Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples

    Tomás F. Yago Vicente;Le Hou;Chen-Ping Yu;Minh Hoai

  • Shadow Detection with Conditional Generative Adversarial Networks

    Vu Nguyen;Tomas F. Yago Vicente;Maozheng Zhao;Minh Hoai

  • Dense non-rigid surface registration using high-order graph matching

    Yun Zeng;Chaohui Wang;Yang Wang;Xianfeng Gu

  • High Resolution Acquisition, Learning and Transfer of Dynamic 3‐D Facial Expressions

    Yang Wang;Xiaolei Huang;Chan-Su Lee;Song Zhang

  • Using multiple cues for hand tracking and model refinement

    Shan Lu;D. Metaxas;D. Samaras;J. Oliensis

  • Shadow Removal via Shadow Image Decomposition

    Hieu Le;Dimitris Samaras

  • Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching

    Sen Wang;Yang Wang;Miao Jin;X.D. Gu

  • Artificial intelligence in drug discovery: applications and techniques

    Jianyuan Deng;Zhibo Yang;Iwao Ojima;Dimitris Samaras

  • Real-time Accurate Object Detection using Multiple Resolutions

    Wei Zhang;G. Zelinsky;D. Samaras

  • High resolution tracking of non-rigid 3D motion of densely sampled data using harmonic maps

    Yang Wang;M. Gupta;Song Zhang;Sen Wang

  • Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

    Le Hou;Vu Nguyen;Ariel B. Kanevsky;Ariel B. Kanevsky;Dimitris Samaras

  • Leave-One-Out Kernel Optimization for Shadow Detection and Removal

    Tomas F. Yago Vicente;Minh Hoai;Dimitris Samaras

  • Ricci Flow for 3D Shape Analysis

    Wei Zeng;D. Samaras;D. Gu

  • Distribution Matching for Crowd Counting

    Boyu Wang;Huidong Liu;Dimitris Samaras;Minh Hoai

  • Deforming autoencoders: Unsupervised disentangling of shape and appearance

    Zhixin Shu;Mihir Sahasrabudhe;Rıza Alp Güler;Dimitris Samaras

  • Topology-Preserving Deep Image Segmentation

    Xiaoling Hu;Fuxin Li;Dimitris Samaras;Chao Chen

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Gregory J. Zelinsky
Gregory J. Zelinsky Stony Brook University
Tahsin Kurc
Tahsin Kurc Stony Brook University
Nikos Paragios
Nikos Paragios CentraleSupélec
Xianfeng Gu
Xianfeng Gu Stony Brook University
Rita Z. Goldstein
Rita Z. Goldstein Icahn School of Medicine at Mount Sinai
Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Dardo Tomasi
Dardo Tomasi National Institutes of Health
Nelly Alia-Klein
Nelly Alia-Klein Icahn School of Medicine at Mount Sinai
Nora D. Volkow
Nora D. Volkow National Institutes of Health

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