World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
58150
World Ranking
2814
National Ranking
1390

Overview

Carlo Tomasi is affiliated with Duke University in the United States, specializing primarily in the field of Computer Science. Their research spans subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Media Technology, and Radiology, Nuclear Medicine and Imaging.

The scientist's work covers a range of topics, with particular emphasis on Advanced Vision and Imaging, Advanced Image Processing Techniques, and Image Enhancement Techniques. Additional areas of focus include Image Processing Techniques and Applications, Retinal Imaging and Analysis, Plant and Animal Studies, and Advanced Neural Network Applications.

Carlo Tomasi has contributed to multiple academic publications. Recent notable papers include:

  • Applying machine learning to investigate long-term insect-plant interactions preserved on digitized herbarium specimens, 2020, Applications in Plant Sciences
  • Using computer vision on herbarium specimen images to discriminate among closely related horsetails (Equisetum), 2020, Applications in Plant Sciences
  • Joint Detection of Motion Boundaries and Occlusions, 2021, arXiv (Cornell University)
  • Optical Flow Training under Limited Label Budget via Active Learning, 2022, arXiv (Cornell University)
  • Unsupervised Flow Refinement near Motion Boundaries, 2022, arXiv (Cornell University)

The frequent venues where Carlo Tomasi's work has been published include:

  • arXiv (Cornell University)
  • Applications in Plant Sciences
  • UNC Libraries

Collaborations have involved researchers such as Shuai Yuan, Shuzhi Yu, Hannah Halin Kim, Swarna Kamlam Ravindran, and Emily K. Meineke. The counts of joint publications with these coauthors reflect ongoing partnerships in related research areas.

Best Publications

  • Good features to track

    Jianbo Shi;Tomasi

  • Bilateral filtering for gray and color images

    C. Tomasi;R. Manduchi

  • The Earth Mover's Distance as a Metric for Image Retrieval

    Yossi Rubner;Carlo Tomasi;Leonidas J. Guibas

  • Shape and motion from image streams under orthography: a factorization method

    Carlo Tomasi;Takeo Kanade

  • Detection and Tracking of Point Features

    C. Tomasi

  • Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

    Ergys Ristani;Francesco Solera;Roger S. Zou;Rita Cucchiara

  • A metric for distributions with applications to image databases

    Y. Rubner;C. Tomasi;L.J. Guibas

  • Depth Discontinuities by Pixel-to-Pixel Stereo

    Stan Birchfield;Carlo Tomasi

  • Gesture recognition system using depth perceptive sensors

    Salih Burak Gokturk;Carlo Tomasi;Fahri Surucu;Abbas Rafii

  • A pixel dissimilarity measure that is insensitive to image sampling

    S. Birchfield;C. Tomasi

  • Shape and Motion from Image Streams: a Factorization Method—Part 3 Detection and Tracking of Point Features Technical Report CMU-CS-91-132

    Carlo Tomasi;Takeo Kanade

  • Alpha estimation in natural images

    M.A. Ruzon;C. Tomasi

  • Features for Multi-target Multi-camera Tracking and Re-identification

    Ergys Ristani;Carlo Tomasi

  • Shape and motion from image streams: a factorization method

    Carlo Tomasi

  • Empirical evaluation of dissimilarity measures for color and texture

    J. Puzicha;J.M. Buhmann;Y. Rubner;C. Tomasi

  • Empirical Evaluation of Dissimilarity Measures for Color and Texture

    Yossi Rubner;Jan Puzicha;Carlo Tomasi;Joachim M Buhmann

  • Perceptual metrics for image database navigation

    Carlo Tomasi;Yossi (Joseph) Rubner

  • Image Similarity Using Mutual Information of Regions

    Daniel B. Russakoff;Carlo Tomasi;Torsten Rohlfing;Calvin R. Maurer

  • Quasi-three-dimensional method and apparatus to detect and localize interaction of user-object and virtual transfer device

    Carlo Tomasi;Abbas Rafii

  • Proceedings : 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : CVPR 2005

    Cordelia Schmid

  • Shape and Motion from Image Streams: a Factorization Method Parts 2,8,10 Full Report on the Orthographic Case

    Carlo Tomasi;Takeo Kanade

Frequent Co-Authors

Salih Burak Gokturk
Salih Burak Gokturk Stanford University
Sina Farsiu
Sina Farsiu Duke University
Sandy Napel
Sandy Napel Stanford University
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Stan Birchfield
Stan Birchfield Nvidia (United States)
Roberto Manduchi
Roberto Manduchi University of California, Santa Cruz
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Kathleen M. Pryer
Kathleen M. Pryer Duke University

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