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Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
104
Citations
75744
World Ranking
296
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Czechia Leader Award
  • 2025 - Research.com Computer Science in Czechia Leader Award
  • 2023 - Research.com Computer Science in Czechia Leader Award
  • 2022 - Research.com Computer Science in Czechia Leader Award

Overview

Jiri Matas is affiliated with the Czech Technical University in Prague in the Czech Republic. Their research primarily focuses on computer science, with a significant emphasis on computer vision and pattern recognition.

The subfields of study they contribute to include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Media Technology
  • Signal Processing

The main topics of their work cover a range of areas within vision and imaging technologies:

  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Visual Attention and Saliency Detection
  • Human Pose and Action Recognition

Some of their recent publications include:

  • "Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Automatic Fungi Recognition: Deep Learning Meets Mycology," 2022, Sensors
  • "BOP Challenge 2020 on 6D Object Localization," 2020, Lecture notes in computer science

Frequent collaborators in their research include:

  • Lam Huynh
  • Esa Rahtu
  • Janne Heikkilä
  • Matej Kristan
  • Alan Lukežič

Jiri Matas has published multiple works in prominent venues such as:

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

Their research output includes over 200 publications in computer science fields, focusing extensively on cutting-edge topics in computer vision and related technologies. The work combines theoretical developments and practical applications, with contributions spanning video tracking, imaging techniques, and neural network applications.

Best Publications

  • On combining classifiers

    J. Kittler;M. Hatef;R.P.W. Duin;J. Matas

  • Robust wide-baseline stereo from maximally stable extremal regions

    Jiri Matas;Ondrej Chum;Martin Urban;Tomás Pajdla

  • A Comparison of Affine Region Detectors

    K. Mikolajczyk;T. Tuytelaars;C. Schmid;A. Zisserman

  • Tracking-Learning-Detection

    Z. Kalal;K. Mikolajczyk;J. Matas

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • XM2VTSDB: The Extended M2VTS Database

    K. Messer;J. Matas;J. Kittler;Juergen Luettin

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • ICDAR 2015 competition on Robust Reading

    Dimosthenis Karatzas;Lluis Gomez-Bigorda;Anguelos Nicolaou;Suman Ghosh

  • DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

    Orest Kupyn;Volodymyr Budzan;Mykola Mykhailych;Dmytro Mishkin

  • Matching with PROSAC - progressive sample consensus

    O. Chum;J. Matas

  • P-N learning: Bootstrapping binary classifiers by structural constraints

    Zdenek Kalal;Jiri Matas;Krystian Mikolajczyk

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Discriminative Correlation Filter with Channel and Spatial Reliability

    Alan Lukezic;Tomas Vojir;Luka Cehovin Zajc;Jiri Matas

  • Forward-Backward Error: Automatic Detection of Tracking Failures

    Zdenek Kalal;Krystian Mikolajczyk;Jiri Matas

  • Real-time scene text localization and recognition

    Lukas Neumann;Jiri Matas

  • Locally Optimized RANSAC

    Ondřej Chum;Jiří Matas;Jiří Matas;Josef Kittler

  • Robust wide baseline stereo from maximally stable extremal regions

    Jiri Matas;Ondrej Chum;Martin Urban;Tomás Pajdla

  • Robust Detection of Lines Using the Progressive Probabilistic Hough Transform

    J. Matas;C. Galambos;J. Kittler

  • USAC: A Universal Framework for Random Sample Consensus

    R. Raguram;O. Chum;M. Pollefeys;J. Matas

  • Discriminative Correlation Filter with Channel and Spatial Reliability

    Alan Lukežič;Tomáš Vojíř;Luka Čehovin;Jiří Matas

Frequent Co-Authors

Josef Kittler
Josef Kittler University of Surrey
Ondrej Chum
Ondrej Chum Czech Technical University in Prague
Joni-Kristian Kamarainen
Joni-Kristian Kamarainen Tampere University
Matej Kristan
Matej Kristan University of Ljubljana
Krystian Mikolajczyk
Krystian Mikolajczyk Imperial College London
Janne Heikkilä
Janne Heikkilä University of Oulu
Richard Bowden
Richard Bowden University of Surrey
Juho Kannala
Juho Kannala Aalto University
Simo Särkkä
Simo Särkkä Aalto University
Michael Felsberg
Michael Felsberg Linköping University

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