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Computer Science

D-Index
48
Citations
18590
World Ranking
6015
National Ranking
4

Overview

Matej Kristan is affiliated with the University of Ljubljana in Slovenia. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Computer Vision and Pattern Recognition, Ocean Engineering, Artificial Intelligence, Oceanography, and Industrial and Manufacturing Engineering.

Their recent publications reflect a concentration on topics related to advanced neural network applications, maritime navigation and safety, video surveillance and tracking methods, underwater vehicles and communication systems, anomaly detection techniques and applications, industrial vision systems and defect detection, and visual attention and saliency detection.

  • DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Reconstruction by inpainting for visual anomaly detection (2020), Pattern Recognition
  • WaSR-A Water Segmentation and Refinement Maritime Obstacle Detection Network (2021), IEEE Transactions on Cybernetics
  • MODS -- A USV-oriented object detection and obstacle segmentation benchmark (2021), arXiv (Cornell University)
  • DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection (2021), arXiv (Cornell University)

Frequent coauthors of Matej Kristan include:

  • Lojze Žust
  • Alan Lukežič
  • Matjaž Ličer
  • Vitjan Zavrtanik
  • Jiřı́ Matas

Their work is published predominantly in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Geoscientific Model Development
  • IEEE Transactions on Cybernetics
  • Sensors

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • 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

  • 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

  • DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection

    Unknown

  • A Novel Performance Evaluation Methodology for Single-Target Trackers

    Matej Kristan;Jiri Matas;Ales Leonardis;Tomas Vojir

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Reconstruction by inpainting for visual anomaly detection

    Vitjan Zavrtanik;Matej Kristan;Danijel Skočaj

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Discriminative Correlation Filter with Channel and Spatial Reliability

    Alan Lukežič;Tomáš Vojíř;Luka Čehovin;Jiří Matas

  • Discriminative Correlation Filter Tracker with Channel and Spatial Reliability

    Alan LukeźIăź;Tomáš Vojíř;Luka Čehovin Zajc;Jiří Matas

  • D3S – A Discriminative Single Shot Segmentation Tracker

    Alan Lukezic;Jiri Matas;Matej Kristan

  • Multivariate online kernel density estimation with Gaussian kernels

    Matej Kristan;Aleš Leonardis;Danijel Skočaj

  • Visual Object Tracking Performance Measures Revisited

    Luka Cehovin;Ales Leonardis;Matej Kristan

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model

    L. Čehovin;M. Kristan;A. Leonardis

  • A trajectory-based analysis of coordinated team activity in a basketball game

    Matej Perše;Matej Kristan;Stanislav Kovačič;Goran Vučkovič

  • Fast Image-Based Obstacle Detection From Unmanned Surface Vehicles

    Matej Kristan;Vildana Sulic Kenk;Stanislav Kovacic;Janez Pers

  • A Two-Stage Dynamic Model for Visual Tracking

    Matej Kristan;Stanislav Kovacic;Aleš Leonardis;Janez Pers

  • D3S -- A Discriminative Single Shot Segmentation Tracker.

    Alan Lukežič;Jiří Matas;Matej Kristan

Frequent Co-Authors

Ales Leonardis
Ales Leonardis University of Birmingham
Jiri Matas
Jiri Matas Czech Technical University in Prague
Michael Felsberg
Michael Felsberg Linköping University
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Joni-Kristian Kamarainen
Joni-Kristian Kamarainen Tampere University
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Fatih Porikli
Fatih Porikli Australian National University
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Richard Bowden
Richard Bowden University of Surrey

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