Publications in ViAMaRo

• Correcting decalibration of stereo cameras in self-driving vehicles

  Jon Muhovič and Janez Perš

  Sensors, 2020
• Performance Evaluation Methodology for Long-Term Single Object Tracking

  Alan Lukežič, Luka Čehovin Zajc, Tomáš Vojíř, Jiří Matas, and Matej Kristan

  IEEE Transactions on Cybernetics, 2020
• A segmentation-based approach for polyp counting in the wild

  Vitjan Zavrtanik, Martin Vodopivec, and Matej Kristan

  Engineering Applications of Artificial Intelligence, Elsevier, 2020
• Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

  Domen Tabernik, Matej Kristan, and Aleš Leonardis

  International Journal of Computer Vision, 2020
• Obstacle Tracking for Unmanned Surface Vessels using 3D Point Cloud

  Jon Muhovič, Rok Mandeljc, Borja Bovcon, Matej Kristan, and Janez Perš

  Journal of Oceanic Engineering, IEEE, 2019
• Towards automated scyphistoma census in underwater imagery : a useful research and monitoring too

  Martin Vodopivec, Rok Mandeljc, Tihomir Makovec, Alenka Malej, and Matej Kristan

  Journal of sea research, 2018
• Towards automated scyphistoma census in underwater imagery: a useful research and monitoring tool

  Martin Vodopivec, Rok Mandeljc, Tihomir Makovec, Alenka Malej, and Matej Kristan

  Journal of Sea Research, 2018
• Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation

  Borja Bovcon, Rok Mandeljc, Janez Perš, and Matej Kristan

  Robotics and Autonomous Systems, Elsevier, 2018
• Discriminative Correlation Filter Tracker with Channel and Spatial Reliability

  Alan Lukežič, Tomas Vojir, Luka Čehovin Zajc, Jiri Matas, and Matej Kristan

  International Journal of Computer Vision, Springer, 2018
• Deformable Parts Correlation Filters for Robust Visual Tracking

  Alan Lukežič, Luka Čehovin Zajc, and Matej Kristan

  IEEE Transactions on Cybernetics, 2017
• TraX: The visual Tracking eXchange Protocol and Library

  Luka Čehovin Zajc

  Neurocomputing, 2017
• The Eighth Visual Object Tracking VOT2020 Challenge Results

  Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Čehovin Zajc, Martin Danelljan, Alan Lukezic et al.

  ECCV2020 workshops, 2020
• D3S - A Discriminative Single Shot Segmentation Tracker

  Alan Lukežič, Jiří Matas, and Matej Kristan

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
• A water-obstacle separation and refinement network for unmanned surface vehicles

  Borja Bovcon and Matej Kristan

  2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2020
• The Seventh Visual Object Tracking VOT2019 Challenge Results

  Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Čehovin Zajc, Ondrej Drbohlav, Alan Lukezic et al.

  ICCV 2019 workshops, 2019
• CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark

  Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, and Matej Kristan

  IEEE International Conference on Computer Vision (ICCV), 2019
• Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters

  Ugur Kart, Alan Lukežič, Matej Kristan, Joni-Kristian Kamarainen, and Jiri Matas

  Computer Vision and Pattern Recognition (CVPR), 2019
• The MaSTr1325 dataset for training deep USV obstacle detection models

  Borja Bovcon, Jon Muhovič, Janez Pers, and Matej Kristan

  2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2019
• The sixth Visual Object Tracking VOT2018 challenge results

  Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pfugfelder, Luka Čehovin Zajc, Tomas Vojir, Goutam Bhat, Alan Lukezic et al.

  VOT2018 workshop, ECCV2018, 2018
• Spatially-Adaptive Filter Units for Deep Neural Networks

  Domen Tabernik, Matej Kristan, and Aleš Leonardis

  Computer Vision and Pattern Recognition, 2018