Publications in tracking

• A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking

  Alan Lukežič, Žiga Trojer, Jiří Matas, and Matej Kristan

  International Journal of Computer Vision, Springer, 2024
• A Discriminative Single-Shot Segmentation Network for Visual Object Tracking

  Alan Lukežič, Jiří Matas, and Matej Kristan

  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
• 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
• 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
• Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking

  Alan Lukežič, Žiga Trojer, Jiří Matas, and Matej Kristan

  In Proceedings of the British Machine Vision Conference (BMVC), 2022
• 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
• 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
• FuCoLoT - A Fully-Correlational Long-Term Tracker

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

  Asian Conference on Computer Vision, 2018
• Fast Spatially Regularized Correlation Filter Tracker

  Alan Lukežič, Luka Čehovin Zajc, and Matej Kristan

  International Electrotechnical and Computer Science Conference (ERK), 2018
• The Visual Object Tracking VOT2017 Challenge Results

  Matej Kristan, Aleš Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukežič et al.

  VOT workshop 2017, ICCV workshops 2017, 2017
• Discriminative Correlation Filter with Channel and Spatial Reliability

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

  The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
• Robust visual tracking using template anchors

  Luka Čehovin Zajc, Aleš Leonardis, and Matej Kristan

  WACV 2016: IEEE Winter Conference on Applications of Computer Vision, IEEE, 2016
• An adaptive coupled-layer visual model for robust visual tracking

  Luka Čehovin Zajc, Matej Kristan, and Aleš Leonardis

  13th International Conference on Computer Vision, 2011