Publications by Matej Kristan

• The Tenth Visual Object Tracking VOT2022 Challenge Results

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

  ECCV Workshops 2022, 2022
• 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
• Temporal Context for Robust Maritime Obstacle Detection

  Lojze Žust and Matej Kristan

  IROS 2022, 2022
• DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ECCV 2022, 2022
• Prototipi značilk za adaptivno zaznavanje ovir na vodni površini

  Lojze Žust and Matej Kristan

  International Electrotechnical and Computer Science Conference (ERK), 2022
• A Long-Term Discriminative Single Shot Segmentation Tracker

  Benjamin Džubur, Alan Lukežič, and Matej Kristan

  International Electrotechnical and Computer Science Conference (ERK), 2022
• Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding

  Lojze Žust and Matej Kristan

  WACV 2022, 2022
• Video segmentation of water scenes using semi supervised learning

  Blaž Česnik, Lojze Žust, and Matej Kristan

  ERK2021, 2021
• The Ninth Visual Object Tracking VOT2021 Challenge Results

  Matej Kristan, Jirı Matas, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc et al.

  VOT2021 challenge workshop, ICCV workshops, 2021
• DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ICCV 2021, 2021
• DAL: A Deep Depth-Aware Long-term Tracker

  Yanlin Qian, Song Yan, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen, and Jiri Matas

  ICPR, 2020
• 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