Publications in MK_C_Selected

• The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results

  Matej Kristan, Jiri Matas, Pavel Tokmakov, Michael Felsberg, Luka Čehovin Zajc, Alan Lukežič, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjorklund et al.

  European conference on computer vision workshops, VOTS2024 workshop, 2024
• A Detect-and-Verify Paradigm for Low-Shot Counting - DAVE

  Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, and Matej Kristan

  CVPR2024, IEEE, 2024
• A Low-Shot Object Counting Network With Iterative Prototype Adaptation

  Nikola Djukic, Alan Lukežič, Vitjan Zavrtanik, and Matej Kristan

  ICCV2023, 2023
• LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark

  Lojze Žust, Janez Perš, and Matej Kristan

  ICCV 2023, 2023
• 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
• Temporal Context for Robust Maritime Obstacle Detection

  Lojze Žust and Matej Kristan

  IROS 2022, 2022
• Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding

  Lojze Žust and Matej Kristan

  WACV 2022, 2022
• 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
• 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
• Spatially-Adaptive Filter Units for Deep Neural Networks

  Domen Tabernik, Matej Kristan, and Aleš Leonardis

  Computer Vision and Pattern Recognition, 2018
• 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
• Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking

  Luka Čehovin Zajc, Alan Lukežič, Aleš Leonardis, and Matej Kristan

  IEEE International Conference on Computer Vision (ICCV2017), 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