Publications in MK_C_Selected

• A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

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

  The Thirty-Eighth Annual Conference on Neural Information Processing Systems, NeurIPS2024, 2024
• 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