Publications in ViCoS

• 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

  Benjamin Kiefer, Matej Kristan, Janez Perš, Lojze Žust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju et al.

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

  Lojze Žust and Matej Kristan

  IROS 2022, 2022
• Towards fast lighting condition inference for augmented reality

  Leon Modic and Luka Čehovin Zajc

  ERK2022, 2022
• Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding

  Lojze Žust and Matej Kristan

  WACV 2022, 2022
• Zaznavanje terasiranih pokrajin kot semantična segmentacija digitalnega modela višin

  Anže Glušič, Rok Ciglič, and Luka Čehovin Zajc

  ERK2021, 2021
• Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij

  Jakob Božič, Vitjan Zavrtanik, and Danijel Skočaj

  ERK, 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
• Adaptive Dynamic Window Approach for Local Navigation

  Matej Dobrevski and Danijel Skočaj

  2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2020
• Co-segmentation for visual object tracking

  Luka Čehovin Zajc

  ERK, 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
• 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
• Improving Traffic Sign Detection with Temporal Information

  Domen Tabernik, Jon Muhovic, Alan Lukežič, and Danijel Skočaj

  Proceedings of the 23rd Computer Vision Winter Workshop, 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
• Obstacle Detection for USVs by Joint Stereo-View Semantic Segmentation

  Borja Bovcon and Matej Kristan

  2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2018
• Fast Spatially Regularized Correlation Filter Tracker

  Alan Lukežič, Luka Čehovin Zajc, and Matej Kristan

  International Electrotechnical and Computer Science Conference (ERK), 2018