Publications in MK_J_Selected

• 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
• Learning with Weak Annotations for Robust Maritime Obstacle Detection

  Lojze Žust and Matej Kristan

  Sensors, MDPI, 2022
• MODS--A USV-Oriented Object Detection and Obstacle Segmentation Benchmark

  Borja Bovcon, Jon Muhovič, Duško Vranac, Dean Mozetič, Janez Perš, and Matej Kristan

  IEEE Transactions on Intelligent Transportation Systems, 2021
• 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
• WaSR -- A Water Segmentation and Refinement Maritime Obstacle Detection Network

  Borja Bovcon and Matej Kristan

  IEEE Transactions on Cybernetics, TCYB, 2021
• Reconstruction by inpainting for visual anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition, Elsevier, 2021
• HIDRA 1.0: deep-learning-based ensemble sea level forecasting in the northern Adriatic

  Lojze Žust, Anja Fettich, Matej Kristan, and Matjaž Ličer

  Geoscientific Model Development, Copernicus Publications, 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
• A segmentation-based approach for polyp counting in the wild

  Vitjan Zavrtanik, Martin Vodopivec, and Matej Kristan

  Engineering Applications of Artificial Intelligence, Elsevier, 2020
• Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

  Domen Tabernik, Matej Kristan, and Aleš Leonardis

  International Journal of Computer Vision, 2020
• Obstacle Tracking for Unmanned Surface Vessels using 3D Point Cloud

  Jon Muhovič, Rok Mandeljc, Borja Bovcon, Matej Kristan, and Janez Perš

  Journal of Oceanic Engineering, IEEE, 2019
• Towards automated scyphistoma census in underwater imagery: a useful research and monitoring tool

  Martin Vodopivec, Rok Mandeljc, Tihomir Makovec, Alenka Malej, and Matej Kristan

  Journal of Sea Research, 2018
• Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation

  Borja Bovcon, Rok Mandeljc, Janez Perš, and Matej Kristan

  Robotics and Autonomous Systems, Elsevier, 2018
• 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
• Learning part-based spatial models for laser-vision-based room categorization

  Peter Uršič, Aleš Leonardis, Danijel Skočaj, and Matej Kristan

  International Journal of Robotics Reseach, Sage, 2017
• An integrated system for interactive continuous learning of categorical knowledge

  Danijel Skočaj, Alen Vrečko, Marko Mahnič, Miroslav Janiček, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L Wyatt, Thomas Keller et al.

  Journal of Experimental & Theoretical Artificial Intelligence, 2016
• Visual object tracking performance measures revisited

  Luka Čehovin Zajc, Aleš Leonardis, and Matej Kristan

  IEEE Transactions on Image Processing, 2016
• A Novel Performance Evaluation Methodology for Single-Target Trackers

  Matej Kristan, Jiri Matas, Aleš Leonardis, Tomas Vojir, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, and Luka Čehovin Zajc

  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
• Fast image-based obstacle detection from unmanned surface vehicles

  Matej Kristan, Vildana Sulic, Stanislav Kovacic, and Janez Perš

  IEEE Transactions on Cybernetics, 2015