Publications by Matej Kristan

• HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures

  Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan

  Geoscientific Model Development, Copernicus Publications, 2025
• Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition Letters, 2024
• 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
• eWaSR — An Embedded-Compute-Ready Maritime Obstacle Detection Network

  Matija Tersek, Lojze Žust, and Matej Kristan

  Sensors, MDPI, 2023
• HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic

  Marko Rus, Anja Fettich, Matej Kristan, and Matjaž Ličer

  Geoscientific Model Development, Copernicus Publications, 2023
• 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
• Prepletanje umetne inteligence in fizike pri napovedovanju obalnih poplav

  Matjaž Ličer, Lojze Žust, and Matej Kristan

  Alternator, 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 too

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

  Journal of sea research, 2018
• 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