Publications in Davimar

• Joint calibration of a multimodal sensor system for autonomous vehicles

  Jon Muhovič and Janez Perš

  Sensors, MDPI, 2023
• 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
• 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
• 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results

  Benjamin Kiefer, Lojze Žust, Matej Kristan, Janez Perš, Matija Teršek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang et al.

  Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
• Multi-modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets

  Tilen Cvenkel, Marija Ivanovska, Jon Muhovič, and Janez Perš

  International Conference on Advanced Concepts for Intelligent Vision Systems, Springer, 2023
• 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
• HIDRA-T – A Transformer-Based Sea Level Forecasting Method

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

  International Electrotechnical and Computer Science Conference (ERK), 2023
• Hallucinating Hidden Obstacles for Unmanned Surface Vehicles Using a Compositional Model

  Jon Muhovič, Gregor Koporec, and Janez Perš

  Computer Vision Winter Workshop 2023 : proceedings of the 26th Computer Vision Winter Workshop, 2023
• 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
• 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
• Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking

  Alan Lukežič, Žiga Trojer, Jiří Matas, and Matej Kristan

  In Proceedings of the British Machine Vision Conference (BMVC), 2022
• Temporal Context for Robust Maritime Obstacle Detection

  Lojze Žust and Matej Kristan

  IROS 2022, 2022
• Towards on-the fly multi-modal sensor calibration

  Jon Muhovič and Janez Perš

  International Electrotechnical and Computer Science Conference (ERK), 2022