Publications in Davimar

• Prototipi značilk za adaptivno zaznavanje ovir na vodni površini

  Lojze Žust and Matej Kristan

  International Electrotechnical and Computer Science Conference (ERK), 2022
• A Long-Term Discriminative Single Shot Segmentation Tracker

  Benjamin Džubur, Alan Lukežič, and Matej Kristan

  International Electrotechnical and Computer Science Conference (ERK), 2022
• Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding

  Lojze Žust and Matej Kristan

  WACV 2022, 2022
• Video segmentation of water scenes using semi supervised learning

  Blaž Česnik, Lojze Žust, and Matej Kristan

  ERK2021, 2021
• 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
• DAL: A Deep Depth-Aware Long-term Tracker

  Yanlin Qian, Song Yan, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen, and Jiri Matas

  ICPR, 2020
• HIDRA3: A Robust Deep-Learning Model for Multi-Point Sea-Surface Height and Storm Surges Forecasting

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

  55th International Liège Colloquium on Ocean Dynamics, 2024
• HIDRA3: A Robust Deep-Learning Model for Multi-Point Sea-Surface Height Forecasting

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

  EGU General Assembly 2024, 2024
• Deep-learning transformer-based sea level modeling ensemble for the Adriatic basin

  Marko Rus and Matej Kristan Matjaž Ličer

  54th International Liège Colloquium on Ocean Dynamics, 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

  EGU General Assembly 2023, 2023
• Improvements of the Adriatic Deep-Learning Sea Level Modeling Network HIDRA

  Marko Rus, Matjaž Ličer, and Matej Kristan

  MAELSTROM dissemination workshop, 2022