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ViCoS Lab

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  • 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, Matej Kristan and Matjaž Ličer
    54th International Liège Colloquium on Ocean Dynamics, 2023
  • Guided Video Object Segmentation by Tracking
    Jer Pelhan, Matej Kristan, Alan Lukežič, Jiri Matas and Luka Čehovin Zajc
    Elektrotehniški vestnik, Journal of Electrical Engineering and Computer Science, 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
  • Fully supervised and point-supervised ship detection using center prediction, LUVSS-2021-11
    Domen Tabernik, Jon Muhovič and Danijel Skočaj
    Technical Report, 2021
  • Exploring levels of stereo fusion for obstacle detection in marine environment
    Borja Bovcon and Matej Kristan
    Computer Vision Winter Workshop, Český Krumlov, Czech Republic, 2018
  • Detekcija točkovnih horizontalnih prometnih znakov, Tehnično poročilo, TR-LUVSS-17/02
    Jon Muhovič, Domen Tabernik and Danijel Skočaj
    Technical Report, 2017
  • Understanding Convolutional Neural Networks for Object Recognition
    Domen Tabernik
    Deep Learning Meetup - Ljubljana, 2016
  • Visual Detection of Business Cards: Segmentation
    Domen Tabernik
    Technical Report, 2016
  • Visual Detection of Business Cards: Key-Point Correspondences Filtering
    Domen Tabernik
    Technical Report, 2015
  • Visual Detection of Business Cards: Study of Interest Key-point Detectors
    Domen Tabernik
    Technical Report, 2015
  • Automatic fruit recognition using computer vision
    Škrjanec Marko
    Bsc Thesis, (Mentor: Matej Kristan), Fakulteta za računalništvo in informatiko, Univerza v Ljubljani, 2013
  • MVL Lab5: Multi-modal Indoor Person Localization Dataset
    Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš
    Technical report, FE-LSV-02/12, Machine Vision Laboratory, University of Ljubljana, Faculty of Electrical Engineering, 2012
  • Nadgradnja mere AUC pri analizi klasifikatorjev s krivuljami ROC
    Matjaž Majnik
    Diplomsko delo / diploma thesis, 2011
  • Approximating Distributions Through Mixtures of Gaussians
    Matej Kristan, Danijel Skočaj and Aleš Leonardis
    2007
  • Computer vision - CVWW '04 : proceedings of the 9th Computer Vision Winter Workshop
    Danijel Skočaj
    Slovenian Pattern Recognition Society, 2004
  • Sledenje objektov v robotskem nogometu
    Matej Kristan
    Diplomsko delo, 2003
Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245