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ViCoS Lab

Luka Čehovin Zajc, PhD

Associate Professor
  luka.cehovin@fri.uni-lj.si
  @lukacu
  lukacu
  +386 1 479 8252

About me

I am an associate professor at Visual Cognitive Systems Lab at Faculty of Computer and Information Science, University of Ljubljana. At the faculty I am involved in Multimedia Systems and Human-Computer Interaction courses.

My research interests are computer vision, machine learning, remote sensing, and human-computer interaction. I am a co-organizer of the VOT Challenge where we work on systematic visual tracker evaluation.

I also have a personal webpage.

Active Research

Remote sensing

Remote sensing involves scanning of the earth by satellite or high-flying aircraft and analyzing it. Since the amount of data acquired this way is huge and growing, matchine learning can be used to perform tasks efficently. We are using modern computer vision methods and apply them to different problems in remote sensing.

Active Projects

EOFuseREarth Observation with Sensor-Fusion and Representation Learning

January 2025 - April 2026
This ESA funded project investigates the relationship between sensor fusion and self-supervised learning for data-driven Earth Observation. We focus on the role of self-supervised deep learning for sensor fusion from the perspective of different sources with different spatial resolutions and spectral coverage. The project is grounded in a real-world application in the field of hydrology, where the goal is to predict the water level in rivers using satellite and drone imagery.

RoDEORobust Deep Learning for Earth Observation​

January 2025 - December 2027
This ARIS funded project investigats the relationship between sensor fusion and self-supervised learning for data-driven Earth Observation. We focus on the role of self-supervised deep learning for sensor fusion from the perspective of different sources with different spatial resolutions and spectral coverage. The project is grounded in a real-world application in the field of hydrology, where the goal is to predict the water level in rivers using satellite and drone imagery.

The Life and Death of Cultivated Terraces: Computer-Based Recognition and Spatial Analysis of Terraces

January 2025 - December 2027
Terraced landscapes are cultural landscapes of special significance. Cultivated terraces, which are often intended for farming, ensure food and have a priceless ecological, cultural, and historical value. Terraced landscapes are disappearing in places due to overgrowth or improper maintenance. In order to raise awareness of their significance, the Honghe Declaration was passed at the global level in 2010. Slovenia still has not managed to implement suitable criteria for terrace identification or introduce a comprehensive management system despite having officially recognized terraces as a valuable element for landscape preservation (see the Decree on Cross-Compliance, Official Gazette of the Republic of Slovenia, no. 97/2015). A precise overview (register) of the locations of cultivated terraces and spatial analyses are required as the foundation for any further measures.

Recent Publications

  •  
    Demonstracijska celica za prikaz globokega učenja v praktičnih aplikacijah
    Domen Tabernik, Peter Mlakar, Jakob Božič, Luka Čehovin Zajc, Vid Rijavec and Danijel Skočaj
    ROSUS 2024 - Računalniška obdelava slik in njena uporaba v Sloveniji 2024, 2024
  •  
    Multi-Year Time Series Transfer Learning: Application of Early Crop Classification
    Matej Račič, Krištof Oštir, Anže Zupanc and Luka Čehovin Zajc
    Remote Sensing, MDPI, 2024
  •  
    The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results
    Matej Kristan, Jiri Matas, Pavel Tokmakov, Michael Felsberg, Luka Čehovin Zajc, Alan Lukežič, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjorklund, et al.
    European conference on computer vision workshops, VOTS2024 workshop, 2024
  •  
    Towards the deep learning recognition of cultivated terraces based on Lidar data: The case of Slovenia
    Rok Ciglič, Anže Glušič, Lenart Štaut and Luka Čehovin Zajc
    Moravian Geographical Reports, 2024
  • 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
  •  
    Low-Cost Open-Source Robotic Platform for Education
    Luka Čehovin Zajc, Anže Rezelj and Danijel Skočaj
    Transactions on Learning Technologies, IEEE, 2023
  •  
    The Tenth Visual Object Tracking VOT2022 Challenge Results
    Matej Kristan, Aleš Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc, et al.
    ECCV Workshops 2022, 2022
  •  
    Towards fast lighting condition inference for augmented reality
    Leon Modic and Luka Čehovin Zajc
    ERK2022, 2022
  •  
    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
  •  
    Zaznavanje terasiranih pokrajin kot semantična segmentacija digitalnega modela višin
    Anže Glušič, Rok Ciglič and Luka Čehovin Zajc
    ERK2021, 2021
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