Publications by Luka Čehovin Zajc

• 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
• 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
• Low-Cost Open-Source Robotic Platform for Education

  Luka Čehovin Zajc, Anže Rezelj, and Danijel Skočaj

  Transactions on Learning Technologies, IEEE, 2023
• A modular toolkit for visual tracking performance evaluation

  Luka Čehovin Zajc

  SoftwareX, Elsevier, 2020
• 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
• 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
• Deformable Parts Correlation Filters for Robust Visual Tracking

  Alan Lukežič, Luka Čehovin Zajc, and Matej Kristan

  IEEE Transactions on Cybernetics, 2017
• TraX: The visual Tracking eXchange Protocol and Library

  Luka Čehovin Zajc

  Neurocomputing, 2017
• Visual object tracking performance measures revisited

  Luka Čehovin Zajc, Aleš Leonardis, and Matej Kristan

  IEEE Transactions on Image Processing, 2016
• A Novel Performance Evaluation Methodology for Single-Target Trackers

  Matej Kristan, Jiri Matas, Aleš Leonardis, Tomas Vojir, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, and Luka Čehovin Zajc

  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
• Robust Visual Tracking using an Adaptive Coupled-layer Visual Model

  Luka Čehovin Zajc, Matej Kristan, and Aleš Leonardis

  IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, 2013
• Empirical evaluation of feature selection methods in classification

  Luka Čehovin Zajc and Zoran Bosnić

  Intelligent Data Analysis, 2010
• Towards fast lighting condition inference for augmented reality

  Leon Modic and Luka Čehovin Zajc

  ERK2022, 2022
• Zaznavanje terasiranih pokrajin kot semantična segmentacija digitalnega modela višin

  Anže Glušič, Rok Ciglič, and Luka Čehovin Zajc

  ERK2021, 2021
• The Eighth Visual Object Tracking VOT2020 Challenge Results

  Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Čehovin Zajc, Martin Danelljan, Alan Lukezic et al.

  ECCV2020 workshops, 2020
• Co-segmentation for visual object tracking

  Luka Čehovin Zajc

  ERK, 2020
• Application of Temporal Convolutional Neural Network for the Classification of Crops on SENTINEL-2 Time Series

  Matej Račič, Krištof Oštir, Devis Peressutti, Anže Zupanc, and Luka Čehovin Zajc

  International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020
• The Seventh Visual Object Tracking VOT2019 Challenge Results

  Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka Čehovin Zajc, Ondrej Drbohlav, Alan Lukezic et al.

  ICCV 2019 workshops, 2019
• The sixth Visual Object Tracking VOT2018 challenge results

  Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pfugfelder, Luka Čehovin Zajc, Tomas Vojir, Goutam Bhat, Alan Lukezic et al.

  VOT2018 workshop, ECCV2018, 2018
• FuCoLoT - A Fully-Correlational Long-Term Tracker

  Alan Lukežič, Luka Čehovin Zajc, Tomas Vojir, Jiri Matas, and Matej Kristan

  Asian Conference on Computer Vision, 2018