Publications in ViCoS

• Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

  Domen Tabernik, Matej Kristan, and Aleš Leonardis

  International Journal of Computer Vision, 2020
• Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

  Domen Tabernik and Danijel Skočaj

  Transactions on Intelligent Transportation Systems, IEEE, 2019
• Obstacle Tracking for Unmanned Surface Vessels using 3D Point Cloud

  Jon Muhovič, Rok Mandeljc, Borja Bovcon, Matej Kristan, and Janez Perš

  Journal of Oceanic Engineering, IEEE, 2019
• Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation

  Borja Bovcon, Rok Mandeljc, Janez Perš, and Matej Kristan

  Robotics and Autonomous Systems, Elsevier, 2018
• 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
• An integrated system for interactive continuous learning of categorical knowledge

  Danijel Skočaj, Alen Vrečko, Marko Mahnič, Miroslav Janiček, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L Wyatt, Thomas Keller et al.

  Journal of Experimental & Theoretical Artificial Intelligence, 2016
• An integrated system for interactive continuous learning of categorical knowledge

  Danijel Skočaj, Alen Vrečko, Marko Mahnč, Miroslav Janiček, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L Wyatt, Thomas Keller et al.

  2016
• 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
• Fast image-based obstacle detection from unmanned surface vehicles

  Matej Kristan, Vildana Sulic, Stanislav Kovacic, and Janez Perš

  IEEE Transactions on Cybernetics, 2015
• Adding discriminative power to a generative hierarchical compositional model using histograms of compositions

  Domen Tabernik, Aleš Leonardis, Marko Boben, Danijel Skočaj, and Matej Kristan

  Computer Vision and Image Understanding, 2015
• Aktivno učenje in vzajemnost med učiteljem in učencem

  Matjaž Majnik and Danijel Skočaj

  Elektrotehniški vestnik, 2013
• ROC analysis of classifiers in machine learning : a survey

  Matjaž Majnik and Zoran Bosnić

  Intelligent Data Analysis, 2013
• Online Discriminative Kernel Density Estimator With Gaussian Kernels

  Matej Kristan and Aleš Leonardis

  IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 2013
• Room Categorization Based on a Hierarchical Representation of Space

  Peter Uršič, Domen Tabernik, Marko Boben, Danijel Skočaj, Aleš Leonardis, and Matej Kristan

  International Journal of Advanced Robotic Systems, 2013
• 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
• Modeling binding and cross-modal learning in Markov logic networks

  Alen Vrečko, Aleš Leonardis, and Danijel Skočaj

  Neurocomputing, 2012
• Multivariate Online Kernel Density Estimation with Gaussian Kernels

  Matej Kristan, Aleš Leonardis, and Danijel Skočaj

  Pattern Recognition, 2011