ViCoS Lab

HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures

Marko Rus, Hrvoje Mihanović, Matjaž Ličer and Matej Kristan

Geoscientific Model Development, Copernicus Publications, 2025
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking

Alan Lukežič, Žiga Trojer, Jiří Matas and Matej Kristan

International Journal of Computer Vision, Springer, 2024
Center Direction Network for Grasping Point Localization on Cloths

Domen Tabernik, Jon Muhovič, Matej Urbas and Danijel Skočaj

IEEE Robotics and Automation Letters, IEEE, 2024
Dense Center-Direction Regression for Object Counting and Localization with Point Supervision

Domen Tabernik, Jon Muhovič and Danijel Skočaj

Pattern Recognition, 2024
Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation

Vitjan Zavrtanik, Matej Kristan and Danijel Skočaj

Pattern Recognition Letters, 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
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
Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network

Domen Tabernik, Matic Šuc and Danijel Skočaj

Construction and Building Materials, 2023
eWaSR — An Embedded-Compute-Ready Maritime Obstacle Detection Network

Matija Tersek, Lojze Žust and Matej Kristan

Sensors, MDPI, 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

Geoscientific Model Development, Copernicus Publications, 2023
Joint calibration of a multimodal sensor system for autonomous vehicles

Jon Muhovič and Janez Perš

Sensors, MDPI, 2023
Low-Cost Open-Source Robotic Platform for Education

Luka Čehovin Zajc, Anže Rezelj and Danijel Skočaj

Transactions on Learning Technologies, IEEE, 2023
Learning with Weak Annotations for Robust Maritime Obstacle Detection

Lojze Žust and Matej Kristan

Sensors, MDPI, 2022
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking

Alan Lukežič, Jiří Matas and Matej Kristan

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Deep reinforcement learning for map-less goal-driven robot navigation

Matej Dobrevski and Danijel Skočaj

International Journal of Advanced Robotic Systems, 2021
Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks

Domen Rački, Dejan Tomaževič and Danijel Skočaj

Neural Computing and Applications, Springer, 2021
HIDRA 1.0: deep-learning-based ensemble sea level forecasting in the northern Adriatic

Lojze Žust, Anja Fettich, Matej Kristan and Matjaž Ličer

Geoscientific Model Development, Copernicus Publications, 2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning

Jakob Božič, Domen Tabernik and Danijel Skočaj

Computers in Industry, Elsevier, 2021
MODS--A USV-Oriented Object Detection and Obstacle Segmentation Benchmark

Borja Bovcon, Jon Muhovič, Duško Vranac, Dean Mozetič, Janez Perš and Matej Kristan

IEEE Transactions on Intelligent Transportation Systems, 2021
Prepletanje umetne inteligence in fizike pri napovedovanju obalnih poplav

Matjaž Ličer, Lojze Žust and Matej Kristan

Alternator, 2021
Reconstruction by inpainting for visual anomaly detection

Vitjan Zavrtanik, Matej Kristan and Danijel Skočaj

Pattern Recognition, Elsevier, 2021
WaSR -- A Water Segmentation and Refinement Maritime Obstacle Detection Network

Borja Bovcon and Matej Kristan

IEEE Transactions on Cybernetics, TCYB, 2021
A modular toolkit for visual tracking performance evaluation

Luka Čehovin Zajc

SoftwareX, Elsevier, 2020
A segmentation-based approach for polyp counting in the wild

Vitjan Zavrtanik, Martin Vodopivec and Matej Kristan

Engineering Applications of Artificial Intelligence, Elsevier, 2020
Correcting decalibration of stereo cameras in self-driving vehicles

Jon Muhovič and Janez Perš

Sensors, 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
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

Domen Tabernik, Samo Šela, Jure Skvarč and Danijel Skočaj

Journal of Intelligent Manufacturing, 2020
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
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
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
Towards automated scyphistoma census in underwater imagery : a useful research and monitoring too

Martin Vodopivec, Rok Mandeljc, Tihomir Makovec, Alenka Malej and Matej Kristan

Journal of sea research, 2018
Towards automated scyphistoma census in underwater imagery: a useful research and monitoring tool

Martin Vodopivec, Rok Mandeljc, Tihomir Makovec, Alenka Malej and Matej Kristan

Journal of Sea Research, 2018
Deformable Parts Correlation Filters for Robust Visual Tracking

Alan Lukežič, Luka Čehovin Zajc and Matej Kristan

IEEE Transactions on Cybernetics, 2017
Learning part-based spatial models for laser-vision-based room categorization

Peter Uršič, Aleš Leonardis, Danijel Skočaj and Matej Kristan

International Journal of Robotics Reseach, Sage, 2017
TraX: The visual Tracking eXchange Protocol and Library

Luka Čehovin Zajc

Neurocomputing, 2017
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
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
Effects of rule changes on physical demands and shot characteristics of elite-standard men’s squash and implications for training

Stafford Murray, Nic James, Mike Hughes, Janez Perš, Rok Mandeljc and Goran Vučković

Journal of Sports Sciences, Taylor & Francis Online, 2016
Visual object tracking performance measures revisited

Luka Čehovin Zajc, Aleš Leonardis and Matej Kristan

IEEE Transactions on Image Processing, 2016
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
Fast image-based obstacle detection from unmanned surface vehicles

Matej Kristan, Vildana Sulic, Stanislav Kovacic and Janez Perš

IEEE Transactions on Cybernetics, 2015
Visual re-identification across large, distributed camera networks

Vildana Sulić Kenk, Rok Mandeljc, Stanislav Kovacic, Matej Kristan, Melita Hajdinjak and Janez Perš

Image and Vision Computing, Elsevier, 2015
Aktivno učenje in vzajemnost med učiteljem in učencem

Matjaž Majnik and Danijel Skočaj

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

Matjaž Majnik and Zoran Bosnić

Intelligent Data Analysis, 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
Towards commoditized smart-camera design

Boštjan Murovec, Janez Perš, Rok Mandeljc, Vildana Sulić Kenk and Stanislav Kovacic

Journal of Systems Architecture, Elsevier, 2013
Tracking by Identification Using Computer Vision and Radio

Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš

Sensors, MDPI, 2013
Modeling binding and cross-modal learning in Markov logic networks

Alen Vrečko, Aleš Leonardis and Danijel Skočaj

Neurocomputing, 2012
Efficient Feature Distribution for Object Matching in Visual-Sensor Networks

Vildana Sulic, Janez Perš, Matej Kristan and Stanislav Kovacic

IEEE Transactions on Circuits and Systems for Video Technology, 2011
Multivariate Online Kernel Density Estimation with Gaussian Kernels

Matej Kristan, Aleš Leonardis and Danijel Skočaj

Pattern Recognition, 2011
A framework for visual-context-aware object detection in still images

Roland Perko and Aleš Leonardis

Computer Vision and Image Understanding, Special Issue on Multi-Camera and Multi-Modal Sensor Fusion, 2010
A Two-Stage Dynamic Model for Visual Tracking

Matej Kristan, Stanislav Kovacic, Aleš Leonardis and Janez Perš

Systems, Man, and Cybernetics: Part B, 2010
Empirical evaluation of feature selection methods in classification

Luka Čehovin Zajc and Zoran Bosnić

Intelligent Data Analysis, 2010
Histograms of optical flow for efficient representation of body motion

Janez Perš, Vildana Sulic, Matej Kristan, M. Perše, K. Polanec and Stanislav Kovacic

Pattern Recognition Letters, 2010
Self-understanding and self-extension: a systems and representational approach

Jeremy L. Wyatt, Alper Aydemir, Michael Brenner, Marc Hanheide, Nick Hawes, Patric Jensfelt, Matej Kristan, Geert-Jan M. Kruijff, Pierre Lison, et al.

IEEE Transactions on Autonomous Mental Development, 2010
A Local-motion-based probabilistic model for visual tracking

Matej Kristan, Janez Perš, Stanislav Kovacic and Aleš Leonardis

Pattern Recognition, 2009
A Trajectory-Based Analysis of Coordinated Team Activity in a Basketball Game

M. Perše, Matej Kristan, G. Vuckovic, Stanislav Kovacic and Janez Perš

Computer Vision and Image Understanding, Elsevier, 2009
Analysis of multi-agent activity using Petri nets

M. Perše, Matej Kristan, Janez Perš, G. Mušič and Stanislav Kovacic

Pattern Recognition, 2009
Closed-world tracking of multiple interacting targets for indoor-sports applications

Matej Kristan, Janez Perš, M. Perše and Stanislav Kovacic

Computer Vision and Image Understanding, 2009
Online Kernel Density Estimation For Interactive Learning

Matej Kristan, Danijel Skočaj and Aleš Leonardis

Image and Vision Computing, 2009
An Analysis Of Basketball Players' Movements In The Slovenian Basketball League Play-Offs Using The Sagit Tracking System

F. Erčulj, B. Dežman, G. Vuckovic, Janez Perš, M. Perše and Matej Kristan

Facta Universitatis, Series: Physical Education and Sport, 2008
Incremental and robust learning of subspace representations

Danijel Skočaj and Aleš Leonardis

Image vis. comput., 2008
Selecting features for object detection using an AdaBoost-compatible evaluation function

Luka Fürst, Sanja Fidler and Aleš Leonardis

Pattern Recognition Letters, Elsevier Science Inc., 2008
Unsupervised Learning of a Hierarchy of Topological Maps using Omnidirectional Images

A. Štimec, Matjaž Jogan and Aleš Leonardis

International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), World Scientific Publishing Company, 2008
Sledenje več igralcev v športnih igrah na podlagi vizualne informacije

Matej Kristan, M. Perše, Stanislav Kovacic and Janez Perš

Electrotechnical Review, 2007
Weighted and robust learning of subspace representations

Danijel Skočaj, Aleš Leonardis and Horst Bischof

Pattern recogn., 2007
A Bayes-Spectral-Entropy-Based Measure of Camera Focus Using a Discrete Cosine Transform

Matej Kristan, Janez Perš, M. Perše and Stanislav Kovacic

Pattern Recognition Letters, 2006
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling

Sanja Fidler, Danijel Skočaj and Aleš Leonardis

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
Robust and efficient vision system for group of cooperating mobile robots with application to soccer robots

G. Klančar, Matej Kristan and Stanislav Kovacic

ISA Transactions, 2004
Robustno vizualno učenje na podlagi podprostorov

Danijel Skočaj

Elektroteh. vestn., 2004
Wide-angle camera distortions and non-uniform illumination in mobile robot tracking

G. Klančar, Matej Kristan and R. Karba

Robotics and Autonomous Systems, 2004
Karhunen-Loeve Transform of a Set of Rotated Templates

Matjaž Jogan, Emil Žagar and Aleš Leonardis

IEEE Trans. on Image Processing, 2003
Robust Localization using an Omnidirectional Appearance-based Subspace Model of Environment

Matjaž Jogan and Aleš Leonardis

Robotics and Autonomous Systems, 2003

Publication types