Content for tag _Mk_j_selected:

Publications - 39

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
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
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
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
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 segmentation-based approach for polyp counting in the wild

Vitjan Zavrtanik, Martin Vodopivec and Matej Kristan

Engineering Applications of Artificial Intelligence, 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
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks

Domen Tabernik, Matej Kristan and Aleš Leonardis

International Journal of Computer Vision, 2020
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 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
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
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
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
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
Tracking by Identification Using Computer Vision and Radio

Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš

Sensors, MDPI, 2013
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 Two-Stage Dynamic Model for Visual Tracking

Matej Kristan, Stanislav Kovacic, Aleš Leonardis and Janez Perš

Systems, Man, and Cybernetics: Part B, 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
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
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
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
Wide-angle camera distortions and non-uniform illumination in mobile robot tracking

G. Klančar, Matej Kristan and R. Karba

Robotics and Autonomous Systems, 2004