Publications

A Distractor-Aware Memory for Visual Object Tracking with SAM2

Jovana Videnović, Alan Lukežič and Matej Kristan

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
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
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results

Benjamin Kiefer, Lojze Žust, Matej Kristan, Janez Perš, Matija Teršek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, et al.

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
A Detect-and-Verify Paradigm for Low-Shot Counting - DAVE

Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik and Matej Kristan

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
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
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik and Matej Kristan

The Thirty-Eighth Annual Conference on Neural Information Processing Systems, NeurIPS2024, 2024
Aktivno učenje z mešanimi oznakami za detekcijo površinskih napak z globokimi nevronskimi mrežami

Domen Tabernik and Danijel Skočaj

ERK, 2024
Anomalous Sound Detection by Feature-Level Anomaly Simulation

Vitjan Zavrtanik, Matija Marolt, Matej Kristan and Danijel Skočaj

ICASSP 2024, 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
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

Vitjan Zavrtanik, Matej Kristan and Danijel Skočaj

WACV 2024, 2024
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
Dense Center-Direction Regression for Object Counting and Localization with Point Supervision

Domen Tabernik, Jon Muhovič and Danijel Skočaj

Pattern Recognition, 2024
HIDRA3: A Robust Deep-Learning Model for Multi-Point Sea-Surface Height and Storm Surges Forecasting

Marko Rus, Hrvoje Mihanović, Matjaž Ličer and Matej Kristan

55th International Liège Colloquium on Ocean Dynamics, 2024
HIDRA3: A Robust Deep-Learning Model for Multi-Point Sea-Surface Height Forecasting

Marko Rus, Hrvoje Mihanović, Matjaž Ličer and Matej Kristan

EGU General Assembly 2024, 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
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
Tracking and Segmentation of Transparent Objects

Alan Lukežič and Matej Kristan

ERK, 2024
TransFusion – A Transparency-Based Diffusion Model for Anomaly Detection

Matic Fučka, Vitjan Zavrtanik and Danijel Skočaj

ECCV 2024, 2024
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Benjamin Kiefer, Matej Kristan, Janez Perš, Lojze Žust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, et al.

WACVW 2023, 2023
A Low-Shot Object Counting Network With Iterative Prototype Adaptation

Nikola Djukic, Alan Lukežič, Vitjan Zavrtanik and Matej Kristan

ICCV2023, 2023
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
Deep-learning transformer-based sea level modeling ensemble for the Adriatic basin

Marko Rus, Matej Kristan and Matjaž Ličer

54th International Liège Colloquium on Ocean Dynamics, 2023
eWaSR — An Embedded-Compute-Ready Maritime Obstacle Detection Network

Matija Tersek, Lojze Žust and Matej Kristan

Sensors, MDPI, 2023
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
Hallucinating Hidden Obstacles for Unmanned Surface Vehicles Using a Compositional Model

Jon Muhovič, Gregor Koporec and Janez Perš

Computer Vision Winter Workshop 2023 : proceedings of the 26th Computer Vision Winter Workshop, 2023
HIDRA-T – A Transformer-Based Sea Level Forecasting Method

Marko Rus, Anja Fettich, Matej Kristan and Matjaž Ličer

International Electrotechnical and Computer Science Conference (ERK), 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

EGU General Assembly 2023, 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
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark

Lojze Žust, Janez Perš and Matej Kristan

ICCV 2023, 2023
Lokalizacija in ocenjevanje lege predmeta v treh prostostnih stopnjah s središčnimi smernimi vektorji

Domen Tabernik, Jon Muhovič and Danijel Skočaj

ERK, 2023
Low-Cost Open-Source Robotic Platform for Education

Luka Čehovin Zajc, Anže Rezelj and Danijel Skočaj

Transactions on Learning Technologies, IEEE, 2023
Multi-modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets

Tilen Cvenkel, Marija Ivanovska, Jon Muhovič and Janez Perš

International Conference on Advanced Concepts for Intelligent Vision Systems, Springer, 2023
A Long-Term Discriminative Single Shot Segmentation Tracker

Benjamin Džubur, Alan Lukežič and Matej Kristan

International Electrotechnical and Computer Science Conference (ERK), 2022
DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection

Vitjan Zavrtanik, Matej Kristan and Danijel Skočaj

ECCV 2022, 2022
Improvements of the Adriatic Deep-Learning Sea Level Modeling Network HIDRA

Marko Rus, Matjaž Ličer and Matej Kristan

MAELSTROM dissemination workshop, 2022
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding

Lojze Žust and Matej Kristan

WACV 2022, 2022
Learning with Weak Annotations for Robust Maritime Obstacle Detection

Lojze Žust and Matej Kristan

Sensors, MDPI, 2022
Prototipi značilk za adaptivno zaznavanje ovir na vodni površini

Lojze Žust and Matej Kristan

International Electrotechnical and Computer Science Conference (ERK), 2022
Temporal Context for Robust Maritime Obstacle Detection

Lojze Žust and Matej Kristan

IROS 2022, 2022
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
Towards on-the fly multi-modal sensor calibration

Jon Muhovič and Janez Perš

International Electrotechnical and Computer Science Conference (ERK), 2022
Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking

Alan Lukežič, Žiga Trojer, Jiří Matas and Matej Kristan

In Proceedings of the British Machine Vision Conference (BMVC), 2022
Video-Based Ski Jump Style Scoring from Pose Trajectory

Dejan Štepec and Danijel Skočaj

IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 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
Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij

Jakob Božič, Vitjan Zavrtanik and Danijel Skočaj

ERK, 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
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

Vitjan Zavrtanik, Matej Kristan and Danijel Skočaj

ICCV 2021, 2021
Fully supervised and point-supervised ship detection using center prediction, LUVSS-2021-11

Domen Tabernik, Jon Muhovič and Danijel Skočaj

Technical Report, 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
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
Video segmentation of water scenes using semi supervised learning

Blaž Česnik, Lojze Žust and Matej Kristan

ERK2021, 2021
WaSR -- A Water Segmentation and Refinement Maritime Obstacle Detection Network

Borja Bovcon and Matej Kristan

IEEE Transactions on Cybernetics, TCYB, 2021
Zaznavanje terasiranih pokrajin kot semantična segmentacija digitalnega modela višin

Anže Glušič, Rok Ciglič and Luka Čehovin Zajc

ERK2021, 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
A water-obstacle separation and refinement network for unmanned surface vehicles

Borja Bovcon and Matej Kristan

2020 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2020
Adaptive Dynamic Window Approach for Local Navigation

Matej Dobrevski and Danijel Skočaj

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 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
Co-segmentation for visual object tracking

Luka Čehovin Zajc

ERK, 2020
Correcting decalibration of stereo cameras in self-driving vehicles

Jon Muhovič and Janez Perš

Sensors, 2020
D3S - A Discriminative Single Shot Segmentation Tracker

Alan Lukežič, Jiří Matas and Matej Kristan

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
DAL: A Deep Depth-Aware Long-term Tracker

Yanlin Qian, Song Yan, Alan Lukezic, Matej Kristan, Joni-Kristian Kämäräinen and Jiri Matas

ICPR, 2020
End-to-end training of a two-stage neural network for defect detection

Jakob Božič, Domen Tabernik and Danijel Skočaj

ICPR, 2020
O klasifikaciji slik v ne-enolično določljive razrede

Jon Muhovič, Domen Tabernik and Danijel Skočaj

ERK, 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
The Eighth Visual Object Tracking VOT2020 Challenge Results

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

ECCV2020 workshops, 2020
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark

Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas and Matej Kristan

IEEE International Conference on Computer Vision (ICCV), 2019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

Domen Tabernik and Danijel Skočaj

Transactions on Intelligent Transportation Systems, IEEE, 2019
Deep-learning-based computer vision system for surface-defect detection

Domen Tabernik, Samo Šela, Jure Skvarč and Danijel Skočaj

Proceedings of the 12th International Conference on Computer Vision Systems, 2019
Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters

Ugur Kart, Alan Lukežič, Matej Kristan, Joni-Kristian Kamarainen and Jiri Matas

Computer Vision and Pattern Recognition (CVPR), 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
The MaSTr1325 dataset for training deep USV obstacle detection models

Borja Bovcon, Jon Muhovič, Janez Pers and Matej Kristan

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2019
The Seventh Visual Object Tracking VOT2019 Challenge Results

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

ICCV 2019 workshops, 2019
Depth Fingerprinting for Obstacle Tracking using 3D Point Cloud

Jon Muhovič, Rok Mandeljc, Borja Bovcon and Janez Perš

Computer vision winter workshop, 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
Exploring levels of stereo fusion for obstacle detection in marine environment

Borja Bovcon and Matej Kristan

Computer Vision Winter Workshop, Český Krumlov, Czech Republic, 2018
Fast Spatially Regularized Correlation Filter Tracker

Alan Lukežič, Luka Čehovin Zajc and Matej Kristan

International Electrotechnical and Computer Science Conference (ERK), 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
Improving Traffic Sign Detection with Temporal Information

Domen Tabernik, Jon Muhovič, Alan Lukežič and Danijel Skočaj

Proceedings of the 23rd Computer Vision Winter Workshop, 2018
Obstacle Detection for USVs by Joint Stereo-View Semantic Segmentation

Borja Bovcon and Matej Kristan

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2018
Spatially-Adaptive Filter Units for Deep Neural Networks

Domen Tabernik, Matej Kristan and Aleš Leonardis

Computer Vision and Pattern Recognition, 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
Teaching with open-source robotic manipulator

Luka Čehovin Zajc, Anže Rezelj and Danijel Skočaj

Robotics in Education (RiE 2018), 2018
The sixth Visual Object Tracking VOT2018 challenge results

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

VOT2018 workshop, ECCV2018, 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
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking

Luka Čehovin Zajc, Alan Lukežič, Aleš Leonardis and Matej Kristan

IEEE International Conference on Computer Vision (ICCV2017), 2017
Deformable Parts Correlation Filters for Robust Visual Tracking

Alan Lukežič, Luka Čehovin Zajc and Matej Kristan

IEEE Transactions on Cybernetics, 2017
Detekcija napak na površinah z uporabo anotiranih slik in globokim učenjem

Domen Tabernik and Danijel Skočaj

Proceedings of the 26th International Electrotechnical and Computer Science Conference, ERK 2017, 2017
Detekcija ovir iz 3D oblaka točk za potrebe avtonomne plovbe

Jon Muhovič, Rok Mandeljc, Borja Bovcon and Janez Perš

Zbornik šestindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2017, 2017
Detekcija točkovnih horizontalnih prometnih znakov, Tehnično poročilo, TR-LUVSS-17/02

Jon Muhovič, Domen Tabernik and Danijel Skočaj

Technical Report, 2017
Discriminative Correlation Filter with Channel and Spatial Reliability

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

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Improving vision-based obstacle detection on USV using inertial sensor

Borja Bovcon, Rok Mandeljc, Janez Perš and Matej Kristan

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, IEEE, 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
Open-source robotic manipulator and sensory platform

Luka Čehovin Zajc, Anže Rezelj and Danijel Skočaj

Robotics in Education (RiE2017), 2017
Pregled programskih orodij za globoko učenje z vidika uporabe v industrijskih aplikacijah

Domen Tabernik and Danijel Skočaj

ROSUS 2017, 2017
Sledenje objektov s kvadrokopterjem z gibljivo kamero

Jon Muhovič and Matej Kristan

ERK 2017, 2017
The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan, Aleš Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukežič, et al.

VOT workshop 2017, ICCV workshops 2017, 2017
Towards large-scale traffic sign detection and recognition

Peter Uršič, Domen Tabernik, Rok Mandeljc and Danijel Skočaj

Proceedings of the 22nd Computer Vision Winter Workshop, 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
Hierarchical Spatial Model for 2D Range Data Based Room Categorization

Peter Uršič, Aleš Leonardis, Danijel Skočaj and Matej Kristan

IEEE International Conference on Robotics and Automation (ICRA), 2016
Part-Based Room Categorization for Household Service Robots

Peter Uršič, Rok Mandeljc, Aleš Leonardis and Matej Kristan

IEEE International Conference on Robotics and Automation (ICRA), 2016
Robust visual tracking using template anchors

Luka Čehovin Zajc, Aleš Leonardis and Matej Kristan

WACV 2016: IEEE Winter Conference on Applications of Computer Vision, IEEE, 2016
The Visual Object Tracking VOT2016 challenge results

Matej Kristan, Aleš Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka Čehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukežič and Gustavo Fernandez

Computer Vision – ECCV 2016 Workshops, Springer, 2016
Towards Deep Compositional Networks

Domen Tabernik, Matej Kristan, Jeremy L. Wyatt and Aleš Leonardis

23rd International Conference on Pattern Recognition, 2016
Understanding Convolutional Neural Networks for Object Recognition

Domen Tabernik

Deep Learning Meetup - Ljubljana, 2016
Visual Detection of Business Cards: Segmentation

Domen Tabernik

Technical Report, 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
Domain-specific adaptations for region proposals

Domen Tabernik, Rok Mandeljc, Danijel Skočaj and Matej Kristan

Proceedings of the 20th Computer Vision Winter Workshop, 2015, 2015
Efficient spring system optimization for part-based visual tracking

Alan Lukežič, Luka Čehovin Zajc and Matej Kristan

Proceedings of the 24th International Electrotechnical and Computer Science Conference (ERK), 2015
Fast image-based obstacle detection from unmanned surface vehicles

Matej Kristan, Vildana Sulic, Stanislav Kovacic and Janez Perš

IEEE Transactions on Cybernetics, 2015
Filtering out nondiscriminative keypoints by geometry based keypoint constellations

Domen Rački and Matej Kristan

Proceedings of the 24th International Electrotechnical and Computer Science Conference (ERK), 2015
Quality of region proposals in traffic sign detection and recognition

Domen Tabernik, Rok Mandeljc and Danijel Skočaj

Proceedings of the 24th International Electrotechnical and Computer Science Conference, ERK 2015, 2015
Teaching Intelligent Robotics with a Low-Cost Mobile Robot Platform

Luka Čehovin Zajc, Anže Rezelj and Danijel Skočaj

6th International Conference on Robotics in Education RiE 2015, 2015
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Michael Felsberg, Amanda Berg, Gustav Häger, Jorgen Ahlberg, Matej Kristan, Jiri Matas, Aleš Leonardis, Luka Čehovin Zajc, Gustavo Fernandez and Tomas Vojir

Proceedings of the IEEE International Conference on Computer Vision Workshops, IEEE, 2015
The Visual Object Tracking VOT2015 challenge results

Matej Kristan, Jiri Matas, Aleš Leonardis, Michael Felsberg, Luka Čehovin Zajc, Gustavo Fernandez, Tomas Vojir, Gustav Häger, Georg Nebehay, et al.

Visual Object Tracking Workshop 2015 at ICCV2015, 2015
Traffic sign classification with batch and on-line linear support vector machines

Rok Mandeljc, Domen Tabernik, Matej Kristan and Danijel Skočaj

Proceedings of the 24th International Electrotechnical and Computer Science Conference (ERK), 2015
Visual Detection of Business Cards: Key-Point Correspondences Filtering

Domen Tabernik

Technical Report, 2015
Visual Detection of Business Cards: Study of Interest Key-point Detectors

Domen Tabernik

Technical Report, 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
A graphical model for rapid obstacle image-map estimation from unmanned surface vehicles

Matej Kristan, Janez Perš, Vildana Sulic and Stanislav Kovacic

Asian Conference on Computer Vision, ACCV2014, 2014
Is my new tracker really better than yours?

Luka Čehovin Zajc, Matej Kristan and Aleš Leonardis

WACV 2014: IEEE Winter Conference on Applications of Computer Vision, IEEE, 2014
Multi-touch surface based on RGBD camera

Klemen Istenič, Luka Čehovin Zajc and Danijel Skočaj

Human Computer Interaction in Information Systems 2014, 2014
Napredne metode računalniškega vida za avtonomno navigacijo robotskega plovila

Aleksandar Dimitriev, Franc Oven, Tina Strgar, Aleš Černe, Jošt Novak, Duško Vranac, Matej Kristan and Janez Perš

ERK2014, 2014
The Visual Object Tracking VOT2014 challenge results

Matej Kristan, Roman Pflugfelder, Aleš Leonardis, Jiri Matas, Luka Čehovin Zajc, Georg Nebehay, Tomas Vojir, Gustavo Fernandez, Alan Lukežič, et al.

Visual Object Tracking Workshop 2014 at ECCV2014, 2014
The VOT2013 challenge: overview and additional results

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

Proceedings of the Nineteenth Computer Vision Winter Workshop (CVWW2014), 2014
Towards a large-scale category detection with a distributed hierarchical compositional model

Domen Tabernik, Matej Kristan, Marko Boben and Aleš Leonardis

Proceedings of the 23th International Electrotechnical and Computer Science Conference, ERK 2014, 2014
TraX: Visual Tracking eXchange Protocol

Luka Čehovin Zajc

2014
Using discriminative analysis for improving hierarchical compositional models

Domen Tabernik, Matej Kristan, Marko Boben and Aleš Leonardis

Proceedings of the 19th Computer Vision Winter Workshop, 2014
A web-service for object detection using hierarchical models

Domen Tabernik, Luka Čehovin Zajc, Matej Kristan, Marko Boben and Aleš Leonardis

The 9th International Conference on Computer Vision Systems, 2013
Active learning with teacher-learner mutuality

Matjaž Majnik and Danijel Skočaj

Proceedings of the 22nd International Electrotechnical and Computer Science Conference ERK, 2013
Adding discriminative power to hierarchical compositional models for object class detection

Matej Kristan, Marko Boben, Domen Tabernik and Aleš Leonardis

18th Scandinavian Conference on Image Analysis, SCIA, 2013
Aktivno učenje in vzajemnost med učiteljem in učencem

Matjaž Majnik and Danijel Skočaj

Elektrotehniški vestnik, 2013
Automatic fruit recognition using computer vision

Škrjanec Marko

Bsc Thesis, (Mentor: Matej Kristan), Fakulteta za računalništvo in informatiko, Univerza v Ljubljani, 2013
Hypothesis verification with histogram of compositions improves object detection of hierarchical models

Domen Tabernik, Matej Kristan, Marko Boben and Aleš Leonardis

Proceedings of the 22th International Electrotechnical and Computer Science Conference, ERK 2013, 2013
Knowledge gap detection for interactive learning of categorical knowledge

Matjaž Majnik, Matej Kristan and Danijel Skočaj

Proceedings of the 18th Computer Vision Winter Workshop, 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
Superpixel Segmentation for Robust Visual Tracking

Luka Čehovin Zajc, Matej Kristan and Aleš Leonardis

Proceedings of the 22th International Electrotechnical and Computer Science Conference, ERK 2013, Slovenian Section IEEE, 2013
The Visual Object Tracking VOT2013 challenge results

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

ICCV2013 Workshops, Workshop on Visual Object Tracking Challenge, 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
ViCoS Eye - a webservice for visual object categorization

Domen Tabernik, Luka Čehovin Zajc, Matej Kristan, Marko Boben and Aleš Leonardis

The 18th Computer Vision Winter Workshop, 2013
ViCoS Eye - Spletna storitev za kategorizacijo vizualnih objektov

Domen Tabernik, Luka Čehovin Zajc, Matej Kristan, Marko Boben and Aleš Leonardis

ROSUS, 2013
A Visualization and User Interface Framework for Heterogeneous Distributed Environments

Marko Mahnič and Danijel Skočaj

Proceedings of 35th Jubilee International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2012, 2012
Comparing different learning approaches in categorical knowledge acquisition

Danijel Skočaj, Matjaž Majnik, Matej Kristan and Aleš Leonardis

Proceedings of the 2012 Computer Vision Winter Workshop (CVWW), 2012
Cross-modal learning

Danijel Skočaj, Geert-Jan M. Kruijff and Aleš Leonardis

Encyclopedia of the Sciences of Learning, Springer, 2012
Dana36: A Multi-Camera Image Dataset for Object Identification in Surveillance Scenarios

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

Proceedings of the 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS2012), 2012
Detekcija, lokalizacija in identifikacija oseb z več kamerami ter mapami značilnic

Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš

ROSUS 2012: Računalniška obdelava slik in njena uporaba v Sloveniji 2012, 2012
Increased complexity of low-level structures improves histograms of compositions

Domen Tabernik, Matej Kristan, Marko Boben and Aleš Leonardis

Proceedings of the 21th International Electrotechnical and Computer Science Conference, ERK 2012, 2012
Learning statistically relevant edge structure improves low-level visual descriptors

Domen Tabernik, Matej Kristan, Marko Boben and Aleš Leonardis

International Conference on Pattern Recognition, 2012
Modeling binding and cross-modal learning in Markov logic networks

Alen Vrečko, Aleš Leonardis and Danijel Skočaj

Neurocomputing, 2012
Multi-modal tracking by identification

Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš

Proceedings of the 21st International Electrotechnical and Computer Science Conference, ERK 2012, 2012
MVL Lab5: Multi-modal Indoor Person Localization Dataset

Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš

Technical report, FE-LSV-02/12, Machine Vision Laboratory, University of Ljubljana, Faculty of Electrical Engineering, 2012
Non-sequential Multi-view Detection, Localization and Identification of People Using Multi-modal Feature Maps

Rok Mandeljc, Stanislav Kovacic, Matej Kristan and Janez Perš

Proceedings of the 11th Asian Conference on Computer Vision (ACCV2012), 2012
Relevance Determination for Learning Vector Quantization using the Fisher Criterion Score

B. Ridge, Aleš Leonardis and Danijel Skočaj

Proceedings of the 2012 Computer Vision Winter Workshop (CVWW), 2012
Room Classification using a Hierarchical Representation of Space

Peter Uršič, Matej Kristan, Danijel Skočaj and Aleš Leonardis

IEEE/RSJ International Conference on Intelligent Robots and Systems, October 7-12, 2012, Vilamoura, Algarve, Portugal, 2012
A system for interactive learning in dialogue with a tutor

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

IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2011, 2011
About different active learning approaches for acquiring categorical knowledge

Danijel Skočaj, Matej Kristan and Aleš Leonardis

Proceedings Of The Twentieth International Electrotechnical and Computer Science Conference ERK 2011, 2011
An adaptive coupled-layer visual model for robust visual tracking

Luka Čehovin Zajc, Matej Kristan and Aleš Leonardis

13th International Conference on Computer Vision, 2011
Binding and Cross-modal Learning in Markov Logic Networks

Alen Vrečko, Danijel Skočaj and Aleš Leonardis

Proceedings of the 2011 International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'11), 2011
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
Fusion of non-visual modalities into the probabilistic occupancy map framework for person localization

Rok Mandeljc, Janez Perš, Matej Kristan and Stanislav Kovacic

Proceedings of the 5th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC2011), 2011
Fusion of Non-Visual Modalities Into the Probabilistic Occupancy Map Framework for Person Localization

Rok Mandeljc, Janez Perš, Matej Kristan and Stanislav Kovacic

IEEE Inernational Conference on Distributed Smart Cameras, 2011
Learning hierarchical representations of object categories for robot vision

Aleš Leonardis and Sanja Fidler

Springer Tracts in Advanced Robotics, 2011
Multi-camera and radio fusion for person localization in a cluttered environment

Rok Mandeljc, Janez Perš, Matej Kristan and Stanislav Kovacic

Proceedings of the 35th Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2011
Multi-camera and radio fusion for person localization in a cluttered environment

Rok Mandeljc, Perš Janez, Matej Kristan and Stanislav Kovacic

Proceedings of the 35th Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2011
Multivariate Online Kernel Density Estimation with Gaussian Kernels

Matej Kristan, Aleš Leonardis and Danijel Skočaj

Pattern Recognition, 2011
Nadgradnja mere AUC pri analizi klasifikatorjev s krivuljami ROC

Matjaž Majnik

Diplomsko delo / diploma thesis, 2011
Towards hierarchical representation of space

Peter Uršič, Matej Kristan, Danijel Skočaj and Aleš Leonardis

Proceedings of the Electrotechnical and Computer Science Conference (ERK) 2011, 2011
Visual Information Abstraction For Interactive Robot Learning

Kai Zhou, Andreas Richtsfeld, Michael Zillich, Markus Vincze, Alen Vrečko and Danijel Skočaj

The 15th International Conference on Advanced Robotics (ICAR 2011), 2011
A basic cognitive system for interactive continuous learning of visual concepts

Danijel Skočaj, Miroslav Janiček, Matej Kristan, Geert-Jan M. Kruijff, Aleš Leonardis, Pierre Lison, Alen Vrečko and Michael Zillich

ICRA 2010 workshop ICAIR - Interactive Communication for Autonomous Intelligent Robots, 2010
A basic cognitive system for interactive learning of simple visual concepts

Danijel Skočaj, Matej Kristan, Aleš Leonardis, Alen Vrečko, Miroslav Janiček, Geert-Jan M. Kruijff, Pierre Lison and Michael Zillich

RSS Workshop on Learning for Human-Robot Interaction Modeling, 2010
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 system approach to interactive learning of visual concepts

Danijel Skočaj, Matej Kristan, Aleš Leonardis, Marko Mahnič, Alen Vrečko, Miroslav Janiček, Geert-Jan M. Kruijff, Pierre Lison, Michael Zillich, et al.

Tenth International Conference on Epigenetic Robotics EPIROB 2010, 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
An alternative way to calibrate ubisense real-time location system via multi-camera calibration methods

Rok Mandeljc, Janez Perš and Stanislav Kovacic

Proceedings of the 19th International Electrotechnical and Computer Science Conference, ERK 2010, 2010
Binding and Cross-modal Learning in Markov Logic Networks

Alen Vrečko, Danijel Skočaj and Aleš Leonardis

Proceedings of Electrotechnical and Computer Science Conference ERK 2010, 2010
Categorial Perception

M. Fritz, M. Andriluka, Sanja Fidler, M. Stark, Aleš Leonardis and Bernt Schiele

Cognitive Systems, Springer, 2010
Dimensionality Reduction for Distributed Vision Systems Using Random Projection

Vildana Sulic, Janez Perš, Matej Kristan and Stanislav Kovacic

2010 20th International Conference on Pattern Recognition (ICPR), IEEE, 2010
Efficient Dimensionality Reduction Using Random Projection

Vildana Sulic, Janez Perš, Matej Kristan and Stanislav Kovacic

proceedings of the 15th Computer Vision Winter Workshop, 2010
Empirical evaluation of feature selection methods in classification

Luka Čehovin Zajc and Zoran Bosnić

Intelligent Data Analysis, 2010
Histogram of oriented gradients and region covariance descriptor in hierarchical feature-distribution scheme

Vildana Sulic, Janez Perš, Matej Kristan and Stanislav Kovacic

Proceedings of the 19th International Electrotechnical and Computer Science Conference, ERK 2010, 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
Multivariate Online Kernel Density Estimation

Matej Kristan and Aleš Leonardis

Computer Vision Winter Workshop, 2010
Online Discriminative Kernel Density Estimation

Matej Kristan and Aleš Leonardis

International Conference on Pattern Recognition, 2010
Self-Supervised Cross-Modal Online Learning of Basic Object Affordances for Developmental Robotic Systems

B. Ridge, Danijel Skočaj and Aleš Leonardis

Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 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 Computer Vision Integration Model for a Multi-modal Cognitive System

Alen Vrečko, Danijel Skočaj, Nick Hawes and Aleš Leonardis

The 2009 IEEE/RSJ International Conference on Intelligent RObots and Systems, 2009
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
Cognitive Systems

Danijel Skočaj, Matej Kristan, Alen Vrečko, Aleš Leonardis, M. Fritz, M. Stark, Bernt Schiele and S. Hongeng

Published Online, 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection.

Sanja Fidler, Marko Boben and Aleš Leonardis

Neural Information Processing Systems, 2009
Formalization of different learning strategies in a continuous learning framework

Danijel Skočaj, Matej Kristan and Aleš Leonardis

Proceedings of the Ninth International Conference on Epigenetic Robotics; Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Studies, 2009
Integrating Visual Context and Object Detection within a Probabilistic Framework

Roland Perko, Christian Wojek, Bernt Schiele and Aleš Leonardis

Attention in Cognitive Systems, Springer LNAI, 2009
Integration of Computer Vision Components into a Multi-modal Cognitive System

Alen Vrečko, Danijel Skočaj, Nick Hawes and Aleš Leonardis

Proceedings of the Fourteenth Computer Vision Winter Workshop (CVWW), 2009
Learning Contextual Rules for Priming Object Categories in Images

Roland Perko, Lucas Paletta and Aleš Leonardis

IEEE International Conference on Image Processing, 2009
Learning Hierarchical Compositional Representations of Object Structure

Sanja Fidler, Marko Boben and Aleš Leonardis

Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009
Online Kernel Density Estimation For Interactive Learning

Matej Kristan, Danijel Skočaj and Aleš Leonardis

Image and Vision Computing, 2009
Optimization framework for learning a hierarchical shape vocabulary for object class detection.

Sanja Fidler, Marko Boben and Aleš Leonardis

British Machine Vision Conference, 2009
Towards Probabilistic Online Discriminative Models

Matej Kristan, Danijel Skočaj and Aleš Leonardis

Eighteenth International Electrotechnical and Computer Science Conference, 2009
Tracking Non-Rigid Objects by Combining Local and Global Visual Model

Luka Čehovin Zajc, Matej Kristan and Aleš Leonardis

Proceedings of the Fourteenth Computer Vision Winter Workshop, 2009
Unsupervised Learning of Basic Object Affordances from Object Properties

B. Ridge, Danijel Skočaj and Aleš Leonardis

Proceedings of the Fourteenth Computer Vision Winter Workshop (CVWW), 2009
A system for learning basic object affordances using a self-organizing map

B. Ridge, Danijel Skočaj and Aleš Leonardis

International Conference on Cognitive Systems (CogSys 2008), 2008
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
Continuous Learning of Simple Visual Concepts using Incremental Kernel Density Estimation

Danijel Skočaj, Matej Kristan and Aleš Leonardis

International Conference on Computer Vision Theory and Applications, 2008
Hand pointing detection system for tabletop visual human-machine interaction

P. Rulić and Alen Vrečko

Proceedings of the 17. Electrotechnical and Computer Science Conference, ERK08, 2008
Hierarchical Feature Encoding for Object Recognition in Visual Sensor Networks

Vildana Sulic, Janez Perš, Matej Kristan and Stanislav Kovacic

17th International Electrotehnical and Computer Science Conference, 2008
Incremental and robust learning of subspace representations

Danijel Skočaj and Aleš Leonardis

Image vis. comput., 2008
Incremental learning with Gaussian mixture models

Matej Kristan, Danijel Skočaj and Aleš Leonardis

Computer Vision Winter Workshop, 2008
Izvedba algoritma računalniškega vida na omrežni kameri

Vildana Sulic, Janez Perš, Matej Kristan, A. Jarc, M. Perše and Stanislav Kovacic

Računalniška obdelava slik in njena uporaba v Sloveniji, 2008
Probabilistic Combination of Visual Context Based Attention and Object Detection

Roland Perko, Christian Wojek, Bernt Schiele and Aleš Leonardis

International Workshop on Attention in Cognitive Systems (WAPCV 2008), 2008
Recognition of Multi-Agent Activities with Petri Nets

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

17th International Electrotechnical and Computer Science Conference, 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
Similarity-based cross-layered hierarchical representation for object categorization.

Sanja Fidler, Marko Boben and Aleš Leonardis

IEEE Computer Vision and Pattern Recognition, 2008
Temporal Segmentation of Group Motion using Gaussian Mixture Models

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

Computer Vision Winter Workshop, 2008
Towards Learning Basic Object Affordances from Object Properties

B. Ridge, Danijel Skočaj and Aleš Leonardis

Proceedings of Eight International Conference on Epigenetic Robotics, 2008
Tracking people in video data using probabilistic models

Matej Kristan

Phd thesis, 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
Vegetation segmentation for boosting performance of MSER feature detector

Dušan Omerčević, Roland Perko, Alireza Tavakoli Targhi, Jan-Olof Eklundh and Aleš Leonardis

Computer Vision Winter Workshop, 2008
A hierarchical dynamic model for tracking in sports

Matej Kristan, Janez Perš, Aleš Leonardis and Stanislav Kovacic

Proceedings of the sixteen Electrotechnical and Computer Science Conference, ERK07, 2007
A System for Continuous Learning of Visual Concepts

Danijel Skočaj, Gregor Berginc, B. Ridge, A. Štimec, Matjaž Jogan, O. Vanek, Aleš Leonardis, M. Hutter and N. Hewes

International Conference on Computer Vision Systems ICVS 2007, 2007
Approximating Distributions Through Mixtures of Gaussians

Matej Kristan, Danijel Skočaj and Aleš Leonardis

2007
Automatic Evaluation of Organized Basketball Activity

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

Computer Vision Winter Workshop 2007, 2007
Context awareness for object detection

Roland Perko and Aleš Leonardis

Workshop of the Austrian Association for Pattern Recognition, 2007
Context Driven Focus of Attention for Object Detection

Roland Perko and Aleš Leonardis

Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint (WAPCV 2007), Springer LNAI, 2007
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors

Dušan Omerčević, Ondrej Drbohlav and Aleš Leonardis

International Conference on Computer Vision (ICCV), 2007
How Computer Vision can help in Outdoor Positioning

Ulrich Steinhoff, Dušan Omerčević, Roland Perko, Bernt Schiele and Aleš Leonardis

European Conference on Ambient Intelligence, 2007
Incremental LDA learning by combining reconstructive and discriminative approaches

M. Uray, Danijel Skočaj, P. Roth, Horst Bischof and Aleš Leonardis

British machine vision conference 2007, 2007
Interactive learning and cross-modal binding - a combined approach

H. Jacobsson, Nick Hawes, Danijel Skočaj and Geert-Jan M. Kruijff

Language and robots : proceedings of the symposium, 2007
Interaktiven sistem za kontinuirano učenje vizualnih konceptov

Danijel Skočaj, Alen Vrečko, Matej Kristan, B. Ridge, Gregor Berginc and Aleš Leonardis

Proceedings of the sixteen Electrotechnical and Computer Science Conference, ERK07, 2007
Learning hierarchical representations of object categories for robot vision.

Sanja Fidler and Aleš Leonardis

International Symposium of Robotics Research, 2007
Learning visual context for object detection

Roland Perko and Aleš Leonardis

Electrotechnical and Computer Science Conference, 2007
Probabilistic tracking using optical flow to resolve color ambiguities

Matej Kristan, Janez Perš, Aleš Leonardis and Stanislav Kovacic

Computer Vision Winter Workshop 2007, 2007
Razlike v opravljeni poti in povprečni hitrosti gibanja med različnimi tipi košarkarjev

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

Zbornik naučnih i stručnih radova, 2007
Sledenje več igralcev v športnih igrah na podlagi vizualne informacije

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

Electrotechnical Review, 2007
Tailgating Detection Using Histograms of Optical Flow

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

Proceedings of the sixteen Electrotechnical and Computer Science Conference, ERK07, 2007
Towards an Integrated Robot with Multiple Cognitive Functions

Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, H. Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc and Danijel Skočaj

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
Towards Scalable Representations of Visual Categories: Learning a Hierarchy of parts.

Sanja Fidler and Aleš Leonardis

IEEE Computer Vision and Pattern Recognition, 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
A Template-Based Multi-Player Action Recognition of the Basketball Game

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

Proceedings of the ECCV Workshop on Computer Vision Based Analysis in Sport Environments, 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
Hierarchical statistical learning of generic parts of object structure

Sanja Fidler, Gregor Berginc and Aleš Leonardis

IEEE Computer Vision and Pattern Recognition, 2006
Mobile Robots : New Research

G. Klančar, M. Lepetič, Matej Kristan and R. Karba

Nova Science Publishers, 2006
Towards fast and efficient methods for tracking players in sports

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

Proceedings of the ECCV Workshop on Computer Vision Based Analysis in Sport Environments, 2006
Uporaba lokalnih značilnic v aplikacijah spoznavnega vida za urbana okolja (Local features in cognitive vision applications for urban environments)

Dušan Omerčević, Roland Perko and Aleš Leonardis

Electrotechnical and Computer Science Conference, 2006
A hierarchy of cognitive maps from panoramic images

A. Štimec, Matjaž Jogan and Aleš Leonardis

Proceedings of the 10th Computer Vision Winter Workshop CVWW 2005, Vienna University of Technology, Institute of Computer Aided Automation; Graz: Technical University of Graz, 2005
Bayes Spectral Entropy-Based Measure of Camera Focus

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

Computer Vision Winter Workshop, 2005
Conservative visual learning for object detection with minimal hand labeling effort

P. Roth, Helmut Grabner, Danijel Skočaj, Horst Bischof and Aleš Leonardis

DAGM 2005, Lect. notes comput. sci., 2005
Multiple interacting targets tracking with application to team sports

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

International Symposium on Image and Signal Processing and Analysis, 2005
Od računalniškega vida k umetnemu spoznavnemu vidu

Danijel Skočaj and Aleš Leonardis

Zbornik petnajste mednarodne Elektrotehniške in računalniške konference ERK 2005, 2005
On-line conservative learning for person detection

P. Roth, Helmut Grabner, Danijel Skočaj, Horst Bischof and Aleš Leonardis

2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), 2005
Panoramic Volumes for Robot Localization

Matej Artač, Matjaž Jogan, Hynek Bakstein and Aleš Leonardis

IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Physics-Based Modelling of Human Motion using Kalman Filter and Collision Avoidance Algorithm

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

International Symposium on Image and Signal Processing and Analysis, 2005
Sekvenčne Monte Carlo metode za sledenje oseb v računalniškem vidu

Matej Kristan

2005
Appearance-based localization using CCA

Danijel Skočaj and Aleš Leonardis

Computer vision - CVWW '04 : proceedings of the 9 th Computer Vision Winter Workshop, Slovenian Pattern Recognition Society, 2004
Computer vision - CVWW '04 : proceedings of the 9th Computer Vision Winter Workshop

Danijel Skočaj

Slovenian Pattern Recognition Society, 2004
Entropy Based Measure of Camera Focus

Matej Kristan and F. Pernuš

Proceedings of the thirteenth Electrotechnical and Computer Science Conference, 2004
Implementacija CONDENSATION Algoritma v domeni zaprtega sveta

Matej Kristan, Janez Perš and Stanislav Kovacic

Proceedings of the thirteenth Electrotechnical and Computer Science Conference, 2004
Observing Human Motion Using Far-Infrared (FLIR) Camera -- Some Preliminary Studies

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

Proceedings of the thirteenth Electrotechnical and Computer Science Conference, 2004
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
Robust estimation of canonical correlation coefficients

Danijel Skočaj, Aleš Leonardis and Sanja Fidler

Digital imaging in media and education : 28th workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), 2004
Robustno vizualno učenje na podlagi podprostorov

Danijel Skočaj

Elektroteh. vestn., 2004
Vrednotenje učinkovitosti Kalmanovega filtra pri sledenju ljudi

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

Proceedings of the thirteenth Electrotechnical and Computer Science Conference, 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
A Framework for Robust and Incremental Self-Localization

Matjaž Jogan, Matej Artač, Danijel Skočaj and Aleš Leonardis

Proceedings 3rd Intl. Conference on Computer Vision Systems, ICVS 2003, Springer Berlin / Heidelberg, 2003
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
Robust subspace approaches to visual learning and recognition

Danijel Skočaj

2003
Sledenje objektov v robotskem nogometu

Matej Kristan

Diplomsko delo, 2003
Sledenje objektov v robotskem nogometu

Matej Kristan

2003
Weighted and robust incremental method for subspace learning

Danijel Skočaj and Aleš Leonardis

Ninth IEEE International Conference on Computer Vision ICCV 2003, 2003
A Robust PCA algorithm for building representations from panoramic images

Danijel Skočaj, Horst Bischof and Aleš Leonardis

Computer Vision -- ECCV 2002, Lecture notes in computer science, 2353, Springer, 2002
Incremental approach to robust learning of eigenspaces

Danijel Skočaj and Aleš Leonardis

Vision with non-traditional sensors, 26th Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), Österreichische Computer Gesellschaft, 2002
Incremental PCA for On-line Visual Learning and Recognition

Matej Artač, Matjaž Jogan and Aleš Leonardis

ICPR 2002, IEEE Computer Society, 2002
Mobile Robot Localization under Varying Illumination

Matjaž Jogan, Aleš Leonardis, Horst Wildenauer and Horst Bischof

ICPR 2002, IEEE Computer Society, 2002
Mobile Robot Localization using an Incremental Eigenspace Model

Matej Artač, Matjaž Jogan and Aleš Leonardis

ICRA 2002, IEEE Robotics and Automation Society, 2002
Robust continuous subspace learning and recognition

Danijel Skočaj and Aleš Leonardis

Proceedings of Eleventh International Electrotechnical and Computer Science Conference ERK 2002, IEEE Region 8, Slovenska sekcija IEEE, Ljubljana, 2002
Weighted Incremental Subspace Learning

Danijel Skočaj and Aleš Leonardis

Workshop on Cognitive Vision 2002, 2002
Parametric Eigenspace Representations of Panoramic Images

Matjaž Jogan and Aleš Leonardis

ICAR 2001 -- Omnidirectional Vision Applied to Robotic Orientation and Nondestructive Testing (NDT), IEEE Computer Society, 2001
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace Approach

Danijel Skočaj and Aleš Leonardis

Third International Conference on 3-D Digital Imaging and Modeling: proceedings, 2001
Acquiring range images of objects with non-uniform reflectance using high dynamic scale radiance maps

Danijel Skočaj and Aleš Leonardis

Confluence of computer vision and computer graphics, (NATO science series, Series 3, High technology), Kluwer Academic Publishers, 2000
Obtaining high dynamic scale radiance maps by varying illumination intensity

Danijel Skočaj and Aleš Leonardis

24th Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2000
Range image acquisition of objects with non-uniform albedo using structured light range sensor

Danijel Skočaj and Aleš Leonardis

15th International Conference on Pattern Recognition, ICPR 2000, 2000
Robust Localization using Eigenspace of Spinning-Images

Matjaž Jogan and Aleš Leonardis

IEEE Workshop on Omnidirectional Vision, IEEE Computer Society, 2000
Robust Localization using Panoramic View-Based Recognition

Matjaž Jogan and Aleš Leonardis

15th International Conference on Pattern Recognition, IEEE Computer Society, 2000
Avtomatsko modeliranje 3-dimenzionalnih veèbarvnih predmetov z uporabo globinskega senzorja

Danijel Skočaj

1999
Panoramic Eigenimages for Spatial Localisation

Matjaž Jogan and Aleš Leonardis

8-th International Conference on Computer Analysis of Images and Patterns, Springer Berlin / Heidelberg, 1999
Testing computer vision algorithms over World Wide Web

Danijel Skočaj, A. Jaklič, Aleš Leonardis and F. Solina

Pattern recognition 1997 : proceedings of the 21st Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 1997

Publication types