Content for tag _Mk_c_selected:

Publications - 28

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 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
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
A Low-Shot Object Counting Network With Iterative Prototype Adaptation

Nikola Djukic, Alan Lukežič, Vitjan Zavrtanik and Matej Kristan

ICCV2023, 2023
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark

Lojze Žust, Janez Perš and Matej Kristan

ICCV 2023, 2023
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding

Lojze Žust and Matej Kristan

WACV 2022, 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
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

Vitjan Zavrtanik, Matej Kristan and Danijel Skočaj

ICCV 2021, 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
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
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
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
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
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
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
Spatially-Adaptive Filter Units for Deep Neural Networks

Domen Tabernik, Matej Kristan and Aleš Leonardis

Computer Vision and Pattern Recognition, 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
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
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
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
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
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
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