Publications by Matej Kristan

• Online Kernel Density Estimation For Interactive Learning

  Matej Kristan, Danijel Skočaj, and Aleš Leonardis

  Image and Vision Computing, 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
• 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
• Sledenje več igralcev v športnih igrah na podlagi vizualne informacije

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

  Electrotechnical Review, 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
• 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
• 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
• 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

  CVPR2024, IEEE, 2024
• Anomalous Sound Detection by Feature-Level Anomaly Simulation

  Vitjan Zavrtanik, Matija Marolt, Matej Kristan, and Danijel Skočaj

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

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  WACV 2024, 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
• 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
• 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
• The Tenth Visual Object Tracking VOT2022 Challenge Results

  Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc et al.

  ECCV Workshops 2022, 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
• Temporal Context for Robust Maritime Obstacle Detection

  Lojze Žust and Matej Kristan

  IROS 2022, 2022