Publications in ViCoS

• Teaching with open-source robotic manipulator

  Luka Čehovin Zajc, Anže Rezelj, and Danijel Skočaj

  Robotics in Education (RiE 2018), 2018
• Depth Fingerprinting for Obstacle Tracking using 3D Point Cloud

  Jon Muhovic, Rok Mandeljc, Borja Bovcon, and Janez Perš

  Computer vision winter workshop, 2018
• 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
• 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
• 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
• 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
• 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
• 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
• Towards Deep Compositional Networks

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

  23rd International Conference on Pattern Recognition, 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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