Publications by Domen Tabernik

• Mixed supervision for surface-defect detection: from weakly to fully supervised learning

  Jakob Božič, Domen Tabernik, and Danijel Skočaj

  Computers in Industry, Elsevier, 2021
• 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
• Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

  Domen Tabernik and Danijel Skočaj

  Transactions on Intelligent Transportation Systems, IEEE, 2019
• 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
• 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
• O klasifikaciji slik v ne-enolično določljive razrede

  Jon Natanael Muhovič, Domen Tabernik, and Danijel Skočaj

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

  Jakob Božič, Domen Tabernik, and Danijel Skočaj

  ICPR, 2020
• 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
• Spatially-Adaptive Filter Units for Deep Neural Networks

  Domen Tabernik, Matej Kristan, and Aleš Leonardis

  Computer Vision and Pattern Recognition, 2018
• Improving Traffic Sign Detection with Temporal Information

  Domen Tabernik, Jon Muhovic, Alan Lukežič, and Danijel Skočaj

  Proceedings of the 23rd Computer Vision Winter Workshop, 2018
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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