| Segmentation-based deep-learning approach for surface-defect detection D Tabernik, S Šela, J Skvarč, D Skočaj Journal of Intelligent Manufacturing 31 (3), 759-776, 2020 | 639 | 2020 |
| Deep learning for large-scale traffic-sign detection and recognition D Tabernik, D Skočaj IEEE transactions on intelligent transportation systems 21 (4), 1427-1440, 2019 | 306 | 2019 |
| Mixed supervision for surface-defect detection: From weakly to fully supervised learning J Božič, D Tabernik, D Skočaj Computers in Industry 129, 103459, 2021 | 176 | 2021 |
| End-to-end training of a two-stage neural network for defect detection J Božič, D Tabernik, D Skočaj 2020 25th International conference on pattern recognition (ICPR), 5619-5626, 2021 | 66 | 2021 |
| Neural-network-based traffic sign detection and recognition in high-definition images using region focusing and parallelization A Avramović, D Sluga, D Tabernik, D Skočaj, V Stojnić, N Ilc IEEE Access 8, 189855-189868, 2020 | 44 | 2020 |
| Spatially-adaptive filter units for compact and efficient deep neural networks D Tabernik, M Kristan, A Leonardis International Journal of Computer Vision 128 (8), 2049-2067, 2020 | 21 | 2020 |
| Towards deep compositional networks D Tabernik, M Kristan, JL Wyatt, A Leonardis International Conference on Pattern Recognition 2016 (ICPR), 2016 | 19 | 2016 |
| Real-time large scale traffic sign detection A Avramović, D Tabernik, D Skočaj 2018 14th Symposium on Neural Networks and Applications (NEUREL), 1-4, 2018 | 15 | 2018 |
| Spatially-Adaptive Filter Units for Deep Neural Networks D Tabernik, M Kristan, A Leonardis Computer Vision and Pattern Recognition 2018 (CVPR), 9388-9396, 2018 | 12 | 2018 |
| Learning statistically relevant edge structure improves low-level visual descriptors D Tabernik, M Kristan, M Boben, A Leonardis 21st International Conference on Pattern Recognition (ICPR), 2012, 1471-1474, 2012 | 12 | 2012 |
| Room categorization based on a hierarchical representation of space P Uršič, D Tabernik, M Boben, D Skočaj, A Leonardis, M Kristan International Journal of Advanced Robotic Systems 10 (2), 94, 2013 | 9 | 2013 |
| Deep-learning-based computer vision system for surface-defect detection D Tabernik, S Šela, J Skvarč, D Skočaj Computer Vision Systems: 12th International Conference, ICVS 2019 …, 2019 | 7 | 2019 |
| Adding discriminative power to a generative hierarchical compositional model using histograms of compositions D Tabernik, A Leonardis, M Boben, D Skočaj, M Kristan Computer Vision and Image Understanding 138, 102-113, 2015 | 7 | 2015 |
| Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network D Tabernik, M Šuc, D Skočaj Construction and Building Materials 408, 133582, 2023 | 5 | 2023 |
| Adding discriminative power to hierarchical compositional models for object class detection M Kristan, M Boben, D Tabernik, A Leonardis Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013 | 5 | 2013 |
| Evaluation of performance of smart mobile devices in machine vision tasks D Skocaj, D Tabernik, D Racki, M Hegedic, A Vrecko, M Kristan Proc. Comput. Vis. Winter Workshop, 2014 | 3 | 2014 |
| A web-service for object detection using hierarchical models D Tabernik, L Čehovin, M Kristan, M Boben, A Leonardis Computer Vision Systems: 9th International Conference, ICVS 2013, St …, 2013 | 3 | 2013 |
| Vicos eye-a webservice for visual object categorization D Tabernik, L Čehovin, M Kristan, M Boben, A Leonardis Proc. of the 18th Computer Vision Winter Workshop, 2013 | 3 | 2013 |
| Evaluation of anomaly detection algorithms for the real-world applications M Ivanovska, J Perš, D Tabernik, D Skočaj 2020 25th International Conference on Pattern Recognition (ICPR), 6196-6203, 2021 | 2 | 2021 |
| Detekcija napak na površinah z uporabo anotiranih slik in globokim ucenjem D Tabernik, D Skocaj Proceedings of the 26th International Electrotechnical and Computer Science …, 2017 | 1 | 2017 |
