Domen Tabernik

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Compressed Images

Sign Detection And Recognition

Locally Adaptive

Unsupervised Learning

Top Venues

Pattern Recognit.

Int. J. Comput. Vis.

Publications

Domen Tabernik, Jon Muhovic, Danijel Skocaj
Dense center-direction regression for object counting and localization with point supervision. Pattern Recognit. 153 (2024)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
Mixed supervision for surface-defect detection: From weakly to fully supervised learning. Comput. Ind. 129 (2021)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
Mixed supervision for surface-defect detection: from weakly to fully supervised learning. CoRR (2021)
Domen Tabernik, Danijel Skocaj
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. IEEE Trans. Intell. Transp. Syst. 21 (4) (2020)
Aleksej Avramovic, Davor Sluga, Domen Tabernik, Danijel Skocaj, Vladan Stojnic, Nejc Ilc
Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization. IEEE Access 8 (2020)
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
Segmentation-based deep-learning approach for surface-defect detection. J. Intell. Manuf. 31 (3) (2020)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
End-to-end training of a two-stage neural network for defect detection. ICPR (2020)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
End-to-end training of a two-stage neural network for defect detection. CoRR (2020)
Marija Ivanovska, Janez Pers, Domen Tabernik, Danijel Skocaj
Evaluation of Anomaly Detection Algorithms for the Real-World Applications. ICPR (2020)
Domen Tabernik, Matej Kristan, Ales Leonardis
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. Int. J. Comput. Vis. 128 (8) (2020)
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection. CoRR (2019)
Domen Tabernik, Matej Kristan, Ales Leonardis
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. CoRR (2019)
Domen Tabernik, Danijel Skocaj
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. CoRR (2019)
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
Deep-Learning-Based Computer Vision System for Surface-Defect Detection. ICVS (2019)
Domen Tabernik, Matej Kristan, Ales Leonardis
Spatially-Adaptive Filter Units for Deep Neural Networks. CVPR (2018)
Domen Tabernik, Matej Kristan, Ales Leonardis
Spatially-Adaptive Filter Units for Deep Neural Networks. CoRR (2017)
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
Towards deep compositional networks. ICPR (2016)
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
Towards Deep Compositional Networks. CoRR (2016)
Domen Tabernik, Ales Leonardis, Marko Boben, Danijel Skocaj, Matej Kristan
Adding discriminative power to a generative hierarchical compositional model using histograms of compositions. Comput. Vis. Image Underst. 138 (2015)
Matej Kristan, Marko Boben, Domen Tabernik, Ales Leonardis
Adding Discriminative Power to Hierarchical Compositional Models for Object Class Detection. SCIA (2013)
Domen Tabernik, Luka Cehovin, Matej Kristan, Marko Boben, Ales Leonardis
A Web-Service for Object Detection Using Hierarchical Models. ICVS (2013)
Domen Tabernik, Matej Kristan, Marko Boben, Ales Leonardis
Learning statistically relevant edge structure improves low-level visual descriptors. ICPR (2012)