Domen Tabernik

According to our database, Domen Tabernik authored at least 14 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Mixed supervision for surface-defect detection: From weakly to fully supervised learning.

Jakob Bozic, Domen Tabernik, Danijel Skocaj

Comput. Ind., 2021

2020

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition.

Domen Tabernik, Danijel Skocaj

IEEE Trans. Intell. Transp. Syst., 2020

Segmentation-based deep-learning approach for surface-defect detection.

Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj

J. Intell. Manuf., 2020

Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks.

Domen Tabernik, Matej Kristan, Ales Leonardis

Int. J. Comput. Vis., 2020

Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization.

Aleksej Avramovic, Davor Sluga, Domen Tabernik, Danijel Skocaj, Vladan Stojnic, Nejc Ilc

IEEE Access, 2020

Evaluation of Anomaly Detection Algorithms for the Real-World Applications.

Marija Ivanovska, Janez Pers, Domen Tabernik, Danijel Skocaj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

End-to-end training of a two-stage neural network for defect detection.

Jakob Bozic, Domen Tabernik, Danijel Skocaj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Deep-Learning-Based Computer Vision System for Surface-Defect Detection.

Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj

Proceedings of the Computer Vision Systems, 12th International Conference, 2019

2018

Spatially-Adaptive Filter Units for Deep Neural Networks.

Domen Tabernik, Matej Kristan, Ales Leonardis

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Towards deep compositional networks.

Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Adding discriminative power to a generative hierarchical compositional model using histograms of compositions.

Domen Tabernik, Ales Leonardis, Marko Boben, Danijel Skocaj, Matej Kristan

Comput. Vis. Image Underst., 2015

2013

Adding Discriminative Power to Hierarchical Compositional Models for Object Class Detection.

Matej Kristan, Marko Boben, Domen Tabernik, Ales Leonardis

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

A Web-Service for Object Detection Using Hierarchical Models.

Domen Tabernik, Luka Cehovin, Matej Kristan, Marko Boben, Ales Leonardis

Proceedings of the Computer Vision Systems - 9th International Conference, 2013

2012

Learning statistically relevant edge structure improves low-level visual descriptors.

Domen Tabernik, Matej Kristan, Marko Boben, Ales Leonardis

Proceedings of the 21st International Conference on Pattern Recognition, 2012