Publications

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2020

Šircelj, Jaka; Oblak, Tim; Grm, Klemen; Petković, Uroš; Jaklič, Aleš; Peer, Peter; Štruc, Vitomir; Solina, Franc

Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks Inproceedings

In: 25th Computer Vision Winter Workshop (CVWW 2020), 2020.

Abstract | Links | BibTeX | Tags: CNN, convolutional neural networks, segmentation, superquadrics, volumetric data

2019

Oblak, Tim; Grm, Klemen; Jaklič, Aleš; Peer, Peter; Štruc, Vitomir; Solina, Franc

Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study Inproceedings

In: 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), pp. 45-52, IEEE, 2019.

Abstract | Links | BibTeX | Tags: CNN, convolutional neural networks, superquadrics, volumetric data

2018

Lozej, Juš; Meden, Blaž; Struc, Vitomir; Peer, Peter

End-to-end iris segmentation using U-Net Inproceedings

In: 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), pp. 1–6, IEEE 2018.

Abstract | Links | BibTeX | Tags: biometrics, CNN, convolutional neural networks, iris, ocular, U-net

2017

Emeršič, Žiga; Štepec, Dejan; Štruc, Vitomir; Peer, Peter

Training convolutional neural networks with limited training data for ear recognition in the wild Inproceedings

In: IEEE International Conference on Automatic Face and Gesture Recognition, Workshop on Biometrics in the Wild 2017, 2017.

Abstract | Links | BibTeX | Tags: CNN, convolutional neural networks, ear, ear recognition, limited data, model learning

Grm, Klemen; Štruc, Vitomir; Artiges, Anais; Caron, Matthieu; Ekenel, Hazim K.

Strengths and weaknesses of deep learning models for face recognition against image degradations Journal Article

In: IET Biometrics, vol. 7, no. 1, pp. 81–89, 2017.

Abstract | Links | BibTeX | Tags: CNN, convolutional neural networks, face recognition, googlenet, study, vgg