Publications

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2022

Gan, Chenquan; Yang, Yucheng; Zhub, Qingyi; Jain, Deepak Kumar; Struc, Vitomir

DHF-Net: A hierarchical feature interactive fusion network for dialogue emotion recognition Journal Article

In: Expert Systems with Applications, vol. 210, 2022.

Abstract | Links | BibTeX | Tags: attention, CNN, deep learning, dialogue, emotion recognition, fusion, fusion network, nlp, semantics, text, text processing

Tomašević, Darian; Peer, Peter; Štruc, Vitomir

BiOcularGAN: Bimodal Synthesis and Annotation of Ocular Images Inproceedings

In: IEEE/IAPR International Joint Conference on Biometrics (IJCB 2022) , pp. 1-10, 2022.

Abstract | Links | BibTeX | Tags: biometrics, CNN, data synthesis, deep learning, ocular, segmentation, StyleGAN, synthetic data

Šircelj, Jaka; Peer, Peter; Solina, Franc; Štruc, Vitomir

Hierarchical Superquadric Decomposition with Implicit Space Separation Inproceedings

In: Proceedings of ERK 2022, pp. 1-4, 2022.

Abstract | Links | BibTeX | Tags: CNN, deep learning, depth estimation, iterative procedure, model fitting, recursive model, superquadric, superquadrics, volumetric primitive

Babnik, Žiga; Štruc, Vitomir

Iterativna optimizacija ocen kakovosti slikovnih podatkov v sistemih za razpoznavanje obrazov Inproceedings

In: Proceedings of ERK 2022, pp. 1-4, 2022.

Abstract | Links | BibTeX | Tags: CNN, face image quality estimation, face quality, face recognition, optimization, supervised quality estimation

Tomašecić, Darian; Peer, Peter; Solina, Franc; Jaklič, Aleš; Štruc, Vitomir

Reconstructing Superquadrics from Intensity and Color Images Journal Article

In: Sensors, vol. 22, iss. 4, no. 5332, 2022.

Abstract | Links | BibTeX | Tags: arrs, CNN, depth data, depth estimation, depth sensing, intensity images, superquadric, superquadrics

Dvoršak, Grega; Dwivedi, Ankita; Štruc, Vitomir; Peer, Peter; Emeršič, Žiga

Kinship Verification from Ear Images: An Explorative Study with Deep Learning Models Inproceedings

In: International Workshop on Biometrics and Forensics (IWBF), pp. 1–6, 2022.

Abstract | Links | BibTeX | Tags: biometrics, CNN, deep learning, ear, ear biometrics, kinear, kinship, kinship recognition, transformer

Jug, Julijan; Lampe, Ajda; Štruc, Vitomir; Peer, Peter

Body Segmentation Using Multi-task Learning Inproceedings

In: International Conference on Artificial Intelligence in Information and Communication (ICAIIC), IEEE, 2022, ISBN: 978-1-6654-5818-4.

Abstract | Links | BibTeX | Tags: body segmentation, cn, CNN, computer vision, deep beauty, deep learning, multi-task learning, segmentation, virtual try-on

2021

Grm, Klemen; Vitomir, Štruc

Frequency Band Encoding for Face Super-Resolution Inproceedings

In: Proceedings of ERK 2021, pp. 1-4, 2021.

Abstract | Links | BibTeX | Tags: CNN, deep learning, face, face hallucination, frequency encoding, super-resolution

Pevec, Klemen; Grm, Klemen; Štruc, Vitomir

Benchmarking Crowd-Counting Techniques across Image Characteristics Journal Article

In: Elektorethniski Vestnik, vol. 88, iss. 5, pp. 227-235, 2021.

Abstract | Links | BibTeX | Tags: CNN, crowd counting, drones, image characteristics, model comparison, neural networks

2020

Bortolato, Blaž; Ivanovska, Marija; Rot, Peter; Križaj, Janez; Terhorst, Philipp; Damer, Naser; Peer, Peter; Štruc, Vitomir

Learning privacy-enhancing face representations through feature disentanglement Inproceedings

In: Proceedings of FG 2020, IEEE, 2020.

Abstract | Links | BibTeX | Tags: autoencoder, biometrics, CNN, disentaglement, face recognition, PFRNet, privacy, representation learning

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

Stepec, Dejan; Emersic, Ziga; Peer, Peter; Struc, Vitomir

Constellation-Based Deep Ear Recognition Incollection

In: Jiang, R.; Li, CT.; Crookes, D.; Meng, W.; Rosenberger, C. (Ed.): Deep Biometrics: Unsupervised and Semi-Supervised Learning, Springer, 2020, ISBN: 978-3-030-32582-4.

Abstract | Links | BibTeX | Tags: biometrics, CNN, deep learning, ear recognition, neural networks

Grm, Klemen; Scheirer, Walter J.; Štruc, Vitomir

Face hallucination using cascaded super-resolution and identity priors Journal Article

In: IEEE Transactions on Image Processing, 2020.

Abstract | Links | BibTeX | Tags: biometrics, CNN, computer vision, deep learning, face, face hallucination, super-resolution

Vitek, Matej; Rot, Peter; Struc, Vitomir; Peer, Peter

A comprehensive investigation into sclera biometrics: a novel dataset and performance study Journal Article

In: Neural Computing and Applications, pp. 1-15, 2020.

Abstract | Links | BibTeX | Tags: biometrics, CNN, dataset, multi-view, ocular, performance study, recognition, sclera, segmentation, visible light

2019

Rot, Peter; Vitek, Matej; Grm, Klemen; Emeršič, Žiga; Peer, Peter; Štruc, Vitomir

Deep Sclera Segmentation and Recognition Incollection

In: Uhl, Andreas; Busch, Christoph; Marcel, Sebastien; Veldhuis, Rainer (Ed.): Handbook of Vascular Biometrics, pp. 395-432, Springer, 2019, ISBN: 978-3-030-27731-4.

Abstract | Links | BibTeX | Tags: biometrics, CNN, deep learning, ocular, sclera, segmentation, vasculature

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

2016

Stržinar, Žiga; Grm, Klemen; Štruc, Vitomir

Učenje podobnosti v globokih nevronskih omrežjih za razpoznavanje obrazov Inproceedings

In: Proceedings of the Electrotechnical and Computer Science Conference (ERK), Portorož, Slovenia, 2016.

Abstract | Links | BibTeX | Tags: biometrics, CNN, deep learning, difference space, face verification, LFW, performance evaluation

Grm, Klemen; Dobrišek, Simon; Štruc, Vitomir

Deep pair-wise similarity learning for face recognition Inproceedings

In: 4th International Workshop on Biometrics and Forensics (IWBF), pp. 1–6, IEEE 2016.

Abstract | Links | BibTeX | Tags: CNN, deep learning, face recognition, IJB-A, IWBF, performance evaluation, similarity learning

2015

Grm, Klemen; Dobrišek, Simon; Štruc, Vitomir

The pose-invariant similarity index for face recognition Inproceedings

In: Proceedings of the Electrotechnical and Computer Science Conference (ERK), Portorož, Slovenia, 2015.

BibTeX | Tags: biometrics, CNN, deep learning, deep models, face verification, similarity learning