Glavni raziskovalni temi: računalniški vid, biometrija.
Soorganizator tekmovanja Sclera Segmentation Benchmarking Competition @ 2020 IEEE/IAPR International Joint Conference on Biometrics.
Soorganizator tekmovanja Unconstrained Ear Recognition Challenge @ 2019 IAPR International Conference on Biometrics.
Sourednik posebne številke @ IEEE Access (2020): Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications.
Sourednik posebne številke @ Applied Sciences (2021): Deep Image Semantic Segmentation and Recognition.
Področni urednik @ IEEE Access & IET Biometrics.
Koordinator dvojnega študijskega programa s Kyungpook National University, Južna Koreja.
Doktorski študentje:
Zmaga na tekmovanju Sclera Segmentation and Eye Recognition Benchmarking Competition @ 2017 IEEE/IAPR International Joint Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).
Zmaga na tekmovanju Sclera Segmentation Benchmarking Competition @ 2018 IAPR International Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).
(selected journal publications with impact factor (SCI))
B. Batagelj, P. Peer, V, Štruc, S. Dobrišek, How to Correctly Detect Face-Masks for COVID-19 from Visual Information?, Applied Sciences, 2021.
T. Oblak, J. Šircelj, V. Štruc, P. Peer, F. Solina, A. Jaklič, Learning to predict superquadric parameters from depth images with explicit and implicit supervision, IEEE Access, 2021.
M. Vitek, P. Rot, V. Štruc, P. Peer, A comprehensive investigation into sclera biometrics: a novel dataset and performance study, Neural computing & applications, 2020.
J. Križaj, P. Peer, V. Štruc, S. Dobrišek, Simultaneous multi-descent regression and feature learning for facial landmarking in depth images, Neural Computing and Applications, 2019.
Ž. Emeršič, B. Meden, P. Peer, V. Štruc, Evaluation and analysis of ear recognition models: performance, complexity and resource requirement, Neural Computing and Applications, 2018.
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