Short biography: SciProfiles.
Main research topics: computer vision, biometrics.
Current highlights:
Associate editor @ IEEE Access & IET Biometrics, topics editor @ MDPI Applied Sciences.
Coordinator of the double degree study programme with the Kyungpook National University, South Korea.
Member of the Faculty management board (2018-).
Member of the Faculty senate (2021-).
Some past highlights:
Vice-dean for economic affairs (2018-2022).
Special issue co-guest editor @ Applied Sciences (2021-22): Deep Image Semantic Segmentation and Recognition.
Guest professor @ the North-Caucasus Federal University, Russia, 2020-21.
Co-organizer of the Sclera Segmentation Benchmarking Competition @ 2020 IEEE/IAPR International Joint Conference on Biometrics.
Co-organizer of the Unconstrained Ear Recognition Challenge @ 2019 IAPR International Conference on Biometrics & 2017 IAPR/IEEE International Joint Conference on Biometrics.
Special issue co-guest editor @ IEEE Access (2020): Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications.
Special issue co-guest editor @ IET Biometrics (2018): Unconstrained Ear Recognition.
Guest professor @ the Kyungpook National University, South Korea, 6-7/2017.
Invited researcher @ CEIT institute & their spin-off Asiris Vision Technologies SA, Spain, 2004-5.
Doctoral students:
Feb. 2023, Privacy–Enhancing Face Biometrics: A Comprehensive Survey has been identified as being one of the IEEE Signal Processing Society’s top 25 downloaded articles from Sep. 2021-Sep. 2022 for IEEE Transactions on Information Forensics and Security on IEEE Xplore.
Winner of the SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data @ 2022 IEEE/IAPR International Joint Conference on Biometrics (Ivanovska, Batagelj, Kronovšek, Peer, Štruc).
Best reviewer @ 2021 IEEE/IAPR International Joint Conference on Biometrics.
Winner of the Sclera Segmentation Benchmarking Competition @ 2018 IAPR International Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).
Best theoretical paper award @ IEEE IWOBI 2018: Analysis of content-aware image compression with VGG16 (Selimović, Meden, Peer, Hladnik).
Winner of the Sclera Segmentation and Eye Recognition Benchmarking Competition @ 2017 IEEE/IAPR International Joint Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).
Best student paper award @ IFMBE MEDICON 2007: Using computer vision in a rehabilitation method of a human hand (Katrašnik, Veber, Peer).
Student Faculty Prešeren award, 1998.
My doctoral students awards:
Žiga Emeršič: University award for young university teachers and researchers, 2022.
Tim Oblak: Faculty research award for PhD students, 2022.
Benjamin Fele, Ajda Lampe: Faculty research award for PhD students, 2022.
Žiga Emeršič: European Association for Biometrics - Max Snijder award (& Best presentation award), 2021.
Tim Oblak: student Faculty Prešeren award, 2021.
Blaž Meden, Peter Rot: Faculty research award for PhD students, 2021.
Peter Rot: student University Prešeren award, 2018.
Žiga Emeršič: Faculty research award for PhD students, 2017.
(selected journal publications with impact factor (SCI))
S. Kumar, S. Singh, P. Peer, Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor, Image and Vision Computing, 2023.
A. Hrovatič, P. Peer, V. Štruc, Ž. Emeršič, Efficient ear alignment using a two-stack hourglass network, IET Biometrics (accepted for publication), 2023.
M. Vitek, P. Peer, V. Štruc, et al., Exploring bias in sclera segmentation models: a group evaluation approach, IEEE transactions on information forensics and security, 2022.
D. Tomašević, P. Peer, F. Solina, A. Jaklič, V. Štruc, Reconstructing superquadrics from intensity and color images, Sensors, 2022.
T. Oblak, R. Haraksim, P. Peer, L. Beslay, Fingermark quality assessment framework with classic and deep learning ensemble models, Knowledge-Based Systems, 2022.
Ž. Emeršič, D. Sušanj, B. Meden, P. Peer, V. Štruc, ContexedNet: context-aware ear detection in unconstrained settings, IEEE Access, 2021.
B. Meden, P. Rot, P. Terhörst, N. Damer, A. Kuijper, W. J. Scheirer, A. Ross, P. Peer, V. Štruc, Privacy–Enhancing Face Biometrics: A Comprehensive Survey, IEEE Transactions on Information Forensics and Security, 2021.
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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