Peter Peer

Description

Short biography: SciProfiles.

Main research topics: computer vision, biometrics.

Current highlights:

Head of the Computer Vision Laboratory.

Executive editor @ ICT Express, 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:

Co-organizer of the Unconstrained Ear Recognition Challenge @ 2023 IEEE/IAPR International Joint Conference on Biometrics, 2019 IAPR International Conference on Biometrics & 2017 IAPR/IEEE International Joint Conference on Biometrics.

Co-organizer of the Sclera Segmentation and Recognition Benchmarking Competition @ 2023 IEEE/IAPR International Joint Conference on Biometrics.

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.

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:

Andrej Ikica: Text detection in natural scene images (2009-2013)
Jure Kovač: Gait recognition (2010-2014)
Žiga Emeršič: Ear recognition (2015-2021)
Blaž Meden: Face deidentification (2016-2023)
Matej Vitek: Sclera recognition (2018-2024)
Peter Rot: Face privacy preservation (2019-)
Tim Oblak: Fingermarks quality assessment (2020-) (with European Comission Joint Research Center, Ispra, Italy)
Ajda Lampe: Virtual try-on (2021-)
Nicolas Larue: Deep-fakes detection (2021-) (within EUTOPIA university alliance)
Darian Tomašević: Artificial generation of photorealistic images of biometrical modalities due to privacy concern (2022-)

Awards

eDifFIQA method won at NIST FATE (Kiosk-to-Entry) evaluation, 4/2025 (Babnik, Peer, Štruc). (It is available in OpenCV Model Zoo and on GitHub LSIbabnikz/eDifFIQA.)

3rd place @ 1M-Deepfakes Detection Challenge @ ACM Multimedia 2024 (Dragar, Rot, Peer, Štruc, Batagelj).

3rd place @ Latent in the Wild Fingerprint Recognition Competition @ 2024 IEEE/IAPR International Joint Conference on Biometrics (Oblak, Anžur, Peer).

March 2024, Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach is one of the IEEE Signal Processing Society’s top 25 downloaded articles from Sep. 2022-Sep. 2023 for IEEE Transactions on Information Forensics and Security on IEEE Xplore.

Outstanding student paper award @ MIPRO 2023: Keeping Drivers Alert: A Solution for Monitoring Driver Attention in Assisted-Driving Vehicles (Jutreša, Peer, Emeršič, Kim).

3rd place @ DeepFake Game Competition on Visual Realism Assessment @ 2023 IEEE/IAPR International Joint Conference on Biometrics (Dragar, Peer, Štruc, Batagelj).

Feb. 2023, Privacy–Enhancing Face Biometrics: A Comprehensive Survey is 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).

Top 20 cited papers (ranked #7) in 2021 in the section "Computing and Artificial Intelligence" @ Applied Sciences.

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:

Peter Rot: European Association for Biometrics - Biometrics Research Award (& best presentation award), 2024.

Nicolas Larue: Faculty research award for PhD students, 2023.

Matej Vitek: Faculty research award for PhD students, 2023.

Darian Tomašević: student Faculty Prešeren award, 2023.

Blaž Meden: European Association for Biometrics - Biometrics Industry Award (& best presentation award), 2023.

Žiga Emeršič: Slovenian Pattern Recognition Association award for a high-profile doctoral dissertation, 2023.

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.

Classes

Laboratory

Projects

AIM@VET - Artificial Intelligence learning Modules to adapt VET to the digital transformation of the labour market
(AIM@VET), 01.09.2022 - 31.07.2025
J2-50065 - Odkrivanje globokih ponaredkov z metodami zaznave anomalij (DeepFake DAD)
Research projects ARRS(J2-50065), 01.10.2023 - 30.09.2026
J2-50069 - Interpretacija mehanizmov za razložljivo biometrično umetno inteligenco (MIXBAI)
Research projects ARRS(J2-50069), 01.10.2023 - 30.09.2026

Past projects

Computer Vision
ARRS research programmes01.01.2009 - 31.12.2014
Computer Vision
ARRS research programmes01.01.2015 - 31.12.2018
KC CLASS - Cloud Assisted Services
Projects Structural Funds(KC CLASS), 01.01.2011 - 31.12.2013
KC OPCOMM - Open Communication Platform for Service Integration
Projects Structural Funds(KC OPCOMM), 01.01.2011 - 31.12.2013
Priprava prototpov in izvedba delavnic
03.07.2017 - 31.12.2018
Segmentation and recovery of superquadrics
Research projects ARRS01.07.2018 - 30.06.2021
Sofinanciranje delovnega mesta #2 - KC CLASS in OPCOMM
10.12.2010 - 31.08.2012
Sofinanciranje delovnega mesta #1 - KC CLASS in OPCOMM
10.12.2010 - 31.12.2013
Projekt APPENERATOR - generator mobilnih aplikacij
10.12.2013 - 26.06.2014
VITEK MATEJ - MATEJ VITEK - Young Researcher
Research projects ARRS(VITEK MATEJ), 01.10.2018 - 30.09.2022
P2-0214 - Computer Vision
ARRS research programmes(P2-0214), 01.01.2019 - 31.12.2024
J2-1734 - Deidentifikacija obrazov z globokimi generativnimi modeli (FaceGEN)
Research projects ARRS(J2-1734), 01.07.2019 - 30.06.2022
J2-2501 - Globoki generativni modeli za lepotno in modno industrijo (DeepBeauty)
Research projects ARRS(J2-2501), 01.09.2020 - 31.08.2023
Svetovalne storitve
16.10.2020 - 16.10.2021
BI-IN/22-24-009 - Thermo-Visible Deep Multimodal Ocular Biometric Recognition and Facial Thermal Profiling in Covid-19 Reality
Bilateral projects(BI-IN/22-24-009), 01.01.2022 - 31.12.2024

Publications

(selected publications, mostly journal publications with impact factor (SCI) - up to Jul. 2024)

(for up to date publications see Google Scholar)

M. Vitek, V. Štruc, P. Peer, GazeNet: a lightweight multitask sclera feature extractor, Alexandria Engineering Journal, 2024.
D. Tomašević, F. Boutros, N. Damer, P. Peer, V. Štruc, Generating bimodal privacy-preserving data for face recognition, Engineering Applications of Artificial Intelligence, 2024.
Ž. Babnik, P. Peer, V. Štruc, eDifFIQA: Towards Efficient Face Image Quality Assessment Based On Denoising Diffusion Probabilistic Models, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024.
P. Rot, K. Grm, P. Peer, V. Štruc, PrivacyProber: assessment and selection of soft–biometric privacy–enhancing techniques, IEEE Transactions on Dependable and Secure Computing, 2023.
Ž. Babnik, P. Peer, V. Štruc, DifFIQA: Face image quality assessment using denoising diffusion probabilistic models, IEEE International Joint Conference on Biometrics (IJCB), 2023.
M. Vitek, M. Bizjak, P. Peer, V. Štruc, IPAD: Iterative Pruning with Activation Deviation for sclera biometrics, Journal of King Saud University - Computer and Information Sciences, 2023.
M. Pernuš, M. Bhatnagar, B. Samad, D. Singh, P. Peer, V. Štruc, S. Dobrišek, ChildNet: structural kinship face synthesis model with appearance control mechanisms, IEEE Access, 2023.
B. Meden, M. Gonzalez-Hernandez, P. Peer, V. Štruc, Face deidentification with controllable privacy protection, Image and Vision Computing, 2023.
N. Larue, N. S. Vu, V. Štruc, P. Peer, V. Christophides, Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes, IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
R. Plesh, P .Peer, V. Štruc, GlassesGAN: Eyewear personalization using synthetic appearance discovery and targeted subspace modeling, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
T. Oblak, R. Haraksim, L. Beslay, P. Peer, Probabilistic fingermark quality assessment with quality region localisation, Sensors, 2023.
M. F. Ansari, P. Kasprowski, P. Peer, Person-specific gaze estimation from low-quality webcam images, Sensors, 2023.
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, 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, V. Štruc, BiOcularGAN: Bimodal synthesis and annotation of ocular images, IEEE International Joint Conference on Biometrics (IJCB), 2022.
Ž. Babnik, P. Peer, V. Štruc, FaceQAN: Face image quality assessment through adversarial noise exploration, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 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.
B. Fele, A. Lampe, P. Peer, V. Štruc, C-vton: Context-driven image-based virtual try-on network, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 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.
Ž. Emeršič, L. L. Gabriel, V. Štruc, P. Peer, Convolutional Encoder-Decoder Networks for Pixel-wise Ear Detection and Segmentation, IET Biometrics, 2018.
B. Meden, Ž. Emeršič, V. Štruc, P. Peer, k-Same-Net: k-Anonymity with generative deep neural networks for face deidentification, Entropy, 2018.
J. Kovač, V. Štruc, P. Peer, Frame-based classification for cross-speed gait recognition, Multimedia Tools and Applications, 2017.
Ž. Emeršič, D. Štepec, V. Štruc, P. Peer, Training convolutional neural networks with limited training data for ear recognition in the wild, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2017.
B. Meden, R. C. Mallı, S. Fabijan, H. K. Ekenel, V. Štruc, P. Peer, Face Deidentification with Generative Deep Neural Networks, IET Signal Processing, 2017.
N. Sušin, P. Peer, Open-source tool for interactive digitization of pluviograph strip charts, Weather, 2017.
Ž. Emeršič, V. Štruc, P. Peer, Ear recognition: more than a survey, Neurocomputing, 2017.
A. Jaklič, L. Šajn, G. Derganc, P. Peer, Automatic digitization of pluviograph strip charts, Meteorological Applications 23(1), pp. 57-64, 2016.
R. Kreslin, P. M. Calvo, L. G. Corzo, P. Peer, Linear chromatic adaptation transform based on delaunay triangulation, Mathematical Problems in Engineering 2014, 9 pages, 2014.
P. Peer, Ž. Emeršič, J. Bule, J. Žganec Gros, V. Štruc, Strategies for exploiting independent cloud implementations of biometric experts in multibiometric scenarios, Mathematical Problems in Engineering 2014, 15 pages, 2014.
J. Kovač, P. Peer, Transformation based walking speed normalization for gait recognition, Transactions on Internet and Information Systems 7(11), pp. 2690-2701, 2013.
J. Kovač, P. Peer, Human skeleton model based dynamic features for walking speed invariant gait recognition. Mathematical Problems in Engineering 2014, 15 pages, 2014.
A. Ikica, P. Peer, SWT voting-based color reduction for text detection in natural scene images, EURASIP Journal on Advances in Signal Processing 2013(95), pp. 1-26, 2013.
P. Peer, L. G. Corzo, Local pixel value collection algorithm for spot segmentation in two-dimensional gel electrophoresis research, Comparative and Functional Genomics 7(1), pp. 77-85, 2007.
P. Peer, F. Solina, Where physically is the optical center?, Pattern Recognition Letters 27(10), pp. 1117-1121, 2006.
L. G. Corzo, J. A. Penaranda, P. Peer, Estimation of a fluorescent lamp spectral distribution for color image in machine vision, Machine Vision and Application 16(5), pp. 306-311, 2005.
P. Peer, F. Solina, Panoramic Depth Imaging: Single Standard Camera Approach, International Journal of Computer Vision 47(1/2/3), pp. 149-160, 2002.

.: whole bibliography :.

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.: ResearchGate profile :.

.: online publications @ LRV :.

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.: IEEE Xplore profile :.

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.: SciProfiles :.

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