Prof. dr. Peter Peer
Full Professor
T:
+386 1 479 8248
Room:
R2.08 - Kabinet
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-)
- Matej Vitek: Sclera recognition (2018-)
- 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
Awards
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 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:
Darian Tomašević: student Faculty Prešeren award, 2023.
Blaž Meden: European Association for Biometrics - Biometric 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
Projects
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P2-0214 - Computer Vision
ARRS research programmes(P2-0214), 01.01.2019 - 31.12.2024 -
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 -
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
Past projects
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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 -
J2-1734 - Deidentifikacija obrazov z globokimi generativnimi modeli (FaceGEN)
Research projects ARRS(J2-1734), 01.07.2019 - 30.06.2022 -
Globoki generativni modeli za lepotno in modno industrijo (DeepBeauty)
Research projects ARRS01.09.2020 - 31.08.2023 -
Svetovalne storitve
16.10.2020 - 16.10.2021
Publications
(selected journal publications with impact factor (SCI))
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P. Rot, K. Grm, P. Peer, V. Štruc, PrivacyProber: assessment and setection of soft–biometric privacy–enhancing techniques, IEEE transactions on dependable and secure computing, 2023.
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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.
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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.
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B. Meden, M. Gonzalez-Hernandez, P. Peer, V. Štruc, Face deidentification with controllable privacy protection, Image and Vision Computing, 2023.
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T. Oblak, R. Haraksim, L. Beslay, P. Peer, Probabilistic fingermark quality assessment with quality region localisation, Sensors, 2023.
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M. F. Ansari, P. Kasprowski, P. Peer, Person-specific gaze estimation from low-quality webcam images, Sensors, 2023.
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S. Kumar, S. Singh, P. Peer, Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor, Image and Vision Computing, 2023.
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A. Hrovatič, P. Peer, V. Štruc, Ž. Emeršič, Efficient ear alignment using a two-stack hourglass network, IET Biometrics, 2023.
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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.
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D. Tomašević, P. Peer, F. Solina, A. Jaklič, V. Štruc, Reconstructing superquadrics from intensity and color images, Sensors, 2022.
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T. Oblak, R. Haraksim, P. Peer, L. Beslay, Fingermark quality assessment framework with classic and deep learning ensemble models, Knowledge-Based Systems, 2022.
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Ž. Emeršič, D. Sušanj, B. Meden, P. Peer, V. Štruc, ContexedNet: context-aware ear detection in unconstrained settings, IEEE Access, 2021.
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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.
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B. Batagelj, P. Peer, V, Štruc, S. Dobrišek, How to correctly detect face-masks for COVID-19 from visual information?, Applied Sciences, 2021.
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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.
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M. Vitek, P. Rot, V. Štruc, P. Peer, A comprehensive investigation into sclera biometrics: a novel dataset and performance study, Neural computing & applications, 2020.
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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.
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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.
- 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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