Peter Peer

Opis

Glavni raziskovalni temi: računalniški vid, biometrija.

Aktualni poudarki:

Predstojnik Laboratorija za računalniški vid.

Izvršni urednik @ ICT Express, področni urednik @ IEEE Access & IET Biometrics, tematski urednik @ MDPI Applied Sciences.

Koordinator dvojnega študijskega programa s Kyungpook National University, Južna Koreja.

Član Upravnega odbora FRI (2018-).

Član Senata FRI (2021-).

Nekateri starejši poudarki:

Soorganizator tekmovanja 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.

Soorganizator tekmovanja Sclera Segmentation and Recognition Benchmarking Competition @ 2023 IEEE/IAPR International Joint Conference on Biometrics.

Prodekan za gospodarske zadeve (2018-2022).

Sourednik posebne številke @ Applied Sciences (2021-22): Deep Image Semantic Segmentation and Recognition.

Gostujoči profesor @ North-Caucasus Federal University, Rusija, 2020-21.

Soorganizator tekmovanja Sclera Segmentation Benchmarking Competition @ 2020 IEEE/IAPR International Joint 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 @ IET Biometrics (2018): Unconstrained Ear Recognition.

Gostujoči profesor @ Kyungpook National University, Južna Korea, 6-7/2017.

Vabljen raziskovalec @ inštitutu CEIT & njihovem spin-off podjetju Asiris Vision Technologies SA, Španija, 2004-5.

Doktorski študentje:

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-) (z European Comission Joint Research Center, Ispra, Italija)
Ajda Lampe: Virtual try-on (2021-)
Nicolas Larue: Deep-fakes detection (2021-) (znotraj EUTOPIA zveze univerz)
Darian Tomašević: Umetno generiranje fotorealističnih slik biometričnih modalnosti za varovanje zasebnosti

Aktualne diplomske teme marca 2023:
- Detekcija slabih slik pri segmentaciji in prepoznavi beločnice
- Razvoj (mobilne) aplikacije za segmentacijo & razpoznavo beločnice / uhljev / deidentifikacijo
- Učinkovita deidentifikacija obrazov v realnem času
- Zaščita zasebnosti mehkih biometričnih atributov na slikah obraza z metodami globokega učenja
- Virtualno pomerjanje oblačil / dodatkov
- Metode za odkrivanje lažnih posnetkov (DeepFake)

Nagrade

Nagrada za izstopajoči študentski članek @ MIPRO 2023: Keeping Drivers Alert: A Solution for Monitoring Driver Attention in Assisted-Driving Vehicles (Jutreša, Peer, Emeršič, Kim).

Tretje mesto na tekmovanju DeepFake Game Competition on Visual Realism Assessment @ 2023 IEEE/IAPR International Joint Conference on Biometrics (Dragar, Peer, Štruc, Batagelj).

Feb. 2023, članek Privacy–Enhancing Face Biometrics: A Comprehensive Survey je bil med 25 največkrat dostopanimi članki IEEE Signal Processing Society - IEEE Transactions on Information Forensics and Security v obdobju Sep. 2021-Sep. 2022 na IEEE Xplore.

Zmaga na tekmovanju 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).

20 najbolj citiranih člankov (#7) leta 2021 v sekciji "Computing and Artificial Intelligence" @ Applied Sciences.

Najboljši recenzent @ 2021 IEEE/IAPR International Joint Conference on Biometrics.

Zmaga na tekmovanju Sclera Segmentation Benchmarking Competition @ 2018 IAPR International Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).

Nagrada za najboljši teoretični članek @ IEEE IWOBI 2018: Analysis of content-aware image compression with VGG16 (Selimović, Meden, Peer, Hladnik).

Zmaga na tekmovanju Sclera Segmentation and Eye Recognition Benchmarking Competition @ 2017 IEEE/IAPR International Joint Conference on Biometrics (Štepec, Rot, Emeršič, Peer, Štruc).

Nagrada za najboljši študentski članek @ IFMBE MEDICON 2007: Using computer vision in a rehabilitation method of a human hand (Katrašnik, Veber, Peer).

Študenstka fakultetna Prešernova nagrada, 1998.

Nagrade mojih doktorskih študentov:

Darian Tomašević: študentska fakultetna Prešernova nagrada, 2023.

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

Žiga Emeršič: nagrada Slovenskega društva za razpoznavanje vzorcev za odmevno doktorsko delo, 2023.

Žiga Emeršič: Svečana listina UL mladim visokošolskim učiteljem in visokošolskim sodelavcem, 2022.

Tim Oblak: fakultetna raziskovalna nagrada doktorskim študentom, 2022.

Benjamin Fele, Ajda Lampe: fakultetna raziskovalna nagrada doktorskim študentom, 2022.

Žiga Emeršič: European Association for Biometrics - Max Snijder Award (& best presentation award), 2021.

Tim Oblak: študentska fakultetna Prešernova nagrada, 2021.

Blaž Meden, Peter Rot: fakultetna raziskovalna nagrada doktorskim študentom, 2021.

Peter Rot: študentska univerzitetna Prešernova nagrada, 2018.

Žiga Emeršič: fakultetna raziskovalna nagrada doktorskim študentom, 2017.

Predmeti

Laboratorij

Laboratorij za računalniški vid, Predstojnik laboratorija

Projekti

P2-0214 - Računalniški vid
Raziskovalni programi ARRS(P2-0214), 01.01.2019 - 31.12.2024
AIM@VET - Izobraževalni moduli umetne inteligence za prilagajanje poklicnega izobraževanja in usposabljanja digitalni transformaciji trga dela
(AIM@VET), 01.09.2022 - 31.07.2025
BI-IN/22-24-009 - Termo-vidna globoka večmodelna očesna biometrična razpoznava in termalno profiliranje iz obraza v COVID-19 svetu
Bilaterarni projekti(BI-IN/22-24-009), 01.01.2022 - 31.12.2024

Zaključeni projekti

Računalniški vid
Raziskovalni programi ARRS01.01.2009 - 31.12.2014
Računalniški vid
Raziskovalni programi ARRS01.01.2015 - 31.12.2018
KC CLASS - Storitve podprte z računalništvom v oblaku - CLOUD
Projekti strukturnih skladov(KC CLASS), 01.01.2011 - 31.12.2013
KC OPCOMM - Odprta komunikacijska platforma za integracijo storitev
Projekti strukturnih skladov(KC OPCOMM), 01.01.2011 - 31.12.2013
Priprava prototpov in izvedba delavnic
03.07.2017 - 31.12.2018
Segmentacija in rekonstrukcija superkvadričnih modelov iz 3D podatkov s pomočjo nevronske mreže
Raziskovalni projekti 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 - mladi raziskovalec
Raziskovalni projekti ARRS(VITEK MATEJ), 01.10.2018 - 30.09.2022
J2-1734 - Deidentifikacija obrazov z globokimi generativnimi modeli (FaceGEN)
Raziskovalni projekti ARRS(J2-1734), 01.07.2019 - 30.06.2022
Globoki generativni modeli za lepotno in modno industrijo (DeepBeauty)
Raziskovalni projekti ARRS01.09.2020 - 31.08.2023
Svetovalne storitve
16.10.2020 - 16.10.2021

Publikacije

(selected journal publications with impact factor (SCI))

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.
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.
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, 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.
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.

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