Blaž Meden

Description

Teaching Assistant in the courses: Graphic Design, Introduction to Graphic Design, and Multimedia Content.

In the field of research, I deal with generative models, image-based biometrics, image analysis, and deep learning.

Awards

Blaž Meden: European Association for Biometrics (EAB) Biometric Industry Award 2023 (+Best Presentation Award).
Blaž Meden, Peter Rot: Faculty research award for PhD students, 2021.
Best theoretical paper award @ IEEE IWOBI 2018: Analysis of content-aware image compression with VGG16 (Selimović, Meden, Peer, Hladnik).

Classes

Laboratory

Projects

Past projects

Publications

B. Meden, M. Gonzalez-Hernandez, P. Peer, V. Štruc, Face deidentification with controllable privacy protection, Image and Vision Computing, 2023.
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. Meden, Ž. Emeršič, V. Štruc, P. Peer, k-Same-Net: k-Anonymity with generative deep neural networks for face deidentification, Entropy, 2018.
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.
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.