Blaž Meden
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Room: R2.33 - Laboratorij LRV

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.

  • 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).
Past projects
  • 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.