TO
asist. asist. Tim Oblak
Asistent
E:Pošljite sporočilo
Prostor: R2.33 - Laboratorij LRV
Opis

Doktorski študent pod mentorstvom izr. prof. dr. Petra Peera in somentorstvom dr. Rudolfa Haraksima.

Trenutno sem v sklopu doktorskega usposabljanja zaposlen v Skupnem raziskovalnem središču Evropske komisije v Ispri. Ukvarjam se ocenjevanjem kvalitete prstnih sledi v kontekstu forenzičnih preiskav.

 

Nagrade
  • Študenstka fakultetna Prešernova nagrada, 2021.
Predmeti
Laboratorij
Projekti
Publikacije
  • OBLAK, Tim, HARAKSIM, Rudolf, BESLAY, Laurent, PEER, Peter. Fingermark quality assessment: An open-source toolbox. International Conference of the Biometrics Special Interest Group (BIOSIG), 2021. pp. 1-7.
  • PREMK, Leon, EMERŠIČ, Žiga, OBLAK, Tim. Automatic latent fingerprint segmentation using convolutional neural networks. International Convention on Information, Communication and Electronic Technology (MIPRO), 2021. pp. 1171-1175.
  • OBLAK, Tim, ŠIRCELJ, Jaka, ŠTRUC, Vitomir, PEER, Peter, SOLINA, Franc, JAKLIČ, Aleš. Learning to predict superquadric parameters from depth images with explicit and implicit supervision. IEEE Access, 2021. pp. 1087-1102
  • ŠIRCELJ, Jaka, OBLAK, Tim, GRM, Klemen, PETKOVIĆ, Uroš, JAKLIČ, Aleš, PEER, Peter, ŠTRUC, Vitomir, SOLINA, Franc. Segmentation and recovery of superquadric models using convolutional neural networks. Computer Vision Winter Workshop Conference (CVWWC), 2020. pp. 74-81.
  • OBLAK, Tim, GRM, Klemen, JAKLIČ, Aleš, PEER, Peter, ŠTRUC, Vitomir, SOLINA, Franc. Recovery of superquadrics from range images using deep learning: A preliminary study. International Work Conference on Bioinspired Intelligence (IWOBI), IEEE, 2019. pp. 45-52.
  • OBLAK, Tim, MEDEN, Blaž, PEER, Peter, EMERŠIČ, Žiga. Unconstrained ear recognition using residual learning and attention mechanisms. International Electrotechnical and Computer Science Conference (ERK), 2018. pp. 400-403.
Več