Številke

Bibliografija osebe. Seznam zajema vsa gradiva in ne le tista, kje je oseba mentor.

Magistrska dela (1)

  1. Blaž Košenina: Trgovanje na Forex trgu s pomočjo algoritmov strojnega učenja

Diplomska dela (1)

  1. Neža Petaros: Računalniško podprta analiza poezije Iga Grudna

Druga dela (17)

  1. Darian Tomašević, Peter Peer, Franc Solina, Aleš Jaklič, Vitomir Štruc: Reconstructing superquadrics from intensity and color images
  2. Marjan Stoimčev, Marija Ivanovska, Vitomir Štruc: Learning to combine local and global image information for contactless palmprint recognition
  3. Blaž Meden, Žiga Emeršič, Vitomir Štruc, Peter Peer: k-Same-Net
  4. Janez Križaj, Simon Dobrišek, Vitomir Štruc: Making the most of single sensor information
  5. Borut Batagelj, Peter Peer, Vitomir Štruc, Simon Dobrišek: How to correctly detect face-masks for COVID-19 from visual information?
  6. Chenquan Gan, Yucheng Yang, Qingyi Zhu, Deepak Kumar Jain, Vitomir Štruc: DHF-Net
  7. Blaž Meden, Peter Rot, Philipp Terhörst, Naser Damer, Arjan Kuijper, Walter J. Scheirer, Arun Abraham Ross, Peter Peer, Vitomir Štruc: Privacy–enhancing face biometrics
  8. Blaž Meden, Manfred Gonzalez-Hernandez, Peter Peer, Vitomir Štruc: Face deidentification with controllable privacy protection
  9. Matej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc: IPAD
  10. Miha Grabner, Yi Wang, Qingsong Wen, Boštjan Blažič, Vitomir Štruc: A global modeling framework for load forecasting in distribution networks
  11. Matej Vitek, Peter Peer, Vitomir Štruc: Exploring bias in sclera segmentation models
  12. Marija Ivanovska, Vitomir Štruc: Y-GAN
  13. Darian Tomašević, Fadi Boutros, Naser Damer, Peter Peer, Vitomir Štruc: Generating bimodal privacy-preserving data for face recognition
  14. Janez Križaj, Richard O. Plesh, Mahesh Banavar, Stephanie Schuckers, Vitomir Štruc: Deep Face Decoder
  15. Martin Pernuš, Clinton Fookes, Vitomir Štruc, Simon Dobrišek: FICE
  16. Chenquan Gan, Junhao Xiao, Qingyi Zhu, Deepak Kumar Jain, Vitomir Štruc: Transfer-learning enabled micro-expression recognition using dense connections and mixed attention
  17. Matej Vitek, Vitomir Štruc, Peter Peer: GazeNet