PhD Vitomir Štruc [28458]

1. EMERŠIČ, Žiga, MEDEN, Blaž, PEER, Peter, ŠTRUC, Vitomir. Evaluation and analysis of ear recognition models : performance, complexity and resource requirements. Neural computing & applications. Oct. 2020, vol. 32, no. 20, str. 15785-15800, ilustr. ISSN 0941-0643. https://link.springer.com/article/10.1007/s00521-018-3530-1, DOI: 10.1007/s00521-018-3530-1. [COBISS.SI-ID 1537788099]

2. GRM, Klemen, ŠTRUC, Vitomir, ARTIGES, Anais, CARON, Matthieu, EKENEL, Hazim Kemal. Strengths and weaknesses of deep learning models for face recognition against image degradations. IET biometrics. [Print ed.]. Jan. 2018, vol. 7, no. 1, str. 81-89, ilustr. ISSN 2047-4938. http://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0083, DOI: 10.1049/iet-bmt.2017.0083. [COBISS.SI-ID 11838804]

3. EMERŠIČ, Žiga, ŠTRUC, Vitomir, PEER, Peter. Ear recognition : more than a survey. Neurocomputing. [Print ed.]. Sep. 2017, vol. 255, str. 26-39, ilustr. ISSN 0925-2312. http://www.sciencedirect.com/science/article/pii/S092523121730543X, DOI: 10.1016/j.neucom.2016.08.139. [COBISS.SI-ID 1537395395]

4. KRAVANJA, Jaka, ŽGANEC, Mario, ŽGANEC GROS, Jerneja, DOBRIŠEK, Simon, ŠTRUC, Vitomir. Robust depth image acquisition using modulated pattern projection and probabilistic graphical models. Sensors. Oct. 2016, no. 10, 1740, str. 1-24, ilustr. ISSN 1424-8220. http://www.mdpi.com/1424-8220/16/10/1740, DOI: 10.3390/s16101740. [COBISS.SI-ID 11577684]

5. ŠTRUC, Vitomir, PAVEŠIĆ, Nikola. The complete Gabor-Fisher classifier for robust face recognition. EURASIP journal on advances in signal processing. [Print ed.]. 2010, vol. 2010, art. no. 847680, str. 1-26, ilustr. ISSN 1687-6172. https://asp-eurasipjournals.springeropen.com/articles/10.1155/2010/847680, DOI: 10.1155/2010/847680. [COBISS.SI-ID 7787604]

6. POH, Norman, ŠTRUC, Vitomir, PAVEŠIĆ, Nikola, et al. An evaluation of video-to-video face verification. IEEE transactions on information forensics and security. [Print ed.]. Dec. 2010, vol. 5, no. 4, str. 781-801, ilustr. ISSN 1556-6013. [COBISS.SI-ID 8062804]

7. BANERJEE, Sandipan, BROGAN, Joel, KRIŽAJ, Janez, BHARATI, Aparna, WEBSTER, Brandon Richard, ŠTRUC, Vitomir, FLYNN, Patrick J., SCHEIRER, Walter J. To frontalize or not to frontalize : do we really need elaborate pre-processing to improve face recognition?. In: WACV 2018 : proceedings. 2018 IEEE Winter Conference on Applications of Computer Vision, 12-15 March 2017 [i. e. 2018], Lake Tahoe, Nevada. Los Alamitos (California) [etc.]: IEEE Computer society, cop. 2018. Str. 20-29, ilustr. ISBN 978-1-5386-4886-5. https://ieeexplore.ieee.org/document/8354113/, DOI: 10.1109/WACV.2018.00009. [COBISS.SI-ID 12038740]

8. VIDAL, Rosaura G., BANARJEE, Sreya, GRM, Klemen, ŠTRUC, Vitomir, SCHEIRER, Walter J. ▫$UG^2$▫ : a video benchmark for assessing the impact of image restoration and enhancement on automatic visual recognition. In: WACV 2018 : proceedings. 2018 IEEE Winter Conference on Applications of Computer Vision, 12-15 March 2017 [i. e. 2018], Lake Tahoe, Nevada. Los Alamitos (California) [etc.]: IEEE Computer society, cop. 2018. Str. 1597-1606, ilustr. ISBN 978-1-5386-4886-5. https://ieeexplore.ieee.org/document/8354281/, DOI: 10.1109/WACV.2018.00177. [COBISS.SI-ID 12038996]

9. EMERŠIČ, Žiga, ŠTEPEC, Dejan, ŠTRUC, Vitomir, PEER, Peter. Training convolutional neural networks with limited training data for ear recognition in the wild. In: FG 2017. 12th IEEE International Conference on Automatic Face and Gesture Recognition, 30 May - 3 June 2017, Washington, DC, USA. Danvers: IEEE, cop. 2017. Str. 897-994, ilustr. ISBN 978-1-5090-4023-0. DOI: 10.1109/FG.2017.123. [COBISS.SI-ID 11750484]