Hazim Kemal Ekenel

1. MEDEN, Blaž, MALLI, Refik Can, FABIJAN, Sebastjan, EKENEL, Hazim Kemal, ŠTRUC, Vitomir, PEER, Peter. Face deidentification with generative deep neural networks. IET signal processing. [Print ed.]. Dec. 2017, vol. 11, no. 9, str. 1046-1054, ilustr. ISSN 1751-9675. http://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0049, DOI: 10.1049/iet-spr.2017.0049. [COBISS.SI-ID 1537419459]

2. EMERŠIČ, Žiga, ŠTEPEC, Dejan, ŠTRUC, Vitomir, PEER, Peter, GEORGE, Anjith, AHMAD, Adil, OMAR, Elshibani, BOULT, Terrance E., SAFDARI, Reza, ZHOU, Yuxiang, ZAFEIRIOU, Stefanos, YAMAN, Dogucan, EYIOKUR, Fevziye Irem, EKENEL, Hazim Kemal. The unconstrained ear recognition challenge. In: IJCB 2017. IEEE International Joint Conference on Biometrics, October 1-4, 2017, Denver. Piscataway: IEEE, cop. 2017. Str. 715-724, ilustr. IEEE International Conference on Biometrics, Theory, Applications and Systems (Online). ISBN 978-1-5386-1124-1. ISSN 2474-9699. http://www.vast.uccs.edu/~tboult/IJCB17/IJCB17.zip, https://ieeexplore.ieee.org/document/8272761, DOI: 10.1109/BTAS.2017.8272761. [COBISS.SI-ID 11866452]

3. 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]

4. BOUTROS, Fadi, DAMER, Naser, KOLF, Jan Niklas, RAJA, Kiran, KIRCHBUCHNER, Florian, RAMACHANDRA, Raghavendra, KUIJPER, Arjan, FANG, Pengcheng, ZHANG, Chao, WANG, Fei, MONTERO, David, AGINAKO, Naiara, SIERRA, Basilio, NIETO, Marcos, ERAKIN, Mustafa Ekrem, DEMIR, Uğur, EKENEL, Hazim Kemal, KATAOKA, Asaki, ICHIKAWA, Kohei, KUBO, Shizuma, ZHANG, Jie, HE, Mingjie, HAN, Dan, SHAN, Shiguang, GRM, Klemen, ŠTRUC, Vitomir, SENEVIRATNE, Sachith, KASTHURIARACHCHI, Nuran, RASNAYAKA, Sanka, NETO, Pedro C., SEQUEIRA, Ana F., RIBEIRO PINTO, Joao, SAFFARI, Mohsen, CARDOSO, Jaime S. MFR 2021 : Masked Face Recognition Competition. In: IJCB 2021 : IEEE International Joint Conference on Biometrics : [Aug. 4-7, 2021, Shenzhen, China, virtual]. [S. l.]: IEEE, cop. 2021. Str. 1-10, ilustr. https://ieeexplore.ieee.org/document/9484337, DOI: 10.1109/IJCB52358.2021.9484337. [COBISS.SI-ID 72123651]

5. GRM, Klemen, ÖZATA, Berk Kemal, ŠTRUC, Vitomir, EKENEL, Hazim Kemal. Meet-in-the-middle : multi-scale upsampling and matching for cross-resolution face recognition. In: WACVW 2023 : 2023 IEEE Winter Conference on Applications of Computer Vision Workshops : 3–7 January 2023 Waikoloa, Hawaii : proceedings. Los Alamitos, California; Washington; Tokyo: CPS: IEEE Computer Society, cop. 2023. Str. 120-129, ilustr. ISBN 979-8-3503-2056-5. https://ieeexplore.ieee.org/document/10031111, DOI: 10.1109/WACVW58289.2023.00017. [COBISS.SI-ID 155099139]

6. EYIOKUR, Fevziye Irem, KANTARCI, Alperen, ERAKIN, Mustafa Ekrem, DAMER, Naser, OFLI, Ferda, IMRAN, Muhammad, KRIŽAJ, Janez, ALI SALAH, Albert, WAIBEL, Alexander, ŠTRUC, Vitomir, EKENEL, Hazim Kemal. A survey on computer vision based human analysis in the COVID-19 era. Image and vision computing. [Print ed.]. Feb. 2023, vol. 130, 104610, str. 1-19, ilustr. ISSN 0262-8856. DOI: 10.1016/j.imavis.2022.104610. [COBISS.SI-ID 136028675]

7. GRM, Klemen, ÖZATA, Berk Kemal, KANTARCI, Alperen, ŠTRUC, Vitomir, EKENEL, Hazim Kemal. Degrade or super-resolve to recognize? Bridging the domain gap for cross-resolution face recognition. IEEE access. 2025, vol. 13, str. 10542-10558, ilustr. ISSN 2169-3536. https://ieeexplore.ieee.org/document/10833634, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1109/ACCESS.2025.3527236. [COBISS.SI-ID 229666051]