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Dejan Štepec

Personal bibliography for the period 2015-2026

2015

1. ŠTEPEC, Dejan. Razvoj sistema za prepoznavanje objektov na osnovi oblakov točk : diplomsko delo. Ljubljana: [D. Štepec], 2015. 69 str., ilustr. http://eprints.fri.uni-lj.si/3105/, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 1536569795]

2017

2. ŠTEPEC, Dejan. Razvoj postopka za avtomatsko ocenjevanje sloga smučarskih skokov : magistrsko delo : magistrski program druge stopnje Računalništvo in informatika. Ljubljana: [D. Štepec], 2017. 82 str., ilustr. http://eprints.fri.uni-lj.si/4002/. [COBISS.SI-ID 1537595075]
3. DAS, Abhijit, PAL, Umapada, FERRER, Miguel A., BLUMENSTEIN, Michael, ŠTEPEC, Dejan, ROT, Peter, EMERŠIČ, Žiga, PEER, Peter, ŠTRUC, Vitomir, KUMAR S. V., Aruna, HARISH, B. S. SSERBC 2017 : Sclera Segmentation and Eye Recognition Benchmarking Competition. In: IJCB 2017. IEEE International Joint Conference on Biometrics, October 1-4, 2017, Denver. Piscataway: IEEE, cop. 2017. Str. 742-747, 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/8272764, DOI: 10.1109/BTAS.2017.8272764. [COBISS.SI-ID 11866196]
4. 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]
5. 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]

2018

6. DAS, Abhijit, PAL, Umapada, FERRER, Miguel A., BLUMENSTEIN, Michael, ŠTEPEC, Dejan, ROT, Peter, EMERŠIČ, Žiga, PEER, Peter, ŠTRUC, Vitomir. SSBC 2018 : Sclera Segmentation Benchmarking Competition. In: ICB 2018 : proceedings. Los Alamitos (CA): IEEE Computer Society, cop. 2018. Str. 303-308, ilustr. ISBN 978-1-5386-4285-6. https://ieeexplore.ieee.org/document/8411237/, DOI: 10.1109/ICB2018.2018.00053. [COBISS.SI-ID 1537894083]

2019

7. ŠTEPEC, Dejan, MARTINČIČ, Tomaž, SKOČAJ, Danijel. Automated system for ship detection from medium resolution satellite optical imagery. In: OCEANS 2019 : conference & exposition : Seattle, October 27-31, 2019. [S. l.]: IEEE Society, 2019. Str. 1-10, ilustr. https://ieeexplore.ieee.org/document/8962707, DOI: 10.23919/OCEANS40490.2019.8962707. [COBISS.SI-ID 16815619]
8. LOZEJ, Juš, ŠTEPEC, Dejan, ŠTRUC, Vitomir, PEER, Peter. Influence of segmentation on deep iris recognition performance. In: 2019 7th International Workshop on Biometrics and Forensics (IWBF). Danvers (MA): IEEE, cop. 2019. Str. 1-6, ilustr. https://ieeexplore.ieee.org/document/8739225, DOI: 10.1109/IWBF.2019.8739225. [COBISS.SI-ID 1538257347]

2020

9. MARTINČIČ, Tomaž. Analiza operativnih podatkov pristanišča in napoved obračalnega časa tovornih ladij : diplomsko delo : visokošolski strokovni študijski program prve stopnje Računalništvo in informatika. Ljubljana: [T. Martinčič], 2020. 57 str., ilustr. https://repozitorij.uni-lj.si/IzpisGradiva.php?id=119827&lang=slv, Repository of the University of Ljubljana – RUL . [COBISS.SI-ID 30798595]
10. ŠTEPEC, Dejan, EMERŠIČ, Žiga, PEER, Peter, ŠTRUC, Vitomir. Constellation-based deep ear recognition. In: JIANG, Richard (ed.). Deep biometrics. Cham: Springer, cop. 2020. Str. 161-190, ilustr. Unsupervised and semi-supervised learning. ISBN 978-3-030-32583-1. ISSN 2522-8498. https://link.springer.com/chapter/10.1007/978-3-030-32583-1_8, DOI: 10.1007/978-3-030-32583-1_8. [COBISS.SI-ID 1538521539]
11. ŠTEPEC, Dejan. Deep multi-label classification of chest X-ray IMAGES. In: LUŠTREK, Mitja (ed.), GAMS, Matjaž (ed.), PILTAVER, Rok (ed.). Slovenska konferenca o umetni inteligenci = Slovenian Conference on Artificial Intelligence : 6.-7. oktober 2020, 6-7 October 2020, Ljubljana, Slovenia : Informacijska družba - IS 2020 = Information Society - IS 2020 : zbornik 23. mednarodne multikonference = proceedings of the 23rd innternational multiconference : zvezek A = volume A. Ljubljana: Institut "Jožef Stefan", 2020. Str. 108-111. Informacijska družba. ISBN 978-961-264-202-0, ISBN 978-961-264-203-7. ISSN 2630-371X. http://library.ijs.si/Stacks/Proceedings/InformationSociety/2020/IS2020_Volume_A%20-%20SLAIS.pdf. [COBISS.SI-ID 34408451]
12. ŠTEPEC, Dejan, SKOČAJ, Danijel. Image synthesis as a pretext for unsupervised histopathological diagnosis. In: BURGOS, Ninon (ed.). Simulation and synthesis in medical imaging : 5th International Workshop, SASHIMI 2020, held in conjunction with MICCAI 2020, October 4, 2020, Lima, Peru : proceedings. Cham: Springer, 2020. Str. 174-183. Lecture notes in computer science, LNCS 12417. ISBN 978-3-030-59519-7. ISSN 0302-9743. https://link.springer.com/chapter/10.1007%2F978-3-030-59520-3_18. [COBISS.SI-ID 45139203]
13. ŠTEPEC, Dejan, MARTINČIČ, Tomaž, KLEIN, Fabrice, VLADUŠIČ, Daniel, PITA COSTA, João. Machine learning based system for vessel turnaround time prediction. In: SKORDOS, Dimitrios (ed.), SHAOYI, Yin (ed.). 2020 21st IEEE International Conference on Mobile Data Management, MDM 2020, Versailles, France, 30 June-3 July 2020 : proceedings. Piscataway: IEEE = Institute of Electrical and Electronics Engineers, 2020. Str. 258-263. ISBN 978-1-72814-663-8, ISBN 1-72814-663-1. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9162235. [COBISS.SI-ID 43872771]
14. ŠTEPEC, Dejan, SKOČAJ, Danijel. Towards visual anomaly detection in domains with limited amount of labeled data. In: POTOČNIK, Božidar (ed.). ROSUS 2020 : računalniška obdelava slik in njena uporaba v Sloveniji 2020 : zbornik 15. strokovne konference. 1. izd. Maribor: Univerzitetna založba Univerze, 2020. Str. 7-26, ilustr. ISBN 978-961-286-337-1. https://press.um.si/index.php/ump/catalog/view/464/560/798-1. [COBISS.SI-ID 27503363]
15. MARTINČIČ, Tomaž, ŠTEPEC, Dejan, PITA COSTA, João, ČAGRAN, Kristijan, CHALDEAKIS, Athanasios. Vessel and port efficiency metrics through validated AIS data. In: Global Oceans 2020 : Singapore - U.S. Gulf Coast : 5-30 Oct. 2020. Piscataway (New Jersey): IEEE, 2020. 1-6 str. https://ieeexplore.ieee.org/document/9389112/authors#authors. [COBISS.SI-ID 225313027]

2021

16. PITA COSTA, João, ŠTEPEC, Dejan, FUART, Flavio, PALAU, Carlos E., et al. Advantage of a green and smart port of the future. WIT transactions on the built environment. 2021, vol. 204, str. 203 - 217. ISSN 1743-3509. https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/204/38062, DOI: 10.2495/UT210171. [COBISS.SI-ID 225427715]
17. GARCÍA-FAURA, Álvaro, ŠTEPEC, Dejan, CANKAR, Matija, HUMAR, Miha. Application of unsupervised anomaly detection techniques to moisture content data from wood constructions. Forests. [Online ed.]. 2021, vol. 12, iss. 2, 1-19 str. ISSN 1999-4907. https://www.mdpi.com/1999-4907/12/2/194, Repository of the University of Ljubljana – RUL , DOI: 10.3390/f12020194. [COBISS.SI-ID 50590467]
18. ŠTEPEC, Dejan, SKOČAJ, Danijel. Nenadzorovana detekcija rakavih regij v histoloških slikah s pomočjo preslikav slika-v-sliko. Uporabna informatika. [Tiskana izd.]. 2021, letn. 29, št. 4, str. 208-213, ilustr. ISSN 1318-1882. https://uporabna-informatika.si/index.php/ui/article/view/136, http://www.dlib.si/details/URN:NBN:SI:doc-0I9EBT68, DOI: 10.31449/upinf.vol29.num4.136. [COBISS.SI-ID 116472835]
19. ŠTEPEC, Dejan, SKOČAJ, Danijel. Unsupervised detection of cancerous regions in histology imagery using image-to-image translation. In: CVPRW 2021 : 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops : virtual, 19-25 June 2021. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. Los Alamitos, California; Washington; Tokyo: CPS: IEEE Computer Society, cop. 2021. Str. 3780-3787, ilustr. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops (Online). ISBN 978-1-6654-4899-4. ISSN 2160-7516. https://ieeexplore.ieee.org/document/9522703, DOI: 10.1109/CVPRW53098.2021.00419. [COBISS.SI-ID 116502275]

2022

20. GARCÍA-FAURA, Álvaro, ŠTEPEC, Dejan, MARTINČIČ, Tomaž, SKOČAJ, Danijel. Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels. In: DRUKKER, Karen (ed.), IFTEKHARUDDIN, Khan M. (ed.). Medical Imaging 2022 : computer-aided diagnosis : 20-24 February 2022, San Diego, California, United States : 21–27 March 2022, online. Part 1. Bellingham (Washington): SPIE, cop. 2022. Str. 1-8, ilustr. Proceedings of SPIE, the International Society for Optical Engineering, vol. 12033, Progress in biomedical optics and imaging (Online), vol. 23, no. 49. ISBN 978-1-51064-942-2. ISSN 0277-786X, ISSN 2410-9045. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12033/2607458/Segmentation-of-multiple-myeloma-plasma-cells-in-microscopy-images-with/10.1117/12.2607458.short?SSO=1, DOI: 10.1117/12.2607458. [COBISS.SI-ID 132811267]
21. ŠTEPEC, Dejan, SKOČAJ, Danijel. Video-based ski jump style scoring from pose trajectory. In: WACVW 2022 : 2022 IEEE Winter Conference on Applications of Computer Vision Workshops : 4–8 January 2022 Waikoloa, Hawaii. 2022 IEEE Winter Conference on Applications of Computer Vision Workshops. Los Alamitos, California; Washington; Tokyo: CPS: IEEE Computer Society, cop. 2022. Str. 682-690, ilustr. Proceedings (IEEE Winter Conference on Applications of Computer Vision Workshops. Online). ISBN 978-1-6654-5824-5. ISSN 2690-621X. https://ieeexplore.ieee.org/document/9707593, DOI: 10.1109/WACVW54805.2022.00075. [COBISS.SI-ID 116526851]

2023

22. CANKAR, Matija, PETROVIĆ, Nenad N., PITA COSTA, João, ČERNIVEC, Aleš, ANTIĆ, Jan, MARTINČIČ, Tomaž, ŠTEPEC, Dejan. Security in DevSecOps : applying tools and machine learning to verification and monitoring steps. In: ICPE '23 Companion, Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 15-19 April 2023, Coimbra, Portugal : April 15-19, 2023, Coimbra, Portugal. New York: ASMC = Association for Computing Machinery, 2023. Str. 201-205. ISBN 979-8-4007-0072-9. DOI: 10.1145/3578245.3584943. [COBISS.SI-ID 151373059]

2024

23. MILOŠEVIĆ, T., ŠTEPEC, Dejan, MARTNIČIČ, T., PITA COSTA, João, FUAR, F., TRAVEN, L., et al. IoT-based real-time assessment of atmospheric emission from the Port of Piraeus, Greece. International journal of environmental science and technology. 2024, vol. 21, str. 305–314. ISSN 1735-2630. https://link.springer.com/article/10.1007/s13762-023-04987-6, DOI: 10.1007/s13762-023-04987-6. [COBISS.SI-ID 225354243]

2026

24. ŠTEPEC, Dejan (author, corresponding author), JERŠE, Maja, ĐOKIĆ, Snežana, JERUC, Jera, ZIDAR, Nina, SKOČAJ, Danijel. Patherea : cell detection and classification for the 2020s. Medical Image Analysis. [Online ed.]. Feb. 2026, vol. 108, [article no.] 103868, str. 1-17, ilustr. ISSN 1361-8423. https://www.sciencedirect.com/science/article/pii/S1361841525004141?via%3Dihub, Repository of the University of Ljubljana – RUL , DOI: 10.1016/j.media.2025.103868. [COBISS.SI-ID 265987331]
project: P3-0054; funder: Slovenian Research and Innovation Agency (ARIS)
25. KLEMENC, Matjaž, PELLARINI, Daniel, PAPIČ, Aleš, POLIČAR, Pavlin Gregor, ŠTEPEC, Dejan, BOSNIĆ, Zoran. Predicting vasovagal syncope during head-up tilt test : three machine learning approaches. Frontiers in neuroinformatics. Jun. 2026, vol. 20, str. 1-10, graf. prikazi. ISSN 1662-5196. https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2026.1740746/full, Repository of the University of Ljubljana – RUL , DOI: 10.3389/fninf.2026.1740746. [COBISS.SI-ID 280898307]
Selected format of bibliographic unit: ISO 690
Sorting of bibliographic units: Year - ascending, title

A source of bibliographic data: shared data base COBISS.SI/COBIB.SI, 15. 11. 2026