Danijel Skočaj je izredni profesor na Fakulteti za računalništvo in informatiko Univerze v Ljubljani, kjer je predstojnik Laboratorija za umetne vizualne spoznavne sisteme. Raziskovalno se ukvarja predvsem z računalniškim vidom in spoznavno robotiko. V okviru temeljnih in aplikativnih raziskav razvija in uvaja nove napredne metode globokega učenja in računalniškega vida za reševanje kompleksnih problemov, ki zahtevajo procesiranje vizualne informacije. Zanima ga tudi etični vidik umetne inteligence, strojnega učenja in robotike ter vpliv razvoja teh tehnologij na družbo. Predava predmete s področja računalniškega vida, spoznavne robotike in globokega učenja. Ima bogate izkušnje iz vodenja raziskovalnih in aplikativnih projektov, tako evropskih in nacionalnih, kot tudi projektov financiranih s strani industrijskih partnerjev, v okviru katerih skrbi za prenos raziskovalnih dognanj v prakso.
2021: Priznanje Prometej znanosti za odličnost v komuniciranju za leto 2020, Slovenska znanstvena fundacija
2021: Priznanje za enega največkrat prenesenih člankov v letu 2020 v znanstveni reviji Journal of Intelligent Manufacturing
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BOŽIČ, Jakob, TABERNIK, Domen, SKOČAJ, Danijel. Mixed supervision for surface-defect detection : from weakly to fully supervised learning. Computers in industry, ISSN 0166-3615. [Print ed.], Aug. 2021, vol. 129
RAČKI, Domen, TOMAŽEVIČ, Dejan, SKOČAJ, Danijel. Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks. Neural computing & applications, ISSN 0941-0643, 2021
DOBREVSKI, Matej, SKOČAJ, Danijel. Deep reinforcement learning for map-less goal-driven robot navigation. International journal of advanced robotic systems, ISSN 1729-8814, Jan./Feb. 2021, vol. 18, no. 1
ZAVRTANIK, Vitjan, KRISTAN, Matej, SKOČAJ, Danijel. Reconstruction by inpainting for visual anomaly detection. Pattern recognition : the journal of the Pattern Recognition Society, ISSN 0031-3203. [Print ed.], Apr. 2021, vol. 112
DOBREVSKI, Matej, SKOČAJ, Danijel. Adaptive dynamic window approach for local navigation. V: 2020 IEEE/RSJ IEEE International Conference on Intelligent Robots and Systems (IROS), October, 25-29, 2020, Las Vegas, NV, USA, 2020, str. 6930-6936
TABERNIK, Domen, SKOČAJ, Danijel. Deep learning for large-scale traffic-sign detection and recognition. IEEE transactions on intelligent transportation systems, ISSN 1524-9050. [Print ed.], Apr. 2020, vol. 21, no. 4, str. 1427-1440
TABERNIK, Domen, ŠELA, Samo, SKVARČ, Jure, SKOČAJ, Danijel. Segmentation-based deep-learning approach for surface-defect detection. Journal of intelligent manufacturing, ISSN 0956-5515, Mar. 2020, vol. 31, no. 3, str. 759-776
MAVER, Jasna, SKOČAJ, Danijel. EL: local image descriptor based on extreme responses to partial derivatives of 2D Gaussian function. Mathematical problems in engineering, ISSN 1563-5147, 2019, vol. 2019
URŠIČ, Peter, LEONARDIS, Aleš, SKOČAJ, Danijel, KRISTAN, Matej. Learning part-based spatial models for laser-vision-based room categorization. The international journal of robotics research, ISSN 0278-3649. [Print ed.], 2017, vol. 36, no. 4, str. 379-402
SKOČAJ, Danijel, VREČKO, Alen, MAHNIČ, Marko, JANÍČEK, Miroslav, KRUIJFF, Geert-Jan M., HANHEIDE, Marc, HAWES, Nick, WYATT, Jeremy L., KELLER, Thomas, ZHOU, Kai, ZILLICH, Michael, KRISTAN, Matej. An integrated system for interactive continuous learning of categorical knowledge. Journal of experimental & theoretical artificial intelligence, ISSN 0952-813X. [Print ed.], 2016, vol. 28, no. 5, str. 823-848
TABERNIK, Domen, LEONARDIS, Aleš, BOBEN, Marko, SKOČAJ, Danijel, KRISTAN, Matej. Adding discriminative power to a generative hierarchical compositional model using histograms of compositions. Computer vision and image understanding, ISSN 1077-3142. [Print ed.], Sep. 2015, vol. 138, str. 102-113
RIDGE, Barry, LEONARDIS, Aleš, UDE, Aleš, DENIŠA, Miha, SKOČAJ, Danijel. Self-supervised online learning of basic object push affordances. International journal of advanced robotic systems, ISSN 1729-8814, 2015, vol. 12, str. 24-1-24-18
URŠIČ, Peter, TABERNIK, Domen, BOBEN, Marko, SKOČAJ, Danijel, LEONARDIS, Aleš, KRISTAN, Matej. Room categorization based on a hierarchical representation of space. International journal of advanced robotic systems, ISSN 1729-8814, 2013, vol. 10
VREČKO, Alen, LEONARDIS, Aleš, SKOČAJ, Danijel. Modeling binding and cross-modal learning in Markov logic networks. Neurocomputing (Amst.). [Print ed.], 2012
KRISTAN, Matej, LEONARDIS, Aleš, SKOČAJ, Danijel. Multivariate online kernel density estimation with Gaussian kernels. Pattern recogn.. [Print ed.], 2011, vol. 44, no. 10/11, str. 2630-2642
WYATT, Jeremy L., AYDEMIR, Alper, BRENNER, Michael, HANHEIDE, Marc, HAWES, Nick, JENSFELT, Patric, KRISTAN, Matej, KRUIJFF, Geert-Jan M., LISON, Pierre, PRONOBIS, Andrzej, SJÖÖ, Kristoffer, VREČKO, Alen, ZENDER, Hendrik, ZILLICH, Michael, SKOČAJ, Danijel. Self-understanding and self-extension : a systems and representational approach. IEEE trans. auton. ment. dev. (Print). [Print ed.], Dec. 2010, vol. 2, no. 4, str. 282-303
KRISTAN, Matej, SKOČAJ, Danijel, LEONARDIS, Aleš. Online kernel density estimation for interactive learning. Image vis. comput.. [Print ed.], Jul. 2010, vol. 28, no. 7, str. 1106-1116
SKOČAJ, Danijel, LEONARDIS, Aleš. Incremental and robust learning of subspace representations. Image vis. comput.. [Print ed.], 2008, vol. 26, no. 1, str. 27-38
SKOČAJ, Danijel, LEONARDIS, Aleš, BISCHOF, Horst. Weighted and robust learning of subspace representations. Pattern recogn.. [Print ed.], May 2007, vol. 40, no. 5, str. [1556]-1569
FIDLER, Sanja, SKOČAJ, Danijel, LEONARDIS, Aleš. Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling. IEEE trans. pattern anal. mach. intell., Mar. 2006, vol. 28, no. 3, str. 337-350.