Publications by Danijel Skočaj

• Center Direction Network for Grasping Point Localization on Cloths

  Domen Tabernik, Jon Natanael Muhovič, Matej Urbas, and Danijel Skočaj

  IEEE Robotics and Automation Letters, IEEE, 2024
• Dense Center-Direction Regression for Object Counting and Localization with Point Supervision

  Domen Tabernik, Jon Natanael Muhovič, and Danijel Skočaj

  Pattern Recognition, 2024
• Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition Letters, 2024
• Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network

  Domen Tabernik, Matic Šuc, and Danijel Skočaj

  Construction and Building Materials, 2023
• Low-Cost Open-Source Robotic Platform for Education

  Luka Čehovin Zajc, Anže Rezelj, and Danijel Skočaj

  Transactions on Learning Technologies, IEEE, 2023
• Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks

  Domen Rački, Dejan Tomaževič, and Danijel Skočaj

  Neural Computing and Applications, Springer, 2021
• Reconstruction by inpainting for visual anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition, Elsevier, 2021
• Mixed supervision for surface-defect detection: from weakly to fully supervised learning

  Jakob Božič, Domen Tabernik, and Danijel Skočaj

  Computers in Industry, Elsevier, 2021
• Deep reinforcement learning for map-less goal-driven robot navigation

  Matej Dobrevski and Danijel Skočaj

  International Journal of Advanced Robotic Systems, 2021
• Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

  Domen Tabernik, Samo Šela, Jure Skvarč, and Danijel Skočaj

  Journal of Intelligent Manufacturing, 2020
• Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

  Domen Tabernik and Danijel Skočaj

  Transactions on Intelligent Transportation Systems, IEEE, 2019
• Learning part-based spatial models for laser-vision-based room categorization

  Peter Uršič, Aleš Leonardis, Danijel Skočaj, and Matej Kristan

  International Journal of Robotics Reseach, Sage, 2017
• An integrated system for interactive continuous learning of categorical knowledge

  Danijel Skočaj, Alen Vrečko, Marko Mahnič, Miroslav Janiček, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L Wyatt, Thomas Keller et al.

  Journal of Experimental & Theoretical Artificial Intelligence, 2016
• An integrated system for interactive continuous learning of categorical knowledge

  Danijel Skočaj, Alen Vrečko, Marko Mahnč, Miroslav Janiček, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Jeremy L Wyatt, Thomas Keller et al.

  2016
• Adding discriminative power to a generative hierarchical compositional model using histograms of compositions

  Domen Tabernik, Aleš Leonardis, Marko Boben, Danijel Skočaj, and Matej Kristan

  Computer Vision and Image Understanding, 2015
• Aktivno učenje in vzajemnost med učiteljem in učencem

  Matjaž Majnik and Danijel Skočaj

  Elektrotehniški vestnik, 2013
• Room Categorization Based on a Hierarchical Representation of Space

  Peter Uršič, Domen Tabernik, Marko Boben, Danijel Skočaj, Aleš Leonardis, and Matej Kristan

  International Journal of Advanced Robotic Systems, 2013
• Modeling binding and cross-modal learning in Markov logic networks

  Alen Vrečko, Aleš Leonardis, and Danijel Skočaj

  Neurocomputing, 2012
• Multivariate Online Kernel Density Estimation with Gaussian Kernels

  Matej Kristan, Aleš Leonardis, and Danijel Skočaj

  Pattern Recognition, 2011
• Self-understanding and self-extension: a systems and representational approach

  Jeremy L. Wyatt, Alper Aydemir, Michael Brenner, Marc Hanheide, Nick Hawes, Patric Jensfelt, Matej Kristan, Geert-Jan M. Kruijff, Pierre Lison et al.

  IEEE Transactions on Autonomous Mental Development, 2010