Publications by Danijel Skočaj

• Online Kernel Density Estimation For Interactive Learning

  Matej Kristan, Danijel Skočaj, and Aleš Leonardis

  Image and Vision Computing, 2009
• Incremental and robust learning of subspace representations

  Danijel Skočaj and Aleš Leonardis

  Image vis. comput., 2008
• Weighted and robust learning of subspace representations

  Danijel Skočaj, Aleš Leonardis, and Horst Bischof

  Pattern recogn., 2007
• Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling

  Sanja Fidler, Danijel Skočaj, and Aleš Leonardis

  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
• Robustno vizualno učenje na podlagi podprostorov

  Danijel Skočaj

  Elektroteh. vestn., 2004
• TransFusion – A Transparency-Based Diffusion Model for Anomaly Detection

  Matic Fučka, Vitjan Zavrtanik, and Danijel Skočaj

  ECCV 2024, 2024
• Aktivno učenje z mešanimi oznakami za detekcijo površinskih napak z globokimi nevronskimi mrežami

  Domen Tabernik and Danijel Skočaj

  ERK, 2024
• Anomalous Sound Detection by Feature-Level Anomaly Simulation

  Vitjan Zavrtanik, Matija Marolt, Matej Kristan, and Danijel Skočaj

  ICASSP 2024, 2024
• Demonstracijska celica za prikaz globokega učenja v praktičnih aplikacijah

  Domen Tabernik, Peter Mlakar, Jakob Božič, Luka Čehovin Zajc, Vid Rijavec, and Danijel Skočaj

  ROSUS 2024 - Računalniška obdelava slik in njena uporaba v Sloveniji 2024, 2024
• Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  WACV 2024, 2024
• Lokalizacija in ocenjevanje lege predmeta v treh prostostnih stopnjah s središčnimi smernimi vektorji

  Domen Tabernik, Jon Natanael Muhovič, and Danijel Skočaj

  ERK, 2023
• Video-Based Ski Jump Style Scoring from Pose Trajectory

  Dejan Štepec and Danijel Skočaj

  IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022
• DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ECCV 2022, 2022
• Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij

  Jakob Božič, Vitjan Zavrtanik, and Danijel Skočaj

  ERK, 2021
• DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ICCV 2021, 2021
• O klasifikaciji slik v ne-enolično določljive razrede

  Jon Natanael Muhovič, Domen Tabernik, and Danijel Skočaj

  ERK, 2020
• Adaptive Dynamic Window Approach for Local Navigation

  Matej Dobrevski and Danijel Skočaj

  2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2020
• End-to-end training of a two-stage neural network for defect detection

  Jakob Božič, Domen Tabernik, and Danijel Skočaj

  ICPR, 2020
• Deep-learning-based computer vision system for surface-defect detection

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

  Proceedings of the 12th International Conference on Computer Vision Systems, 2019
• Improving Traffic Sign Detection with Temporal Information

  Domen Tabernik, Jon Muhovic, Alan Lukežič, and Danijel Skočaj

  Proceedings of the 23rd Computer Vision Winter Workshop, 2018