Acquiring Range Images of Objects with Non-Uniform Reflectance Using High Dynamic Scale Radiance Maps. - Danijel Skocaj; Ales Leonardis (Confluence of Computer Vision and Computer Graphics, 2000)

Range Image Acquisition of Objects with Non-Uniform Albedo Using Structured Light Range Sensor. - Danijel Skocaj; Ales Leonardis (ICPR, 2000)

Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace. - Danijel Skocaj; Ales Leonardis (3DIM, 2001)

A Robust PCA Algorithm for Building Representations from Panoramic Images. - Danijel Skocaj; Horst Bischof; Ales Leonardis (ECCV (4), 2002)

Weighted and Robust Incremental Method for Subspace Learning. - Danijel Skocaj; Ales Leonardis (ICCV, 2003)

A Framework for Robust and Incremental Self-Localization of a Mobile Robot. - Matjaz Jogan; Matej Artac; Danijel Skocaj; Ales Leonardis (ICVS, 2003)

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort. - Peter M. Roth; Helmut Grabner; Danijel Skocaj; Horst Bischof; Ales Leonardis (DAGM-Symposium, 2005)

Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. - Sanja Fidler; Danijel Skocaj; Ales Leonardis (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Towards an Integrated Robot with Multiple Cognitive Functions. - Nick Hawes; Aaron Sloman; Jeremy L. Wyatt; Michael Zillich; Henrik Jacobsson; Geert-Jan M. Kruijff; Michael Brenner 001; Gregor Berginc; Danijel Skocaj (AAAI, 2007)

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches. - Martina Uray; Danijel Skocaj; Peter M. Roth; Horst Bischof; Ales Leonardis (BMVC, 2007)

Weighted and robust learning of subspace representations. - Danijel Skocaj; Ales Leonardis; Horst Bischof (Pattern Recognit., 2007)

Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation. - Danijel Skocaj; Matej Kristan; Ales Leonardis (VISAPP (1), 2008)

Incremental and robust learning of subspace representations. - Danijel Skocaj; Ales Leonardis (Image Vis. Comput., 2008)

Formalization of different learning strategies in a continuous domain framework. - Danijel Skocaj; Matej Kristan; Ales Leonardis (EpiRob, 2009)

A computer vision integration model for a multi-modal cognitive system. - Alen Vrecko; Danijel Skocaj; Nick Hawes; Ales Leonardis (IROS, 2009)

The PlayMate System. - Nick Hawes; Jeremy L. Wyatt; Mohan Sridharan; Marek Sewer Kopicki; Somboon Hongeng; Ian Calvert; Aaron Sloman; Geert-Jan M. Kruijff; Henrik Jacobsson; Michael Brenner 001; Danijel Skocaj; Alen Vrecko; et al. (Cognitive Systems, 2010)

Multi-modal Learning. - Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark 003; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt (Cognitive Systems, 2010)

Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems. - Barry Ridge; Danijel Skocaj; Ales Leonardis (ICRA, 2010)

Multi-model fitting using Particle Swarm Optimization for 3D perception in robot vision. - Kai Zhou 003; Michael Zillich; Markus Vincze; Alen Vrecko; Danijel Skocaj (ROBIO, 2010)

Online kernel density estimation for interactive learning. - Matej Kristan; Danijel Skocaj; Ales Leonardis (Image Vis. Comput., 2010)

Self-Understanding and Self-Extension: A Systems and Representational Approach. - Jeremy L. Wyatt; Alper Aydemir; Michael Brenner 001; Marc Hanheide; Nick Hawes; Patric Jensfelt; Matej Kristan; Geert-Jan M. Kruijff; Pierre Lison; Andrzej Pronobis; Kristoffer Sjöö; Alen Vrecko; et al. (IEEE Trans. Auton. Ment. Dev., 2010)

Binding and Cross-Modal Learning in Markov Logic Networks. - Alen Vrecko; Danijel Skocaj; Ales Leonardis (ICANNGA (2), 2011)

Visual information abstraction for interactive robot learning. - Kai Zhou 003; Andreas Richtsfeld; Michael Zillich; Markus Vincze; Alen Vrecko; Danijel Skocaj (ICAR, 2011)

A system for interactive learning in dialogue with a tutor. - Danijel Skocaj; Matej Kristan; Alen Vrecko; Marko Mahnic; Miroslav Janícek; Geert-Jan M. Kruijff; Marc Hanheide; Nick Hawes; Thomas Keller 001; Michael Zillich; Kai Zhou 003 (IROS, 2011)

Multivariate online kernel density estimation with Gaussian kernels. - Matej Kristan; Ales Leonardis; Danijel Skocaj (Pattern Recognit., 2011)

Room classification using a hierarchical representation of space. - Peter Ursic; Matej Kristan; Danijel Skocaj; Ales Leonardis (IROS, 2012)

A visualization and user interface framework for heterogeneous distributed environments. - Marko Mahnic; Danijel Skocaj (MIPRO, 2012)

Modeling binding and cross-modal learning in Markov logic networks. - Alen Vrecko; Ales Leonardis; Danijel Skocaj (Neurocomputing, 2012)

Robot george: interactive continuous learning of visual concepts. - Michael Zillich; Kai Zhou 003; Danijel Skocaj; Matej Kristan; Alen Vrecko; Miroslav Janícek; Geert-Jan M. Kruijff; Thomas Keller 001; Marc Hanheide; Nick Hawes; Marko Mahnic (HRI, 2013)

Adding discriminative power to a generative hierarchical compositional model using histograms of compositions. - Domen Tabernik; Ales Leonardis; Marko Boben; Danijel Skocaj; Matej Kristan (Comput. Vis. Image Underst., 2015)

Hierarchical spatial model for 2D range data based room categorization. - Peter Ursic; Ales Leonardis; Danijel Skocaj; Matej Kristan (ICRA, 2016)

An integrated system for interactive continuous learning of categorical knowledge. - Danijel Skocaj; Alen Vrecko; Marko Mahnic; Miroslav Janícek; Geert-Jan M. Kruijff; Marc Hanheide; Nick Hawes; Jeremy L. Wyatt; Thomas Keller 001; Kai Zhou 003; Michael Zillich; Matej Kristan (J. Exp. Theor. Artif. Intell., 2016)

Open-Source Robotic Manipulator and Sensory Platform. - Luka Cehovin Zajc; Anze Rezelj; Danijel Skocaj (RiE, 2017)

Learning part-based spatial models for laser-vision-based room categorization. - Peter Ursic; Ales Leonardis; Danijel Skocaj; Matej Kristan (Int. J. Robotics Res., 2017)

Teaching with Open-Source Robotic Manipulator. - Luka Cehovin Zajc; Anze Rezelj; Danijel Skocaj (RiE, 2018)

A Compact Convolutional Neural Network for Textured Surface Anomaly Detection. - Domen Racki; Dejan Tomazevic; Danijel Skocaj (WACV, 2018)

Deep-Learning-Based Computer Vision System for Surface-Defect Detection. - Domen Tabernik; Samo Sela; Jure Skvarc; Danijel Skocaj (ICVS, 2019)

End-to-end training of a two-stage neural network for defect detection. - Jakob Bozic; Domen Tabernik; Danijel Skocaj (ICPR, 2020)

Evaluation of Anomaly Detection Algorithms for the Real-World Applications. - Marija Ivanovska; Janez Pers; Domen Tabernik; Danijel Skocaj (ICPR, 2020)

Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods. - Jaka Sircelj; Danijel Skocaj (ICPR, 2020)

Adaptive Dynamic Window Approach for Local Navigation. - Matej Dobrevski; Danijel Skocaj (IROS, 2020)

Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. - Dejan Stepec; Danijel Skocaj (SASHIMI@MICCAI, 2020)

Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization. - Aleksej Avramovic; Davor Sluga; Domen Tabernik; Danijel Skocaj; Vladan Stojnic; Nejc Ilc (IEEE Access, 2020)

Segmentation-based deep-learning approach for surface-defect detection. - Domen Tabernik; Samo Sela; Jure Skvarc; Danijel Skocaj (J. Intell. Manuf., 2020)

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. - Domen Tabernik; Danijel Skocaj (IEEE Trans. Intell. Transp. Syst., 2020)

Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation. - Dejan Stepec; Danijel Skocaj (CVPR Workshops, 2021)

DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. - Vitjan Zavrtanik; Matej Kristan; Danijel Skocaj (ICCV, 2021)

Mixed supervision for surface-defect detection: From weakly to fully supervised learning. - Jakob Bozic; Domen Tabernik; Danijel Skocaj (Comput. Ind., 2021)

Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery. - Dejan Stepec; Tomaz Martincic; Danijel Skocaj (CoRR, 2021)

Reconstruction by inpainting for visual anomaly detection. - Vitjan Zavrtanik; Matej Kristan; Danijel Skocaj (Pattern Recognit., 2021)

DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection. - Vitjan Zavrtanik; Matej Kristan; Danijel Skocaj (ECCV (31), 2022)

Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels. - Álvaro García-Faura; Dejan Stepec; Tomaz Martincic; Danijel Skocaj (Computer-Aided Diagnosis, 2022)

Video-Based Detection of Combat Positions and Automatic Scoring in Jiu-jitsu. - Valter Hudovernik; Danijel Skocaj (MMSports@MM, 2022)

Video-Based Ski Jump Style Scoring from Pose Trajectory. - Dejan Stepec; Danijel Skocaj (WACV (Workshops), 2022)

Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks. - Domen Racki; Dejan Tomazevic; Danijel Skocaj (Neural Comput. Appl., 2022)

Low-Cost Open-Source Robotic Platform for Education. - Luka Cehovin Zajc; Anze Rezelj; Danijel Skocaj (IEEE Trans. Learn. Technol., 2023)

TransFusion - A Transparency-Based Diffusion Model for Anomaly Detection. - Matic Fucka; Vitjan Zavrtanik; Danijel Skocaj (ECCV (35), 2024)

Anomalous Sound Detection by Feature-Level Anomaly Simulation. - Vitjan Zavrtanik; Matija Marolt; Matej Kristan; Danijel Skocaj (ICASSP, 2024)

SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection. - Blaz Rolih; Matic Fucka; Danijel Skocaj (ICPR (10), 2024)

Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. - Vitjan Zavrtanik; Matej Kristan; Danijel Skocaj (WACV, 2024)

Patherea: Cell Detection and Classification for the 2020s. - Dejan Stepec; Maja Jerse; Snezana Dokic; Jera Jeruc; Nina Zidar; Danijel Skocaj (CoRR, 2024)

Coupling of unsupervised and supervised deep learning-based approaches for surface anomaly detection. - Domen Racki; Dejan Tomazevic; Danijel Skocaj (J. Electronic Imaging, 2024)

Dense center-direction regression for object counting and localization with point supervision. - Domen Tabernik; Jon Muhovic; Danijel Skocaj (Pattern Recognit., 2024)

Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation. - Vitjan Zavrtanik; Matej Kristan; Danijel Skocaj (Pattern Recognit. Lett., 2024)

Dynamic Adaptive Dynamic Window Approach. - Matej Dobrevski; Danijel Skocaj (IEEE Trans. Robotics, 2024)

Center Direction Network for Grasping Point Localization on Cloths. - Domen Tabernik; Jon Muhovic; Matej Urbas; Danijel Skocaj (IEEE Robotics Autom. Lett., 2024)

Robustness of unsupervised methods for image surface-anomaly detection. - Jakob Bozic; Matic Fucka; Vitjan Zavrtanik; Danijel Skocaj (Pattern Anal. Appl., 2025)