Danijel Skocaj

According to our database, Danijel Skocaj authored at least 66 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Center Direction Network for Grasping Point Localization on Cloths.

Domen Tabernik, Jon Muhovic, Matej Urbas, Danijel Skocaj

IEEE Robotics Autom. Lett., October, 2024

Dynamic Adaptive Dynamic Window Approach.

Matej Dobrevski, Danijel Skocaj

IEEE Trans. Robotics, 2024

Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation.

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj

Pattern Recognit. Lett., 2024

Dense center-direction regression for object counting and localization with point supervision.

Domen Tabernik, Jon Muhovic, Danijel Skocaj

Pattern Recognit., 2024

Coupling of unsupervised and supervised deep learning-based approaches for surface anomaly detection.

Domen Racki, Dejan Tomazevic, Danijel Skocaj

J. Electronic Imaging, 2024

Patherea: Cell Detection and Classification for the 2020s.

Dejan Stepec, Maja Jerse, Snezana Dokic, Jera Jeruc, Nina Zidar, Danijel Skocaj

CoRR, 2024

Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation.

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection.

Blaz Rolih, Matic Fucka, Danijel Skocaj

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Anomalous Sound Detection by Feature-Level Anomaly Simulation.

Vitjan Zavrtanik, Matija Marolt, Matej Kristan, Danijel Skocaj

Proceedings of the IEEE International Conference on Acoustics, 2024

TransFusion - A Transparency-Based Diffusion Model for Anomaly Detection.

Matic Fucka, Vitjan Zavrtanik, Danijel Skocaj

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Low-Cost Open-Source Robotic Platform for Education.

Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj

IEEE Trans. Learn. Technol., February, 2023

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

Video-Based Ski Jump Style Scoring from Pose Trajectory.

Dejan Stepec, Danijel Skocaj

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Video-Based Detection of Combat Positions and Automatic Scoring in Jiu-jitsu.

Valter Hudovernik, Danijel Skocaj

Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022

Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels.

Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Danijel Skocaj

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection.

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Reconstruction by inpainting for visual anomaly detection.

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj

Pattern Recognit., 2021

Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery.

Dejan Stepec, Tomaz Martincic, Danijel Skocaj

CoRR, 2021

Mixed supervision for surface-defect detection: From weakly to fully supervised learning.

Jakob Bozic, Domen Tabernik, Danijel Skocaj

Comput. Ind., 2021

DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection.

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation.

Dejan Stepec, Danijel Skocaj

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition.

Domen Tabernik, Danijel Skocaj

IEEE Trans. Intell. Transp. Syst., 2020

Segmentation-based deep-learning approach for surface-defect detection.

Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj

J. Intell. Manuf., 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

Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis.

Dejan Stepec, Danijel Skocaj

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

Adaptive Dynamic Window Approach for Local Navigation.

Matej Dobrevski, Danijel Skocaj

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods.

Jaka Sircelj, Danijel Skocaj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Evaluation of Anomaly Detection Algorithms for the Real-World Applications.

Marija Ivanovska, Janez Pers, Domen Tabernik, Danijel Skocaj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

End-to-end training of a two-stage neural network for defect detection.

Jakob Bozic, Domen Tabernik, Danijel Skocaj

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Deep-Learning-Based Computer Vision System for Surface-Defect Detection.

Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj

Proceedings of the Computer Vision Systems, 12th International Conference, 2019

2018

A Compact Convolutional Neural Network for Textured Surface Anomaly Detection.

Domen Racki, Dejan Tomazevic, Danijel Skocaj

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Teaching with Open-Source Robotic Manipulator.

Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj

Proceedings of the Robotics in Education, 2018

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

Open-Source Robotic Manipulator and Sensory Platform.

Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj

Proceedings of the Robotics in Education, 2017

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, Kai Zhou, Michael Zillich, Matej Kristan

J. Exp. Theor. Artif. Intell., 2016

Hierarchical spatial model for 2D range data based room categorization.

Peter Ursic, Ales Leonardis, Danijel Skocaj, Matej Kristan

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

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

2013

Robot george: interactive continuous learning of visual concepts.

Michael Zillich, Kai Zhou, Danijel Skocaj, Matej Kristan, Alen Vrecko, Miroslav Janícek, Geert-Jan M. Kruijff, Thomas Keller, Marc Hanheide, Nick Hawes, Marko Mahnic

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

2012

Modeling binding and cross-modal learning in Markov logic networks.

Alen Vrecko, Ales Leonardis, Danijel Skocaj

Neurocomputing, 2012

A visualization and user interface framework for heterogeneous distributed environments.

Marko Mahnic, Danijel Skocaj

Proceedings of the 2012 Proceedings of the 35th International Convention, 2012

Room classification using a hierarchical representation of space.

Peter Ursic, Matej Kristan, Danijel Skocaj, Ales Leonardis

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

Multivariate online kernel density estimation with Gaussian kernels.

Matej Kristan, Ales Leonardis, Danijel Skocaj

Pattern Recognit., 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, Michael Zillich, Kai Zhou

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Visual information abstraction for interactive robot learning.

Kai Zhou, Andreas Richtsfeld, Michael Zillich, Markus Vincze, Alen Vrecko, Danijel Skocaj

Proceedings of the 15th International Conference on Advanced Robotics: New Boundaries for Robotics, 2011

Binding and Cross-Modal Learning in Markov Logic Networks.

Alen Vrecko, Danijel Skocaj, Ales Leonardis

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010

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, Andrzej Pronobis, Kristoffer Sjöö, Alen Vrecko, Hendrik Zender, Michael Zillich, Danijel Skocaj

IEEE Trans. Auton. Ment. Dev., 2010

Online kernel density estimation for interactive learning.

Matej Kristan, Danijel Skocaj, Ales Leonardis

Image Vis. Comput., 2010

Multi-model fitting using Particle Swarm Optimization for 3D perception in robot vision.

Kai Zhou, Michael Zillich, Markus Vincze, Alen Vrecko, Danijel Skocaj

Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems.

Barry Ridge, Danijel Skocaj, Ales Leonardis

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Multi-modal Learning.

Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt

Proceedings of the Cognitive Systems, 2010

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, Danijel Skocaj, Alen Vrecko, Nikodem Majer, Michael Zillich

Proceedings of the Cognitive Systems, 2010

2009

A computer vision integration model for a multi-modal cognitive system.

Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Formalization of different learning strategies in a continuous domain framework.

Danijel Skocaj, Matej Kristan, Ales Leonardis

Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob 2009), 2009

2008

Incremental and robust learning of subspace representations.

Danijel Skocaj, Ales Leonardis

Image Vis. Comput., 2008

Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation.

Danijel Skocaj, Matej Kristan, Ales Leonardis

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

2007

Weighted and robust learning of subspace representations.

Danijel Skocaj, Ales Leonardis, Horst Bischof

Pattern Recognit., 2007

Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches.

Martina Uray, Danijel Skocaj, Peter M. Roth, Horst Bischof, Ales Leonardis

Proceedings of the British Machine Vision Conference 2007, 2007

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, Gregor Berginc, Danijel Skocaj

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

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

2005

Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort.

Peter M. Roth, Helmut Grabner, Danijel Skocaj, Horst Bischof, Ales Leonardis

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2003

A Framework for Robust and Incremental Self-Localization of a Mobile Robot.

Matjaz Jogan, Matej Artac, Danijel Skocaj, Ales Leonardis

Proceedings of the Computer Vision Systems, Third International Conference, 2003

Weighted and Robust Incremental Method for Subspace Learning.

Danijel Skocaj, Ales Leonardis

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002

A Robust PCA Algorithm for Building Representations from Panoramic Images.

Danijel Skocaj, Horst Bischof, Ales Leonardis

Proceedings of the Computer Vision, 2002

2001

Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace.

Danijel Skocaj, Ales Leonardis

Proceedings of the 3rd International Conference on 3D Digital Imaging and Modeling (3DIM 2001), 28 May, 2001

2000

Range Image Acquisition of Objects with Non-Uniform Albedo Using Structured Light Range Sensor.

Danijel Skocaj, Ales Leonardis

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Acquiring Range Images of Objects with Non-Uniform Reflectance Using High Dynamic Scale Radiance Maps.

Danijel Skocaj, Ales Leonardis

Proceedings of the Confluence of Computer Vision and Computer Graphics, 2000