Danijel Skocaj

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 43

Top Topics

Sign Detection And Recognition

Microscopy Images

Convolutional Neural Networks

Robotic Manipulator

Top Venues

Pattern Recognit.

Publications

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. WACV (2024)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation. Pattern Recognit. Lett. 181 (2024)
Domen Racki, Dejan Tomazevic, Danijel Skocaj
Coupling of unsupervised and supervised deep learning-based approaches for surface anomaly detection. J. Electronic Imaging 33 (3) (2024)
Vitjan Zavrtanik, Matija Marolt, Matej Kristan, Danijel Skocaj
Anomalous Sound Detection by Feature-Level Anomaly Simulation. ICASSP (2024)
Domen Tabernik, Jon Muhovic, Danijel Skocaj
Dense center-direction regression for object counting and localization with point supervision. Pattern Recognit. 153 (2024)
Matej Dobrevski, Danijel Skocaj
Dynamic Adaptive Dynamic Window Approach. IEEE Trans. Robotics 40 (2024)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. CoRR (2023)
Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj
Low-Cost Open-Source Robotic Platform for Education. IEEE Trans. Learn. Technol. 16 (1) (2023)
Matic Fucka, Vitjan Zavrtanik, Danijel Skocaj
TransFusion - A Transparency-Based Diffusion Model for Anomaly Detection. CoRR (2023)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection. ECCV (31) (2022)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DSR - A dual subspace re-projection network for surface anomaly detection. CoRR (2022)
Valter Hudovernik, Danijel Skocaj
Video-Based Detection of Combat Positions and Automatic Scoring in Jiu-jitsu. MMSports@MM (2022)
Dejan Stepec, Danijel Skocaj
Video-Based Ski Jump Style Scoring from Pose Trajectory. WACV (Workshops) (2022)
Domen Racki, Dejan Tomazevic, Danijel Skocaj
Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks. Neural Comput. Appl. 34 (1) (2022)
Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Danijel Skocaj
Segmentation of multiple myeloma plasma cells in microscopy images with noisy labels. Medical Imaging: Computer-Aided Diagnosis (2022)
Dejan Stepec, Danijel Skocaj
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. CoRR (2021)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Reconstruction by inpainting for visual anomaly detection. Pattern Recognit. 112 (2021)
Dejan Stepec, Danijel Skocaj
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation. CoRR (2021)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
Mixed supervision for surface-defect detection: From weakly to fully supervised learning. Comput. Ind. 129 (2021)
Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Danijel Skocaj
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels. CoRR (2021)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. CoRR (2021)
Dejan Stepec, Tomaz Martincic, Danijel Skocaj
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery. CoRR (2021)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
Mixed supervision for surface-defect detection: from weakly to fully supervised learning. CoRR (2021)
Dejan Stepec, Danijel Skocaj
Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation. CVPR Workshops (2021)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. ICCV (2021)
Matej Dobrevski, Danijel Skocaj
Adaptive Dynamic Window Approach for Local Navigation. IROS (2020)
Domen Tabernik, Danijel Skocaj
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. IEEE Trans. Intell. Transp. Syst. 21 (4) (2020)
Aleksej Avramovic, Davor Sluga, Domen Tabernik, Danijel Skocaj, Vladan Stojnic, Nejc Ilc
Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization. IEEE Access 8 (2020)
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
Segmentation-based deep-learning approach for surface-defect detection. J. Intell. Manuf. 31 (3) (2020)
Dejan Stepec, Danijel Skocaj
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. SASHIMI@MICCAI (2020)
Jaka Sircelj, Danijel Skocaj
Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods. ICPR (2020)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
End-to-end training of a two-stage neural network for defect detection. ICPR (2020)
Jakob Bozic, Domen Tabernik, Danijel Skocaj
End-to-end training of a two-stage neural network for defect detection. CoRR (2020)
Marija Ivanovska, Janez Pers, Domen Tabernik, Danijel Skocaj
Evaluation of Anomaly Detection Algorithms for the Real-World Applications. ICPR (2020)
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection. CoRR (2019)
Domen Tabernik, Danijel Skocaj
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. CoRR (2019)
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
Deep-Learning-Based Computer Vision System for Surface-Defect Detection. ICVS (2019)
Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj
Teaching with Open-Source Robotic Manipulator. RiE (2018)
Domen Racki, Dejan Tomazevic, Danijel Skocaj
A Compact Convolutional Neural Network for Textured Surface Anomaly Detection. WACV (2018)
Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj
Open-Source Robotic Manipulator and Sensory Platform. RiE (2017)
Peter Ursic, Ales Leonardis, Danijel Skocaj, Matej Kristan
Learning part-based spatial models for laser-vision-based room categorization. Int. J. Robotics Res. 36 (4) (2017)
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
An integrated system for interactive continuous learning of categorical knowledge. J. Exp. Theor. Artif. Intell. 28 (5) (2016)
Peter Ursic, Ales Leonardis, Danijel Skocaj, Matej Kristan
Hierarchical spatial model for 2D range data based room categorization. ICRA (2016)
Domen Tabernik, Ales Leonardis, Marko Boben, Danijel Skocaj, Matej Kristan
Adding discriminative power to a generative hierarchical compositional model using histograms of compositions. Comput. Vis. Image Underst. 138 (2015)
Michael Zillich, Kai Zhou, Danijel Skocaj, Matej Kristan, Alen Vrecko, Miroslav Janícek, Geert-Jan M. Kruijff, Thomas Keller, Marc Hanheide, Nick Hawes, Marko Mahnic
Robot george: interactive continuous learning of visual concepts. HRI (2013)
Alen Vrecko, Ales Leonardis, Danijel Skocaj
Modeling binding and cross-modal learning in Markov logic networks. Neurocomputing 96 (2012)
Peter Ursic, Matej Kristan, Danijel Skocaj, Ales Leonardis
Room classification using a hierarchical representation of space. IROS (2012)
Marko Mahnic, Danijel Skocaj
A visualization and user interface framework for heterogeneous distributed environments. MIPRO (2012)
Danijel Skocaj, Matej Kristan, Alen Vrecko, Marko Mahnic, Miroslav Janícek, Geert-Jan M. Kruijff, Marc Hanheide, Nick Hawes, Thomas Keller, Michael Zillich, Kai Zhou
A system for interactive learning in dialogue with a tutor. IROS (2011)
Kai Zhou, Andreas Richtsfeld, Michael Zillich, Markus Vincze, Alen Vrecko, Danijel Skocaj
Visual information abstraction for interactive robot learning. ICAR (2011)
Alen Vrecko, Danijel Skocaj, Ales Leonardis
Binding and Cross-Modal Learning in Markov Logic Networks. ICANNGA (2) (2011)
Matej Kristan, Ales Leonardis, Danijel Skocaj
Multivariate online kernel density estimation with Gaussian kernels. Pattern Recognit. 44 (10-11) (2011)
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
Self-Understanding and Self-Extension: A Systems and Representational Approach. IEEE Trans. Auton. Ment. Dev. 2 (4) (2010)
Kai Zhou, Michael Zillich, Markus Vincze, Alen Vrecko, Danijel Skocaj
Multi-model fitting using Particle Swarm Optimization for 3D perception in robot vision. ROBIO (2010)
Barry Ridge, Danijel Skocaj, Ales Leonardis
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems. ICRA (2010)
Matej Kristan, Danijel Skocaj, Ales Leonardis
Online kernel density estimation for interactive learning. Image Vis. Comput. 28 (7) (2010)
Danijel Skocaj, Matej Kristan, Ales Leonardis
Formalization of different learning strategies in a continuous domain framework. EpiRob (2009)
Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis
A computer vision integration model for a multi-modal cognitive system. IROS (2009)
Danijel Skocaj, Ales Leonardis
Incremental and robust learning of subspace representations. Image Vis. Comput. 26 (1) (2008)
Danijel Skocaj, Matej Kristan, Ales Leonardis
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation. VISAPP (1) (2008)
Danijel Skocaj, Ales Leonardis, Horst Bischof
Weighted and robust learning of subspace representations. Pattern Recognit. 40 (5) (2007)
Martina Uray, Danijel Skocaj, Peter M. Roth, Horst Bischof, Ales Leonardis
Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches. BMVC (2007)
Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj
Towards an Integrated Robot with Multiple Cognitive Functions. AAAI (2007)
Sanja Fidler, Danijel Skocaj, Ales Leonardis
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling. IEEE Trans. Pattern Anal. Mach. Intell. 28 (3) (2006)
Peter M. Roth, Helmut Grabner, Danijel Skocaj, Horst Bischof, Ales Leonardis
Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort. DAGM-Symposium (2005)
Danijel Skocaj, Ales Leonardis
Weighted and Robust Incremental Method for Subspace Learning. ICCV (2003)
Matjaz Jogan, Matej Artac, Danijel Skocaj, Ales Leonardis
A Framework for Robust and Incremental Self-Localization of a Mobile Robot. ICVS (2003)
Danijel Skocaj, Horst Bischof, Ales Leonardis
A Robust PCA Algorithm for Building Representations from Panoramic Images. ECCV (4) (2002)
Danijel Skocaj, Ales Leonardis
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace. 3DIM (2001)
Danijel Skocaj, Ales Leonardis
Range Image Acquisition of Objects with Non-Uniform Albedo Using Structured Light Range Sensor. ICPR (2000)