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2020 – today
- 2024
[j22]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)- [j21]Domen Tabernik, Jon Muhovic, Danijel Skocaj:
Dense center-direction regression for object counting and localization with point supervision. Pattern Recognit. 153: 110540 (2024) - [j20]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
:
Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation. Pattern Recognit. Lett. 181: 113-119 (2024) - [j19]Domen Tabernik, Jon Muhovic, Matej Urbas, Danijel Skocaj:
Center Direction Network for Grasping Point Localization on Cloths. IEEE Robotics Autom. Lett. 9(10): 8913-8920 (2024) - [j18]Matej Dobrevski, Danijel Skocaj:
Dynamic Adaptive Dynamic Window Approach. IEEE Trans. Robotics 40: 3068-3081 (2024) - [c38]Matic Fucka, Vitjan Zavrtanik, Danijel Skocaj:
TransFusion - A Transparency-Based Diffusion Model for Anomaly Detection. ECCV (35) 2024: 91-108 - [c37]Vitjan Zavrtanik, Matija Marolt, Matej Kristan, Danijel Skocaj:
Anomalous Sound Detection by Feature-Level Anomaly Simulation. ICASSP 2024: 1466-1470 - [c36]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. WACV 2024: 2153-2161 - [i15]Blaz Rolih, Matic Fucka, Danijel Skocaj:
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection. CoRR abs/2408.03143 (2024) - [i14]Domen Tabernik, Jon Muhovic, Matej Urbas, Danijel Skocaj:
Center Direction Network for Grasping Point Localization on Cloths. CoRR abs/2408.14456 (2024) - [i13]Domen Tabernik, Jon Muhovic, Danijel Skocaj:
Dense Center-Direction Regression for Object Counting and Localization with Point Supervision. CoRR abs/2408.14457 (2024) - 2023
- [j17]Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj:
Low-Cost Open-Source Robotic Platform for Education. IEEE Trans. Learn. Technol. 16(1): 18-25 (2023) - [i12]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. CoRR abs/2311.01117 (2023) - [i11]Matic Fucka, Vitjan Zavrtanik, Danijel Skocaj:
TransFusion - A Transparency-Based Diffusion Model for Anomaly Detection. CoRR abs/2311.09999 (2023) - 2022
- [j16]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): 631-650 (2022) - [c35]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection. ECCV (31) 2022: 539-554 - [c34]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 - [c33]Valter Hudovernik, Danijel Skocaj:
Video-Based Detection of Combat Positions and Automatic Scoring in Jiu-jitsu. MMSports@MM 2022: 55-63 - [c32]Dejan Stepec, Danijel Skocaj:
Video-Based Ski Jump Style Scoring from Pose Trajectory. WACV (Workshops) 2022: 682-690 - [i10]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DSR - A dual subspace re-projection network for surface anomaly detection. CoRR abs/2208.01521 (2022) - 2021
- [j15]Jakob Bozic, Domen Tabernik, Danijel Skocaj:
Mixed supervision for surface-defect detection: From weakly to fully supervised learning. Comput. Ind. 129: 103459 (2021) - [j14]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Reconstruction by inpainting for visual anomaly detection. Pattern Recognit. 112: 107706 (2021) - [c31]Dejan Stepec, Danijel Skocaj:
Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation. CVPR Workshops 2021: 3785-3792 - [c30]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. ICCV 2021: 8310-8319 - [i9]Jakob Bozic, Domen Tabernik, Danijel Skocaj:
Mixed supervision for surface-defect detection: from weakly to fully supervised learning. CoRR abs/2104.06064 (2021) - [i8]Dejan Stepec, Danijel Skocaj:
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation. CoRR abs/2104.13786 (2021) - [i7]Dejan Stepec, Danijel Skocaj:
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. CoRR abs/2104.13797 (2021) - [i6]Dejan Stepec, Tomaz Martincic, Danijel Skocaj:
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery. CoRR abs/2104.13923 (2021) - [i5]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. CoRR abs/2108.07610 (2021) - [i4]Álvaro García-Faura, Dejan Stepec, Tomaz Martincic, Danijel Skocaj:
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels. CoRR abs/2111.05125 (2021) - 2020
- [j13]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: 189855-189868 (2020) - [j12]Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj:
Segmentation-based deep-learning approach for surface-defect detection. J. Intell. Manuf. 31(3): 759-776 (2020) - [j11]Domen Tabernik, Danijel Skocaj:
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. IEEE Trans. Intell. Transp. Syst. 21(4): 1427-1440 (2020) - [c29]Jakob Bozic, Domen Tabernik, Danijel Skocaj:
End-to-end training of a two-stage neural network for defect detection. ICPR 2020: 5619-5626 - [c28]Marija Ivanovska, Janez Pers, Domen Tabernik, Danijel Skocaj:
Evaluation of Anomaly Detection Algorithms for the Real-World Applications. ICPR 2020: 6196-6203 - [c27]Jaka Sircelj, Danijel Skocaj:
Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods. ICPR 2020: 6290-6297 - [c26]Matej Dobrevski, Danijel Skocaj:
Adaptive Dynamic Window Approach for Local Navigation. IROS 2020: 6930-6936 - [c25]Dejan Stepec, Danijel Skocaj:
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis. SASHIMI@MICCAI 2020: 174-183 - [i3]Jakob Bozic, Domen Tabernik, Danijel Skocaj:
End-to-end training of a two-stage neural network for defect detection. CoRR abs/2007.07676 (2020)
2010 – 2019
- 2019
- [c24]Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj:
Deep-Learning-Based Computer Vision System for Surface-Defect Detection. ICVS 2019: 490-500 - [i2]Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj:
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection. CoRR abs/1903.08536 (2019) - [i1]Domen Tabernik, Danijel Skocaj:
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition. CoRR abs/1904.00649 (2019) - 2018
- [c23]Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj:
Teaching with Open-Source Robotic Manipulator. RiE 2018: 189-198 - [c22]Domen Racki, Dejan Tomazevic, Danijel Skocaj:
A Compact Convolutional Neural Network for Textured Surface Anomaly Detection. WACV 2018: 1331-1339 - 2017
- [j10]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): 379-402 (2017) - [c21]Luka Cehovin Zajc, Anze Rezelj, Danijel Skocaj:
Open-Source Robotic Manipulator and Sensory Platform. RiE 2017: 250-256 - 2016
- [j9]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): 823-848 (2016) - [c20]Peter Ursic, Ales Leonardis, Danijel Skocaj, Matej Kristan:
Hierarchical spatial model for 2D range data based room categorization. ICRA 2016: 4514-4521 - 2015
- [j8]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: 102-113 (2015) - 2013
- [c19]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: 425-426 - 2012
- [j7]Alen Vrecko, Ales Leonardis, Danijel Skocaj:
Modeling binding and cross-modal learning in Markov logic networks. Neurocomputing 96: 29-36 (2012) - [c18]Peter Ursic, Matej Kristan, Danijel Skocaj, Ales Leonardis:
Room classification using a hierarchical representation of space. IROS 2012: 1371-1378 - [c17]Marko Mahnic, Danijel Skocaj:
A visualization and user interface framework for heterogeneous distributed environments. MIPRO 2012: 483-488 - 2011
- [j6]Matej Kristan, Ales Leonardis, Danijel Skocaj:
Multivariate online kernel density estimation with Gaussian kernels. Pattern Recognit. 44(10-11): 2630-2642 (2011) - [c16]Alen Vrecko, Danijel Skocaj, Ales Leonardis:
Binding and Cross-Modal Learning in Markov Logic Networks. ICANNGA (2) 2011: 235-244 - [c15]Kai Zhou, Andreas Richtsfeld, Michael Zillich, Markus Vincze, Alen Vrecko, Danijel Skocaj:
Visual information abstraction for interactive robot learning. ICAR 2011: 328-334 - [c14]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: 3387-3394 - 2010
- [j5]Matej Kristan, Danijel Skocaj, Ales Leonardis:
Online kernel density estimation for interactive learning. Image Vis. Comput. 28(7): 1106-1116 (2010) - [j4]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): 282-303 (2010) - [c13]Barry Ridge, Danijel Skocaj, Ales Leonardis:
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems. ICRA 2010: 5047-5054 - [c12]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: 1250-1255 - [p3]Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt:
Multi-modal Learning. Cognitive Systems 2010: 265-309 - [p2]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:
The PlayMate System. Cognitive Systems 2010: 367-393
2000 – 2009
- 2009
- [c11]Danijel Skocaj, Matej Kristan, Ales Leonardis:
Formalization of different learning strategies in a continuous domain framework. EpiRob 2009 - [c10]Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leonardis:
A computer vision integration model for a multi-modal cognitive system. IROS 2009: 3140-3147 - 2008
- [j3]Danijel Skocaj, Ales Leonardis:
Incremental and robust learning of subspace representations. Image Vis. Comput. 26(1): 27-38 (2008) - [c9]Danijel Skocaj, Matej Kristan, Ales Leonardis:
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation. VISAPP (1) 2008: 598-604 - 2007
- [j2]Danijel Skocaj, Ales Leonardis, Horst Bischof:
Weighted and robust learning of subspace representations. Pattern Recognit. 40(5): 1556-1569 (2007) - [c8]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: 1548-1553 - [c7]Martina Uray, Danijel Skocaj, Peter M. Roth, Horst Bischof, Ales Leonardis:
Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches. BMVC 2007: 1-10 - 2006
- [j1]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): 337-350 (2006) - 2005
- [c6]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: 293-300 - 2003
- [c5]Danijel Skocaj, Ales Leonardis:
Weighted and Robust Incremental Method for Subspace Learning. ICCV 2003: 1494-1501 - [c4]Matjaz Jogan, Matej Artac, Danijel Skocaj, Ales Leonardis:
A Framework for Robust and Incremental Self-Localization of a Mobile Robot. ICVS 2003: 460-469 - 2002
- [c3]Danijel Skocaj, Horst Bischof, Ales Leonardis:
A Robust PCA Algorithm for Building Representations from Panoramic Images. ECCV (4) 2002: 761-775 - 2001
- [c2]Danijel Skocaj, Ales Leonardis:
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace. 3DIM 2001: 171-178 - 2000
- [c1]Danijel Skocaj, Ales Leonardis:
Range Image Acquisition of Objects with Non-Uniform Albedo Using Structured Light Range Sensor. ICPR 2000: 1778-1781 - [p1]Danijel Skocaj, Ales Leonardis:
Acquiring Range Images of Objects with Non-Uniform Reflectance Using High Dynamic Scale Radiance Maps. Confluence of Computer Vision and Computer Graphics 2000: 105-122
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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