Danijel Skocaj
Cited by
Cited by
Segmentation-based deep-learning approach for surface-defect detection
D Tabernik, S Šela, J Skvarč, D Skočaj
Journal of Intelligent Manufacturing 31 (3), 759-776, 2020
Weighted and robust incremental method for subspace learning
D Skocaj, A Leonardis
Computer Vision, IEEE International Conference on 3, 1494-1494, 2003
Multivariate online kernel density estimation with Gaussian kernels
M Kristan, A Leonardis, D Skočaj
Pattern recognition 44 (10-11), 2630-2642, 2011
Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling
S Fidler, D Skocaj, A Leonardis
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (3), 337-350, 2006
Deep learning for large-scale traffic-sign detection and recognition
D Tabernik, D Skočaj
IEEE transactions on intelligent transportation systems 21 (4), 1427-1440, 2019
Reconstruction by inpainting for visual anomaly detection
V Zavrtanik, M Kristan, D Skočaj
Pattern Recognition 112, 107706, 2021
Range image acquisition of objects with non-uniform albedo using structured light range sensor
D Skocaj, A Leonardis
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000á…, 2000
On-line conservative learning for person detection
PM Roth, H Grabner, H Bischof, D Skocaj, A Leonardist
2005 IEEE International Workshop on Visual Surveillance and Performanceá…, 2005
Towards an integrated robot with multiple cognitive functions
N Hawes, A Sloman, J Wyatt, M Zillich, H Jacobsson, GJM Kruijff, ...
AAAI 7, 1548-1553, 2007
Draem-a discriminatively trained reconstruction embedding for surface anomaly detection
V Zavrtanik, M Kristan, D Skočaj
Proceedings of the IEEE/CVF International Conference on Computer Visioná…, 2021
A robust PCA algorithm for building representations from panoramic images
D Skočaj, H Bischof, A Leonardis
Computer Vision—ECCV 2002: 7th European Conference on Computer Visioná…, 2002
A compact convolutional neural network for textured surface anomaly detection
D Racki, D Tomazevic, D Skocaj
2018 IEEE winter conference on applications of computer vision (WACV), 1331-1339, 2018
Weighted and robust learning of subspace representations
D Skočaj, A Leonardis, H Bischof
Pattern recognition 40 (5), 1556-1569, 2007
Mixed supervision for surface-defect detection: From weakly to fully supervised learning
J Božič, D Tabernik, D Skočaj
Computers in Industry 129, 103459, 2021
Online kernel density estimation for interactive learning
M Kristan, D Skočaj, A Leonardis
Image and Vision Computing 28 (7), 1106-1116, 2010
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems
B Ridge, D Skočaj, A Leonardis
2010 IEEE International Conference on Robotics and Automation, 5047-5054, 2010
A system for interactive learning in dialogue with a tutor
D Skočaj, M Kristan, A Vrečko, M Mahnič, M JanÝček, GJM Kruijff, ...
2011 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2011
Incremental LDA Learning by Combining Reconstructive and Discriminative Approaches.
M Uray, D Skocaj, PM Roth, H Bischof, A Leonardis
BMVC 2007, 272-281, 2007
Self-understanding and self-extension: A systems and representational approach
JL Wyatt, A Aydemir, M Brenner, M Hanheide, N Hawes, P Jensfelt, ...
IEEE Transactions on Autonomous Mental Development 2 (4), 282-303, 2010
Incremental and robust learning of subspace representations
D Skočaj, A Leonardis
Image and Vision Computing 26 (1), 27-38, 2008
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