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Danijel Skocaj
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Publications
- 2024
- [j19]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation. Pattern Recognit. Lett. 181: 113-119 (2024) - [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 - 2023
- [i12]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. CoRR abs/2311.01117 (2023) - 2022
- [c35]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection. ECCV (31) 2022: 539-554 - [i10]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DSR - A dual subspace re-projection network for surface anomaly detection. CoRR abs/2208.01521 (2022) - 2021
- [j14]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
Reconstruction by inpainting for visual anomaly detection. Pattern Recognit. 112: 107706 (2021) - [c30]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. ICCV 2021: 8310-8319 - [i5]Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. CoRR abs/2108.07610 (2021) - 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) - 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
- [c18]Peter Ursic, Matej Kristan, Danijel Skocaj, Ales Leonardis:
Room classification using a hierarchical representation of space. IROS 2012: 1371-1378 - 2011
- [j6]Matej Kristan, Ales Leonardis, Danijel Skocaj:
Multivariate online kernel density estimation with Gaussian kernels. Pattern Recognit. 44(10-11): 2630-2642 (2011) - [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) - [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 - 2009
- [c11]Danijel Skocaj, Matej Kristan, Ales Leonardis:
Formalization of different learning strategies in a continuous domain framework. EpiRob 2009 - 2008
- [c9]Danijel Skocaj, Matej Kristan, Ales Leonardis:
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation. VISAPP (1) 2008: 598-604
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