Zobrazeno 1 - 10
of 3 209
pro vyhledávání: '"á. Vincze"'
Autor:
V. Zábó, D. Erát, A. Vargha, J. Harangozó, M. Iváncsics, Á. Vincze, J. Farkas, G. Balogh, R. Cowden, F. Pongrácz, J. Bognár, E. Nagy, G. Purebl, X. Gonda
Publikováno v:
European Psychiatry, Vol 67, Pp S48-S48 (2024)
Introduction Exploring the positive psychological and behavioural dimensions of people living with mental disorders can establish a firm ground in a therapeutic alliance for setting up positive life goals. Objectives The present study aimed to expl
Externí odkaz:
https://doaj.org/article/ebddf4a401b143238989336787d51bf1
Autor:
V. Zábó, D. Erát, X. Gonda, J. Harangozó, M. Iváncsics, Á. Vincze, J. Farkas, G. Balogh, R. Cowden, A. Oláh, S. Kéri, G. Purebl, A. Vargha
Publikováno v:
European Psychiatry, Vol 67, Pp S121-S121 (2024)
Introduction The Mental Health Test serves as the operationalized, comprehensive measurement of Maintainable Positive Mental Theory which defines mental health (for either the non-clinical or psychiatric population) as a high level of global well-bei
Externí odkaz:
https://doaj.org/article/b97a0d6cb5f341f79d06651739008e54
Zero-shot object pose estimation enables the retrieval of object poses from images without necessitating object-specific training. In recent approaches this is facilitated by vision foundation models (VFM), which are pre-trained models that are effec
Externí odkaz:
http://arxiv.org/abs/2411.16668
Autor:
Lin, Xiaomin, Mange, Vivek, Suresh, Arjun, Neuberger, Bernhard, Palnitkar, Aadi, Campbell, Brendan, Williams, Alan, Baxevani, Kleio, Mallette, Jeremy, Vera, Alhim, Vincze, Markus, Rekleitis, Ioannis, Tanner, Herbert G., Aloimonos, Yiannis
Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the relevance of autonomous systems for their detection and monitoring. Howe
Externí odkaz:
http://arxiv.org/abs/2409.07003
Robots are increasingly envisioned to interact in real-world scenarios, where they must continuously adapt to new situations. To detect and grasp novel objects, zero-shot pose estimators determine poses without prior knowledge. Recently, vision langu
Externí odkaz:
http://arxiv.org/abs/2409.05413
Autor:
Vincze, Csaba, Oláh, Márk
The L\'evi-Civita connection of a Riemannian manifold is a metric (compatible) linear connection, uniquely determined by its vanishing torsion. It is extremal in the sense that it has minimal torsion at each point. We can extend this idea to more gen
Externí odkaz:
http://arxiv.org/abs/2406.08033
In the paper we investigate locally symmetric polynomial metrics in special cases of Riemannian and Finslerian surfaces. The Riemannian case will be presented by a collection of basic results (regularity of second root metrics) and formulas up to Gau
Externí odkaz:
http://arxiv.org/abs/2403.09633
In a simple, undirected graph G, an edge 2-coloring is a coloring of the edges such that no vertex is incident to edges with more than 2 distinct colors. The problem maximum edge 2-coloring (ME2C) is to find an edge 2-coloring in a graph G with the g
Externí odkaz:
http://arxiv.org/abs/2403.06691
Estimating 2D-3D correspondences between RGB images and 3D space is a fundamental problem in 6D object pose estimation. Recent pose estimators use dense correspondence maps and Point-to-Point algorithms to estimate object poses. The accuracy of pose
Externí odkaz:
http://arxiv.org/abs/2402.06436
Autor:
Hönig, Peter, Thalhammer, Stefan, Weibel, Jean-Baptiste, Hirschmanner, Matthias, Vincze, Markus
Recent advances in machine learning have greatly benefited object detection and 6D pose estimation. However, textureless and metallic objects still pose a significant challenge due to few visual cues and the texture bias of CNNs. To address his issue
Externí odkaz:
http://arxiv.org/abs/2402.04878