Zobrazeno 1 - 10
of 16 980
pro vyhledávání: '"Sandstroem"'
Autor:
Munson, Mark
Publikováno v:
The Choral Journal, 2020 Apr 01. 60(9), 8-27.
Externí odkaz:
https://www.jstor.org/stable/27033858
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Simultaneous Localization and Mapping (SLAM) based on 3D Gaussian Splats (3DGS) has recently shown promise towards more accurate, dense 3D scene maps. However, existing 3DGS-based methods fail to address the global consistency of the scene via loop c
Externí odkaz:
http://arxiv.org/abs/2408.10154
Autor:
Puigjaner, Albert Gassol, Rella, Edoardo Mello, Sandström, Erik, Chhatkuli, Ajad, Van Gool, Luc
Implicit surfaces via neural radiance fields (NeRF) have shown surprising accuracy in surface reconstruction. Despite their success in reconstructing richly textured surfaces, existing methods struggle with planar regions with weak textures, which ac
Externí odkaz:
http://arxiv.org/abs/2408.08766
Autor:
O'Donoghue, Darragh
Publikováno v:
Cinéaste, 2021 Oct 01. 46(4), 50-52.
Externí odkaz:
https://www.jstor.org/stable/27087944
Autor:
Sandström, Hilda, Rinke, Patrick
The formation of aerosol particles in the atmosphere impacts air quality and climate change, but many of the organic molecules involved remain unknown. Machine learning could aid in identifying these compounds through accelerated analysis of molecula
Externí odkaz:
http://arxiv.org/abs/2406.18171
Linear temporal logic (LTL) is used in system verification to write formal specifications for reactive systems. However, some relevant properties, e.g. non-inference in information flow security, cannot be expressed in LTL. A class of such properties
Externí odkaz:
http://arxiv.org/abs/2406.04833
Autor:
Sandström, Erik, Tateno, Keisuke, Oechsle, Michael, Niemeyer, Michael, Van Gool, Luc, Oswald, Martin R., Tombari, Federico
3D Gaussian Splatting has emerged as a powerful representation of geometry and appearance for RGB-only dense Simultaneous Localization and Mapping (SLAM), as it provides a compact dense map representation while enabling efficient and high-quality map
Externí odkaz:
http://arxiv.org/abs/2405.16544
Autor:
Thomas, Anit M., Sanilkumar, M. G., Vijayalakshmi, K. C., Hatha, A. A. Mohamed, Saramma, A. V.
Publikováno v:
Current Science, 2014 Jun . 106(12), 1643-1646.
Externí odkaz:
https://www.jstor.org/stable/24102995
Autor:
Zhang, Ganlin, Sandström, Erik, Zhang, Youmin, Patel, Manthan, Van Gool, Luc, Oswald, Martin R.
Recent advancements in RGB-only dense Simultaneous Localization and Mapping (SLAM) have predominantly utilized grid-based neural implicit encodings and/or struggle to efficiently realize global map and pose consistency. To this end, we propose an eff
Externí odkaz:
http://arxiv.org/abs/2403.19549