Zobrazeno 1 - 10
of 1 756
pro vyhledávání: '"Armeni, A."'
Autor:
Armeni, A., Stelzer, B., Frasca, A., Manara, C. F., Walter, F. M., Alcalá, J. M., Schneider, P. C., Sicilia-Aguilar, A., Campbell-White, J., Fiorellino, E., Gameiro, J. F., Gangi, M.
The aim of this work is to characterize the accretion process of the classical T Tauri Star RU Lup. We studied optical high-resolution spectroscopic observations from CHIRON and ESPRESSO, obtained simultaneously with photometric data from AAVSO and T
Externí odkaz:
http://arxiv.org/abs/2408.14996
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:
Claes, R. A. B., Campbell-White, J., Manara, C. F., Frasca, A., Natta, A., Alcalá, J. M., Armeni, A., Fang, M., Lovell, J. B., Stelzer, B., Venuti, L., Wyatt, M., Queitsch, A.
Studies of the stellar and accretion properties of classical T Tauri stars (CTTS) require comparison with photospheric spectral templates. Here we aim at expanding the currently available grid of wide-wavelength coverage observed spectra of non-accre
Externí odkaz:
http://arxiv.org/abs/2407.11866
Creating 3D semantic reconstructions of environments is fundamental to many applications, especially when related to autonomous agent operation (e.g., goal-oriented navigation or object interaction and manipulation). Commonly, 3D semantic reconstruct
Externí odkaz:
http://arxiv.org/abs/2406.05849
Natural language interfaces to embodied AI are becoming more ubiquitous in our daily lives. This opens further opportunities for language-based interaction with embodied agents, such as a user instructing an agent to execute some task in a specific l
Externí odkaz:
http://arxiv.org/abs/2404.14565
Autor:
Çelen, Ata, Han, Guo, Schindler, Konrad, Van Gool, Luc, Armeni, Iro, Obukhov, Anton, Wang, Xi
Interior design allows us to be who we are and live how we want - each design is as unique as our distinct personality. However, it is not trivial for non-professionals to express and materialize this since it requires aligning functional and visual
Externí odkaz:
http://arxiv.org/abs/2404.02838
We introduce a novel framework for multiway point cloud mosaicking (named Wednesday), designed to co-align sets of partially overlapping point clouds -- typically obtained from 3D scanners or moving RGB-D cameras -- into a unified coordinate system.
Externí odkaz:
http://arxiv.org/abs/2404.00429
Research into dynamic 3D scene understanding has primarily focused on short-term change tracking from dense observations, while little attention has been paid to long-term changes with sparse observations. We address this gap with MoRE, a novel appro
Externí odkaz:
http://arxiv.org/abs/2312.09138
Autor:
Sun, Tao, Hao, Yan, Huang, Shengyu, Savarese, Silvio, Schindler, Konrad, Pollefeys, Marc, Armeni, Iro
Building 3D geometric maps of man-made spaces is a well-established and active field that is fundamental to computer vision and robotics. However, considering the evolving nature of built environments, it is essential to question the capabilities of
Externí odkaz:
http://arxiv.org/abs/2311.09346
Point cloud registration has seen recent success with several learning-based methods that focus on correspondence matching and, as such, optimize only for this objective. Following the learning step of correspondence matching, they evaluate the estim
Externí odkaz:
http://arxiv.org/abs/2309.16023