Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Dell'Eva A."'
Neural Radiance Fields (NeRF) have recently emerged as a powerful method for image-based 3D reconstruction, but the lengthy per-scene optimization limits their practical usage, especially in resource-constrained settings. Existing approaches solve th
Externí odkaz:
http://arxiv.org/abs/2312.17561
Autor:
Massimiliano Bonifacio, Luigi Scaffidi, Maria Cristina Miggiano, Davide Facchinelli, Luca Tosoni, Sara Pezone, Davide Griguolo, Giulia Ciotti, Marco Danini, Andrea Bernardelli, Rita Bresciani, Monica Cavraro, Lara Crosera, Elena De March, Michele Dell’Eva, Laura Dorotea, Luca Frison, Lara Furlani, Ilaria Gianesello, Ester Lovato, Elena Marchetti, Gianluca Morelli, Rikard Mullai, Umberto Pizzano, Simone Zoletto, Renato Fanin, Mauro Krampera, Livio Trentin, Elisabetta Calistri, Giuseppe Carli, Gianni Binotto, Mario Tiribelli
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/92c14cd849ac49a8a88ca5fae55233cf
Generating dense point clouds from sparse raw data benefits downstream 3D understanding tasks, but existing models are limited to a fixed upsampling ratio or to a short range of integer values. In this paper, we present APU-SMOG, a Transformer-based
Externí odkaz:
http://arxiv.org/abs/2208.05274
Image-to-image (i2i) networks struggle to capture local changes because they do not affect the global scene structure. For example, translating from highway scenes to offroad, i2i networks easily focus on global color features but ignore obvious trai
Externí odkaz:
http://arxiv.org/abs/2109.04468
Navigating through intersections is one of the main challenging tasks for an autonomous vehicle. However, for the majority of intersections regulated by traffic lights, the problem could be solved by a simple rule-based method in which the autonomous
Externí odkaz:
http://arxiv.org/abs/2104.13617
Akademický článek
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Publikováno v:
PLoS ONE, Vol 18, Iss 2 (2023)
The physical boundaries of our body do not define what we perceive as self. This malleable representation arises from the neural integration of sensory information coming from the environment. Manipulating the visual and haptic cues produces changes
Externí odkaz:
https://doaj.org/article/5c3cf89e801449f5b5614103235a8e17
Akademický článek
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Publikováno v:
Worldwide Hospitality and Tourism Themes, 2020, Vol. 12, Issue 4, pp. 441-458.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WHATT-05-2020-0024
Autor:
Chuffart, Thomas, Dell'Eva, Cyril
Publikováno v:
In International Economics May 2020 161:30-40