Zobrazeno 1 - 10
of 6 599
pro vyhledávání: '"P. Sartor"'
Autor:
Sartor, Sam, Peers, Pieter
We present a novel and flexible learning-based method for generating tileable image sets. Our method goes beyond simple self-tiling, supporting sets of mutually tileable images that exhibit a high degree of diversity. To promote diversity we decouple
Externí odkaz:
http://arxiv.org/abs/2409.14184
Recently, AI systems have made remarkable progress in various tasks. Deep Reinforcement Learning(DRL) is an effective tool for agents to learn policies in low-level state spaces to solve highly complex tasks. Researchers have introduced Intrinsic Mot
Externí odkaz:
http://arxiv.org/abs/2409.11756
Deforestation is gaining an increasingly importance due to its strong influence on the sorrounding environment, especially in developing countries where population has a disadvantaged economic condition and agriculture is the main source of income. I
Externí odkaz:
http://arxiv.org/abs/2409.11186
Autor:
Friedrich, Tobias, Müller, Marco, Bauske, Adrian, Härtl, Simon, Herrmann, Johannes, Förster, David, Tietze, Tobias, Sartor, Sebastian
This paper presents the design of an autonomous race car that is self-designed, self-developed, and self-built by the Elefant Racing team at the University of Bayreuth. The system is created to compete in the Formula Student Driverless competition. I
Externí odkaz:
http://arxiv.org/abs/2406.13256
Autor:
Sartor, Sebastian, Thompson, Neil
Scaling laws have driven remarkable progress across machine learning domains like language modeling and computer vision. However, the exploration of scaling laws in embodied AI and robotics has been limited, despite the rapidly increasing usage of ma
Externí odkaz:
http://arxiv.org/abs/2405.14005
This letter presents a novel approach in the field of Active Fault Detection (AFD), by explicitly separating the task into two parts: Passive Fault Detection (PFD) and control input design. This formulation is very general, and most existing AFD lite
Externí odkaz:
http://arxiv.org/abs/2405.04938
Autor:
Sartor, Sam, Peers, Pieter
Publikováno v:
ACM SIGGRAPH Asia 2023 Conference Proceedings
We formulate SVBRDF estimation from photographs as a diffusion task. To model the distribution of spatially varying materials, we first train a novel unconditional SVBRDF diffusion backbone model on a large set of 312,165 synthetic spatially varying
Externí odkaz:
http://arxiv.org/abs/2406.06539
Autor:
Boonstra, Marjolein, Bruneault, Frédérick, Chakraborty, Subrata, Faber, Tjitske, Gallucci, Alessio, Hickman, Eleanore, Kema, Gerard, Kim, Heejin, Kooiker, Jaap, Hildt, Elisabeth, Lamadé, Annegret, Mathez, Emilie Wiinblad, Möslein, Florian, Pathuis, Genien, Sartor, Giovanni, Steege, Marijke, Stocco, Alice, Tadema, Willy, Tuimala, Jarno, van Vledder, Isabel, Vetter, Dennis, Vetter, Jana, Westerlund, Magnus, Zicari, Roberto V.
This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of Friesland, Rijks ICT Gilde-part of the Ministry of the Interior and Kingdom Relations (BZK) (b
Externí odkaz:
http://arxiv.org/abs/2404.14366
The paper reports the results of an experiment aimed at testing to what extent ChatGPT 3.5 and 4 is able to answer questions regarding privacy policies designed in the new format that we propose. In a world of human-only interpreters, there was a tra
Externí odkaz:
http://arxiv.org/abs/2402.00013
Autor:
Juliana de Souza Granja Barros, Karina Sartor, Taise Fonseca Pedroso, Hugo Vasconcelos, Vicente Artur Scopacasa, José Roberto Bottura, Rebeca Gonçalves Sena, Marcos José Salvador, Daniella Jorge de Moura
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Avian photopic curves show energy peaks at different wavelengths than humans, particularly in the ultraviolet, yellow, and red range. Therefore, an illumination system with a spectrum tailored for laying hens, encompassing the entire visible
Externí odkaz:
https://doaj.org/article/2bae648ec9504dbf91b2e45fd2ff7445
