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pro vyhledávání: '"Perin P"'
We investigate research challenges and opportunities for visualization in motion during outdoor physical activities via an initial corpus of real-world recordings that pair egocentric video, biometrics, and think-aloud observations. With the increasi
Externí odkaz:
http://arxiv.org/abs/2409.06426
Large language models have significantly transformed multiple fields with their exceptional performance in natural language tasks, but their deployment in resource-constrained environments like edge networks presents an ongoing challenge. Decentraliz
Externí odkaz:
http://arxiv.org/abs/2408.15907
Star-shaped Tilted Hexarotors are rapidly emerging for applications highly demanding in terms of robustness and maneuverability. To ensure improvement in such features, a careful selection of the tilt angles is mandatory. In this work, we present a r
Externí odkaz:
http://arxiv.org/abs/2408.12294
Autor:
Herpich, Fabio R., Almeida-Fernandes, Felipe, Schwarz, Gustavo B. Oliveira, Lima, Erik V. R., Nakazono, Lilianne, Alonso-García, Javier, Fonseca-Faria, Marcos A., Sartori, Marilia J., Bolutavicius, Guilherme F., de Souza, Gabriel Fabiano, Hartmann, Eduardo A., Li, Liana, Espinosa, Luna, Kanaan, Antonio, Schoenell, William, Werle, Ariel, Machado-Pereira, Eduardo, Gutiérrez-Soto, Luis A., Santos-Silva, Thaís, Castelli, Analia V. Smith, Lacerda, Eduardo A. D., Barbosa, Cassio L., Perottoni, Hélio D., Lopes, Carlos E. Ferreira, Valença, Raquel Ruiz, Martho, Pierre Augusto Re, Bom, Clecio R., Bonatto, Charles J., Carvalho, Maiara S., Cernic, Vitor, Fernandes, Roberto Cid, Coelho, Paula, Cortesi, Ariana, Palma, Barbara Cubillos, Doubrawa, Lia, Alberice, Vincenzo Sivero Ferreira, Huaynasi, Fredi Quispe, Perin, Gabriel Jacob, Arancibia, Marcelo Jaque, Krabbe, Angela, Lima-Dias, Ciria, Lomelí-Núñez, Luis, de Oliveira, Raimundo Lopes, Lopes, Amanda R., Figueiredo, André Luiz, Lösch, Elismar, Navarete, Felipe, de Oliveira, Julia Mello, Overzier, Roderik, Placco, Vinicius M., Roig, Fernando V., Rubet, Mariana, Santos, André, Sasse, Victor Hugo, Thaina-Batista, Julia, Torres-Flores, Sergio, Beers, Timothy C., Alvarez-Candal, Alvaro, Akras, Stavros, Panda, Swayamtrupta, Limberg, Guilherme, Castellón, José Luis Nilo, Telles, Eduardo, Lopes, Paulo Afranio, Montaguth, Gissel Dayana Pardo, Silva, Leandro Beraldo e, Humire, Pedro K., Fernandes, Marcelo Borges, Cordeiro, Vinícius, Ribeiro, Tiago, de Oliveira, Claudia Mendes
The Southern Photometric Local Universe Survey (S-PLUS) is a project to map $\sim9300$ sq deg of the sky using twelve bands (seven narrow and five broadbands). Observations are performed with the T80-South telescope, a robotic telescope located at th
Externí odkaz:
http://arxiv.org/abs/2407.20701
Emotion is an important factor to consider when designing visualizations as it can impact the amount of trust viewers place in a visualization, how well they can retrieve information and understand the underlying data, and how much they engage with o
Externí odkaz:
http://arxiv.org/abs/2407.18427
Autor:
Kervazo, R, Congar, A, Perin, G, Lablonde, L, Butté, R, Grandjean, N, Bodiou, L, Charrier, J, Trebaol, S
We present a compact InGaN fiber Bragg grating (FBG) semiconductor laser diode operating below 400 nm in the single-mode emission regime. This compact coherent laser source exhibits an intrinsic linewidth of 14 kHz in the near-UV range and a side-mod
Externí odkaz:
http://arxiv.org/abs/2405.15462
Deep learning is closing the gap with human vision on several object recognition benchmarks. Here we investigate this gap for challenging images where objects are seen in unusual poses. We find that humans excel at recognizing objects in such poses.
Externí odkaz:
http://arxiv.org/abs/2402.03973
Deep learning is providing a wealth of new approaches to the old problem of novel view synthesis, from Neural Radiance Field (NeRF) based approaches to end-to-end style architectures. Each approach offers specific strengths but also comes with specif
Externí odkaz:
http://arxiv.org/abs/2402.02906
Autor:
Ballotta, Luca, Fabbro, Nicolò Dal, Perin, Giovanni, Schenato, Luca, Rossi, Michele, Piro, Giuseppe
Assisted and autonomous driving are rapidly gaining momentum and will soon become a reality. Artificial intelligence and machine learning are regarded as key enablers thanks to the massive amount of data that smart vehicles will collect from onboard
Externí odkaz:
http://arxiv.org/abs/2311.18741
Tilted hexarotors embody a technology that remains partially unexploited in terms of its potential, especially concerning precise and concurrent position and attitude control. Focusing on these aerial platforms, we propose two control architectures t
Externí odkaz:
http://arxiv.org/abs/2310.09655