Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Riccardo de Lutio"'
Autor:
Philipp Brun, Dirk N. Karger, Damaris Zurell, Patrice Descombes, Lucienne C. de Witte, Riccardo de Lutio, Jan Dirk Wegner, Niklaus E. Zimmermann
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract In the age of big data, scientific progress is fundamentally limited by our capacity to extract critical information. Here, we map fine-grained spatiotemporal distributions for thousands of species, using deep neural networks (DNNs) and ubiq
Externí odkaz:
https://doaj.org/article/dbd6beefc77c4577980fc1ddf71f7409
Autor:
Riccardo de Lutio, John Y. Park, Kimberly A. Watson, Stefano D'Aronco, Jan D. Wegner, Jan J. Wieringa, Melissa Tulig, Richard L. Pyle, Timothy J. Gallaher, Gillian Brown, Gordon Guymer, Andrew Franks, Dhahara Ranatunga, Yumiko Baba, Serge J. Belongie, Fabián A. Michelangeli, Barbara A. Ambrose, Damon P. Little
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Herbarium sheets present a unique view of the world's botanical history, evolution, and biodiversity. This makes them an all–important data source for botanical research. With the increased digitization of herbaria worldwide and advances in the dom
Externí odkaz:
https://doaj.org/article/ad8c544a72304e2f95ee3fecab90fb13
Autor:
Philipp Brun, Dirk Nikolaus Karger, Damaris Zurell, Patrice Descombes, Lucienne de Witte, Riccardo de Lutio, Jan Dirk Wegner, Niklaus E. Zimmermann
In the age of big data, scientific progress is fundamentally limited by our capacity to extract critical information. We show that recasting multispecies distribution modeling as a ranking problem allows analyzing ubiquitous citizen-science observati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d7ca947eddadb636329814324e537c
https://doi.org/10.1101/2023.05.30.542843
https://doi.org/10.1101/2023.05.30.542843
Autor:
Jan Dirk Wegner, Konrad Schindler, Stefania Russo, Stefano D'Aronco, Yihang She, Riccardo de Lutio, Philipp Brun
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing, 182
Automatic identification of plant specimens from amateur photographs could improve species range maps, thus supporting ecosystems research as well as conservation efforts. However, classifying plant specimens based on image data alone is challenging:
Autor:
Riccardo, de Lutio, John Y, Park, Kimberly A, Watson, Stefano, D'Aronco, Jan D, Wegner, Jan J, Wieringa, Melissa, Tulig, Richard L, Pyle, Timothy J, Gallaher, Gillian, Brown, Gordon, Guymer, Andrew, Franks, Dhahara, Ranatunga, Yumiko, Baba, Serge J, Belongie, Fabián A, Michelangeli, Barbara A, Ambrose, Damon P, Little
Publikováno v:
Frontiers in plant science. 12
Herbarium sheets present a unique view of the world's botanical history, evolution, and biodiversity. This makes them an all-important data source for botanical research. With the increased digitization of herbaria worldwide and advances in the domai
Publikováno v:
ICCV
Guided super-resolution is a unifying framework for several computer vision tasks where the inputs are a low-resolution source image of some target quantity (e.g., perspective depth acquired with a time-of-flight camera) and a high-resolution guide i