Zobrazeno 1 - 10
of 5 874
pro vyhledávání: '"A A, Audebert"'
Autor:
Ohland, Jonas Benjamin, Lebas, Nathalie, Deo, Vincent, Guyon, Olivier, Mathieu, François, Audebert, Patrick, Papadopoulos, Dimitrios
Traditional wavefront control in high-energy, high-intensity laser systems usually lacks real-time capability, failing to address dynamic aberrations. This limits experimental accuracy due to shot-to-shot fluctuations and necessitates long cool-down
Externí odkaz:
http://arxiv.org/abs/2412.08418
Autor:
Marsocci, Valerio, Jia, Yuru, Bellier, Georges Le, Kerekes, David, Zeng, Liang, Hafner, Sebastian, Gerard, Sebastian, Brune, Eric, Yadav, Ritu, Shibli, Ali, Fang, Heng, Ban, Yifang, Vergauwen, Maarten, Audebert, Nicolas, Nascetti, Andrea
Geospatial Foundation Models (GFMs) have emerged as powerful tools for extracting representations from Earth observation data, but their evaluation remains inconsistent and narrow. Existing works often evaluate on suboptimal downstream datasets and t
Externí odkaz:
http://arxiv.org/abs/2412.04204
Deep learning models have become a critical tool for analysis and classification of musical data. These models operate either on the audio signal, e.g. waveform or spectrogram, or on a symbolic representation, such as MIDI. In the latter, musical inf
Externí odkaz:
http://arxiv.org/abs/2407.17536
Publikováno v:
The 18th European Conference on Computer Vision ECCV 2024
Prompt learning has been widely adopted to efficiently adapt vision-language models (VLMs), e.g. CLIP, for few-shot image classification. Despite their success, most prompt learning methods trade-off between classification accuracy and robustness, e.
Externí odkaz:
http://arxiv.org/abs/2407.01400
Autor:
Marsocci, Valerio, Audebert, Nicolas
Large-scale "foundation models" have gained traction as a way to leverage the vast amounts of unlabeled remote sensing data collected every day. However, due to the multiplicity of Earth Observation satellites, these models should learn "sensor agnos
Externí odkaz:
http://arxiv.org/abs/2405.09922
Publikováno v:
EARTHVISION 2024 IEEE/CVF CVPR Workshop. Large Scale Computer Vision for Remote Sensing Imagery, Jun 2024, Seattle, United States
Satellite imaging generally presents a trade-off between the frequency of acquisitions and the spatial resolution of the images. Super-resolution is often advanced as a way to get the best of both worlds. In this work, we investigate multi-image supe
Externí odkaz:
http://arxiv.org/abs/2404.16409
Autor:
Bellier, Georges Le, Audebert, Nicolas
Earth Observation imagery can capture rare and unusual events, such as disasters and major landscape changes, whose visual appearance contrasts with the usual observations. Deep models trained on common remote sensing data will output drastically dif
Externí odkaz:
http://arxiv.org/abs/2404.12667
Autor:
Morgane Sarrazin, Isabelle Poncin, Patrick Fourquet, Stéphane Audebert, Luc Camoin, Yann Denis, Pierre Santucci, Christopher D. Spilling, Laurent Kremer, Vincent Le Moigne, Jean-Louis Herrmann, Jean-François Cavalier, Stéphane Canaan
Publikováno v:
Journal of Biomedical Science, Vol 31, Iss 1, Pp 1-17 (2024)
Abstract Background Mycobacterium abscessus is an emerging pathogen causing severe pulmonary infections, particularly in individuals with underlying conditions, such as cystic fibrosis or chronic obstructive pulmonary disease. Macrolides, such as cla
Externí odkaz:
https://doaj.org/article/7da3f4878e2e49cd87c8769c88076c88
Autor:
L. Brulin, S. Ducrocq, J. Estellé, G. Even, S. Martel, S. Merlin, C. Audebert, P. Croiseau, M.-P. Sanchez
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 11254-11268 (2024)
ABSTRACT: The fecal microbiota of ruminants constitutes a diversified community that has been phenotypically associated with a variety of host phenotypes, such as production and health. To gain a better understanding of the complex and interconnected
Externí odkaz:
https://doaj.org/article/421dae7e4c7d4c4095e1328ef2689c2d
Autor:
Juliane Herm, Hebun Erdur, Annette Aigner, Johannes Hengelbrock, Anselm Angermaier, Agnes Flöel, Annegret Hille, Claudia Gorski, Stephan Kinze, Ingo Schmehl, Gordian J. Hubert, Hanni Wiestler, Timo Siepmann, Martin Arndt, Christoph Gumbinger, Miriam Heyse, Joachim E. Weber, Heinrich J. Audebert, for the ANNOTeM-network
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-5 (2024)
Abstract Background Telemedicine provides specialized medical expertise in underserved areas where neurological expertise is frequently not available on a daily basis for hospitalized stroke patients. While tele-consultations are well established in
Externí odkaz:
https://doaj.org/article/5f49e30128504e3d81c55ff37e0e1531