fablet ronan
fablet ronan
Professor, IMT Atlantique, Lab-STICC
Verified email at - Homepage
Cited by
Cited by
Brain MRI super-resolution using deep 3D convolutional networks
CH Pham, A Ducournau, R Fablet, F Rousseau
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017á…, 2017
Automatic detection and tracking of human motion with a view-based representation
R Fablet, MJ Black
European Conference on Computer Vision, 476-491, 2002
The analog data assimilation
R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet
Monthly Weather Review 145 (10), 4093-4107, 2017
Motion recognition using nonparametric image motion models estimated from temporal and multiscale co-occurrence statistics
R Fablet, P Bouthemy
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (12), 1619á…, 2003
Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval
R Fablet, P Bouthemy, P PÚrez
IEEE Transactions on Image Processing 11 (4), 393-407, 2002
EddyNet: A deep neural network for pixel-wise classification of oceanic eddies
R Lguensat, M Sun, R Fablet, P Tandeo, E Mason, G Chen
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposiumá…, 2018
Broad impacts of fine-scale dynamics on seascape structure from zooplankton to seabirds
A Bertrand, D Grados, F Colas, S Bertrand, X Capet, A Chaigneau, ...
Nature communications 5 (1), 1-9, 2014
Multiscale brain MRI super-resolution using deep 3D convolutional networks
CH Pham, C Tor-DÝez, H Meunier, N Bednarek, R Fablet, N Passat, ...
Computerized Medical Imaging and Graphics 77, 101647, 2019
Motion characterization from temporal cooccurrences of local motion-based measures for video indexing
P Bouthemy, R Fablet
Proceedings. Fourteenth International Conference on Pattern Recognition (Catá…, 1998
Hidden Markov models: the best models for forager movements?
R Joo, S Bertrand, J Tam, R Fablet
PloS one 8 (8), e71246, 2013
Shedding light on fish otolith biomineralization using a bioenergetic approach
R Fablet, L Pecquerie, H de Pontual, H H°ie, R Millner, H Mosegaard, ...
PLoS One 6 (11), e27055, 2011
Deep learning for ocean remote sensing: an application of convolutional neural networks for super-resolution on satellite-derived SST data
A Ducournau, R Fablet
2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS), 1-6, 2016
A multi-task deep learning architecture for maritime surveillance using AIS data streams
D Nguyen, R Vadaine, G Hajduch, R Garello, R Fablet
2018 IEEE 5th International Conference on Data Science and Advancedá…, 2018
The impact of metabolism on stable isotope dynamics: a theoretical framework
L Pecquerie, RM Nisbet, R Fablet, A Lorrain, SALM Kooijman
Philosophical Transactions of the Royal Society B: Biological Sciences 365á…, 2010
Bilinear residual neural network for the identification and forecasting of geophysical dynamics
R Fablet, S Ouala, C Herzet
2018 26th European signal processing conference (EUSIPCO), 1477-1481, 2018
Automated fish age estimation from otolith images using statistical learning
R Fablet, N Le Josse
Fisheries Research 72 (2-3), 279-290, 2005
Altimetry for the future: Building on 25 years of progress
S Abdalla, AA Kolahchi, M Ablain, S Adusumilli, SA Bhowmick, ...
Advances in Space Research 68 (2), 319-363, 2021
Variational shape matching for shape classification and retrieval
K Nasreddine, A Benzinou, R Fablet
Pattern Recognition Letters 31 (12), 1650-1657, 2010
Overview of recent progress in fisheries acoustics made by Ifremer with examples from the Bay of Biscay
VM Trenkel, L Berger, S Bourguignon, M Doray, R Fablet, J MassÚ, ...
Aquatic Living Resources 22 (4), 433-445, 2009
Understanding otolith biomineralization processes: new insights into microscale spatial distribution of organic and mineral fractions from Raman microspectrometry
A Jolivet, JF Bardeau, R Fablet, YM Paulet, H de Pontual
Analytical and bioanalytical chemistry 392 (3), 551-560, 2008
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