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 2017 …, 2017 | 185 | 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 | 163 | 2002 |
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), 1619 …, 2003 | 122 | 2003 |
The analog data assimilation R Lguensat, P Tandeo, P Ailliot, M Pulido, R Fablet Monthly Weather Review 145 (10), 4093-4107, 2017 | 120 | 2017 |
Nonparametric motion characterization using causal probabilistic models for video indexing and retrieval R Fablet, P Bouthemy, P Pérez IEEE Transactions on Image Processing 11 (4), 393-407, 2002 | 112 | 2002 |
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 | 97 | 2014 |
Motion characterization from temporal cooccurrences of local motion-based measures for video indexing P Bouthemy, R Fablet Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998 | 93 | 1998 |
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 Symposium …, 2018 | 86 | 2018 |
Hidden Markov models: the best models for forager movements? R Joo, S Bertrand, J Tam, R Fablet PloS one 8 (8), e71246, 2013 | 81 | 2013 |
Multiscale brain MRI super-resolution using deep 3D convolutional networks CH Pham, C Tor-Díez, H Meunier, N Bednarek, R Fablet, N Passat, ... Computerized Medical Imaging and Graphics 77, 101647, 2019 | 80 | 2019 |
Shedding light on fish otolith biomineralization using a bioenergetic approach R Fablet, L Pecquerie, H de Pontual, H Høie, R Millner, H Mosegaard, ... PLoS One 6 (11), e27055, 2011 | 77 | 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 | 70 | 2016 |
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 365 …, 2010 | 69 | 2010 |
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 Advanced …, 2018 | 63 | 2018 |
Automated fish age estimation from otolith images using statistical learning R Fablet, N Le Josse Fisheries Research 72 (2-3), 279-290, 2005 | 61 | 2005 |
Variational shape matching for shape classification and retrieval K Nasreddine, A Benzinou, R Fablet Pattern Recognition Letters 31 (12), 1650-1657, 2010 | 58 | 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 | 57 | 2018 |
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 Massé, ... Aquatic Living Resources 22 (4), 433-445, 2009 | 57 | 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 | 56 | 2008 |
Seabed segmentation using optimized statistics of sonar textures I Karoui, R Fablet, JM Boucher, JM Augustin IEEE Transactions on geoscience and remote sensing 47 (6), 1621-1631, 2009 | 53 | 2009 |