| Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch L Pibre, P Jérôme, D Ienco, M Chaumont arXiv preprint arXiv:1511.04855, 2015 | 178 | 2015 |
| Deep learning approach for classifying, detecting and predicting photometric redshifts of quasars in the Sloan Digital Sky Survey stripe 82 J Pasquet-Itam, J Pasquet Astronomy & Astrophysics 611, A97, 2018 | 80 | 2018 |
| Pelican: deep architecture for the light curve analysis J Pasquet, J Pasquet, M Chaumont, D Fouchez Astronomy & Astrophysics 627, A21, 2019 | 61 | 2019 |
| Steganalysis with cover-source mismatch and a small learning database J Pasquet, S Bringay, M Chaumont 2014 22nd European signal processing conference (EUSIPCO), 2425-2429, 2014 | 48 | 2014 |
| A CNN adapted to time series for the classification of Supernovae A Brunel, J Pasquet, J Pasquet, N Rodriguez, F Comby, D Fouchez, ... arXiv preprint arXiv:1901.00461, 2019 | 34 | 2019 |
| Deep learning for steganalysis is better than a rich model with an ensemble classifier, and is natively robust to the cover source-mismatch L Pibre, P Jérôme, D Ienco, M Chaumont arXiv preprint arXiv:1511.04855, 2015 | 34 | 2015 |
| Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods J Pasquet, T Desert, O Bartoli, M Chaumont, C Delenne, G Subsol, ... IEEE Journal of selected topics in applied earth observations and remote …, 2016 | 31 | 2016 |
| Astronomy & Astrophysics, 621 J Pasquet, E Bertin, M Treyer, S Arnouts, D Fouchez A26, 2019 | 20 | 2019 |
| Multi-camera system calibration of a low-cost remotely operated vehicle for underwater cave exploration E Nocerino, MM Nawaf, M Saccone, MB Ellefi, J Pasquet, JP Royer, ... International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 13 | 2018 |
| PhotoWeb redshift: boosting photometric redshift accuracy with large spectroscopic surveys M Shuntov, J Pasquet, S Arnouts, O Ilbert, M Treyer, E Bertin, ... Astronomy & Astrophysics 636, A90, 2020 | 11 | 2020 |
| Cultural heritage resources profiling: Ontology-based approach M Ben Ellefi, O Papini, D Merad, JM Boi, JP Royer, J Pasquet, ... Companion Proceedings of the The Web Conference 2018, 1489-1496, 2018 | 11 | 2018 |
| Gravitational birefringence and an exotic formula for redshifts C Duval, J Pasquet, T Schücker, A Tilquin Physical Review D 97 (12), 123508, 2018 | 10 | 2018 |
| Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods J Pasquet, T Desert, O Bartoli, M Chaumont, C Delenne, G Subsol, ... 2015 Joint Urban Remote Sensing Event (JURSE), 1-4, 2015 | 9 | 2015 |
| Automatic localization of tombs in aerial imagery: Application to the digital archiving of cemetery heritage M Chaumont, L Tribouillard, G Subsol, F Courtade, J Pasquet, M Derras 2013 Digital Heritage International Congress (DigitalHeritage) 1, 657-660, 2013 | 9 | 2013 |
| Photometric redshift estimation with convolutional neural networks and galaxy images: Case study of resolving biases in data-driven methods Q Lin, D Fouchez, J Pasquet, M Treyer, RA Ouahmed, S Arnouts, O Ilbert Astronomy & Astrophysics 662, A36, 2022 | 8 | 2022 |
| Deepwater archaeological survey: An interdisciplinary and complex process P Drap, O Papini, D Merad, J Pasquet, JP Royer, M Motasem Nawaf, ... 3D Recording and Interpretation for Maritime Archaeology, 135-153, 2019 | 8 | 2019 |
| Astronomy & Astrophysics, 611 J Pasquet-Itam, J Pasquet A97, 2018 | 7 | 2018 |
| Galaxy image translation with semi-supervised noise-reconstructed generative adversarial networks Q Lin, D Fouchez, J Pasquet 2020 25th International Conference on Pattern Recognition (ICPR), 5634-5641, 2021 | 6 | 2021 |
| Speeding-up a convolutional neural network by connecting an SVM network J Pasquet, M Chaumont, G Subsol, M Derras 2016 IEEE International Conference on Image Processing (ICIP), 2286-2290, 2016 | 6 | 2016 |
| Étude des réseaux de neurones sur la stéganalyse L Pibre, M Chaumont, D Ienco, J Pasquet CORESA: COmpression et REprésentation des Signaux Audiovisuels, 2016 | 6 | 2016 |
