| Density functional theory calculation on many-cores hybrid central processing unit-graphic processing unit architectures L Genovese, M Ospici, T Deutsch, JF Méhaut, A Neelov, S Goedecker The Journal of chemical physics 131 (3), 2009 | 145 | 2009 |
| Daubechies wavelets for high performance electronic structure calculations: The BigDFT project L Genovese, B Videau, M Ospici, T Deutsch, S Goedecker, JF Méhaut Comptes rendus. Mécanique 339 (2-3), 149-164, 2011 | 101 | 2011 |
| Are adversarial robustness and common perturbation robustness independant attributes? A Laugros, A Caplier, M Ospici Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 55 | 2019 |
| Online unsupervised domain adaptation for person re-identification H Rami, M Ospici, S Lathuilière Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 26 | 2022 |
| Addressing neural network robustness with mixup and targeted labeling adversarial training A Laugros, A Caplier, M Ospici Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 23 | 2020 |
| SGPU 2: a runtime system for using of large applications on clusters of hybrid nodes M Ospici, D Komatitsch, JF Méhaut, T Deutsch Second Workshop on Hybrid Multi-core Computing, held in conjunction with …, 2011 | 8 | 2011 |
| Floor plan reconstruction from sparse views: Combining graph neural network with constrained diffusion A Gueze, M Ospici, D Rohmer, MP Cani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| Prediction of fish location by combining fisheries data and sea bottom temperature forecasting M Ospici, K Sys, S Guegan-Marat International Conference on Image Analysis and Processing, 437-448, 2022 | 4 | 2022 |
| Using the overlapping score to improve corruption benchmarks A Laugros, A Caplier, M Ospici 2021 IEEE International Conference on Image Processing (ICIP), 959-963, 2021 | 3 | 2021 |
| Using synthetic corruptions to measure robustness to natural distribution shifts A Laugros, A Caplier, M Ospici arXiv preprint arXiv:2107.12052, 2021 | 3 | 2021 |
| Automatic extraction of attributes of an object within a set of digital images A Cecchi, M Ospici, P Paleo US Patent 11,256,945, 2022 | 2 | 2022 |
| Exploitation et partage de GPU dans des grappes de calcul hybrides M Ospici, L Genovese, T Deutsch Rencontres francophones du Parallélisme (RenPar’19), 2009 | 2 | 2009 |
| Person re-identification across different datasets with multi-task learning M Ospici, A Cecchi arXiv preprint arXiv:1807.09666, 2018 | 1 | 2018 |
| Programming models and execution models for parallel and hybrid architectures. Application to physics simulations. M Ospici < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2013 | 1 | 2013 |
| Modèles de programmation et d'exécution pour les architectures parallèles et hybrides. Applications à des codes de simulation pour la physique. M Ospici Université de Grenoble, 2013 | 1 | 2013 |
| Wavelet-based density functional theory calculation on massively parallel hybrid architectures L Genovese, M Ospici, B Videau, T Deutsch, JF Mehaut GPU Computing Gems Emerald Edition, 133-151, 2011 | 1 | 2011 |
| Method for calibrating an object re-identification solution implementing an array of a plurality of cameras M Ospici US Patent App. 17/961,510, 2023 | | 2023 |
| Method for training an image analysis neural network, and object re-identification method implementing such a neural network M Ospici US Patent App. 17/901,135, 2023 | | 2023 |
| Increasing the Coverage and Balance of Robustness Benchmarks by Using Non-Overlapping Corruptions A LAUGROS, A Caplier, M Ospici | | |
Thierry DeutschHead of the MEM laboratory (CEA/UGA, Grenoble, France)כתובת אימייל מאומתת בדומיין cea.fr