| Model-blind video denoising via frame-to-frame training T Ehret, A Davy, JM Morel, G Facciolo, P Arias Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 91 | 2019 |
| Joint demosaicking and denoising by fine-tuning of bursts of raw images T Ehret, A Davy, P Arias, G Facciolo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 74 | 2019 |
| A non-local CNN for video denoising A Davy, T Ehret, JM Morel, P Arias, G Facciolo 2019 IEEE international conference on image processing (ICIP), 2409-2413, 2019 | 66 | 2019 |
| Image anomalies: A review and synthesis of detection methods T Ehret, A Davy, JM Morel, M Delbracio Journal of Mathematical Imaging and Vision 61, 710-743, 2019 | 58 | 2019 |
| Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery T Ehret, A De Truchis, M Mazzolini, JM Morel, A d’Aspremont, T Lauvaux, ... Environmental science & technology 56 (14), 10517-10529, 2022 | 50 | 2022 |
| Sat-nerf: Learning multi-view satellite photogrammetry with transient objects and shadow modeling using rpc cameras R Marí, G Facciolo, T Ehret Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 44 | 2022 |
| Non-local video denoising by CNN A Davy, T Ehret, JM Morel, P Arias, G Facciolo arXiv preprint arXiv:1811.12758, 2018 | 36 | 2018 |
| Self-supervised training for blind multi-frame video denoising V Dewil, J Anger, A Davy, T Ehret, G Facciolo, P Arias Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 34 | 2021 |
| Reducing anomaly detection in images to detection in noise A Davy, T Ehret, JM Morel, M Delbracio 2018 25th IEEE International Conference on Image Processing (ICIP), 1058-1062, 2018 | 23 | 2018 |
| Jpeg grid detection based on the number of dct zeros and its application to automatic and localized forgery detection T Nikoukhah, J Anger, T Ehret, M Colom, JM Morel, RG von Gioi IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 22 | 2019 |
| EPLL: an image denoising method using a Gaussian mixture model learned on a large set of patches S Hurault, T Ehret, P Arias Image Processing On Line 8, 465-489, 2018 | 20 | 2018 |
| GPU acceleration of NL-means, BM3D and VBM3D A Davy, T Ehret Journal of Real-Time Image Processing 18 (1), 57-74, 2021 | 17 | 2021 |
| Fast and accurate multi-frame super-resolution of satellite images J Anger, T Ehret, C de Franchis, G Facciolo ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 17 | 2020 |
| A study of two cnn demosaicking algorithms T Ehret, G Facciolo Image Processing On Line 9, 220-230, 2019 | 15 | 2019 |
| Video denoising by combining patch search and CNNs A Davy, T Ehret, JM Morel, P Arias, G Facciolo Journal of Mathematical Imaging and Vision 63, 73-88, 2021 | 14 | 2021 |
| Global patch search boosts video denoising T Ehret, P Arias, JM Morel International Conference on Computer Vision Theory and Applications 5, 124-134, 2017 | 14 | 2017 |
| Non-local kalman: A recursive video denoising algorithm T Ehret, JM Morel, P Arias 2018 25th IEEE International Conference on Image Processing (ICIP), 3204-3208, 2018 | 13 | 2018 |
| How to reduce anomaly detection in images to anomaly detection in noise T Ehret, A Davy, M Delbracio, JM Morel Image Processing On Line 9, 391-412, 2019 | 10 | 2019 |
| Multi-Date Earth Observation NeRF: The Detail Is in the Shadows R Marí, G Facciolo, T Ehret Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Monocular depth estimation: a review of the 2022 state of the art T Ehret Image Processing On Line 13, 38-56, 2023 | 8 | 2023 |
