| Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction V Le-Guen, N Thome Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 340 | 2020 |
| Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting V Le-Guen, Y Yin, J Dona, I Ayed, E de Bézenac, N Thome, P Gallinari arXiv preprint arXiv:2010.04456, 2020 | 179* | 2020 |
| Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models V Le-Guen, N Thome Neural Information Processing Systems (NeurIPS) 2019, 2019 | 171 | 2019 |
| Probabilistic time series forecasting with shape and temporal diversity V Le Guen, N Thome Advances in neural information processing systems 33, 4427-4440, 2020 | 51 | 2020 |
| Cartoon+ texture image decomposition by the TV-L1 model V Le-Guen Image Processing On Line 4, 204-219, 2014 | 45 | 2014 |
| A Deep Physical Model for Solar Irradiance Forecasting With Fisheye Images V Le-Guen, N Thome Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 41 | 2020 |
| Deep Time Series Forecasting with Shape and Temporal Criteria V Le-Guen, N Thome IEEE Transaction on Pattern Analysis and Machine Intelligence, 2021 | 37 | 2021 |
| A non-homogeneous model for kriging dosimetric data C Lajaunie, D Renard, A Quentin, V Le-Guen, Y Caffari Mathematical Geosciences, 1-17, 2019 | 9 | 2019 |
| Numerical model to extract materials properties map from spectrally resolved luminescence images N Paul, V Le-Guen, D Ory, L Lombez 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 70-74, 2017 | 4 | 2017 |
| Complementing brightness constancy with deep networks for optical flow prediction VL Guen, C Rambour, N Thome European Conference on Computer Vision, 121-138, 2022 | 2 | 2022 |
| Deep learning for spatio-temporal forecasting--application to solar energy VL Guen arXiv preprint arXiv:2205.03571, 2022 | 2 | 2022 |
| A Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation V Le-Guen, N Paul 2014 IEEE International Conference on Image Processing (ICIP), 4447-4451, 2014 | 1 | 2014 |
| Prévision de l’irradiance solaire par réseaux de neurones profonds à l’aide de caméras au sol V LE-GUEN, N THOME | | |
| Déconvolution d’images hyperspectrales de luminescence pour la caractérisation des cellules photovoltaïques V LE-GUEN, N PAUL, D ORY, L LOMBEZ | | |
Nicolas ThomeProfessor of Computer Science, Sorbonne University, FranceDirección de correo verificada de sorbonne-universite.fr
