Centralnet: a multilayer approach for multimodal fusion V Vielzeuf, A Lechervy, S Pateux, F Jurie Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 77 | 2018 |
An occam's razor view on learning audiovisual emotion recognition with small training sets V Vielzeuf, C Kervadec, S Pateux, A Lechervy, F Jurie Proceedings of the 20th ACM International Conference on Multimodal …, 2018 | 48 | 2018 |
Rpnet: An end-to-end network for relative camera pose estimation S En, A Lechervy, F Jurie Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 34 | 2018 |
Cake: Compact and accurate k-dimensional representation of emotion C Kervadec, V Vielzeuf, S Pateux, A Lechervy, F Jurie arXiv preprint arXiv:1807.11215, 2018 | 22 | 2018 |
Multilevel sensor fusion with deep learning V Vielzeuf, A Lechervy, S Pateux, F Jurie IEEE sensors letters 3 (1), 1-4, 2018 | 20 | 2018 |
TS-NET: Combining modality specific and common features for multimodal patch matching S En, A Lechervy, F Jurie 2018 25th IEEE International Conference on Image Processing (ICIP), 3024-3028, 2018 | 16 | 2018 |
Boosted metric learning for efficient identity-based face retrieval R Negrel, A Lechervy, F Jurie 26th British Machine Vision Conference, 2015 | 9 | 2015 |
Learning to classify materials using Mueller imaging polarimetry Y Quéau, F Leporcq, A Lechervy, A Alfalou Fourteenth International Conference on Quality Control by Artificial Vision …, 2019 | 7 | 2019 |
A joint learning approach for cross domain age estimation B Bhattarai, G Sharma, A Lechervy, F Jurie 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 7 | 2016 |
Mlboost revisited: A faster metric learning algorithm for identity-based face retrieval R Negrel, A Lechervy, F Jurie BMVC: British Machine Vision Conference 2016, 2016 | 4 | 2016 |
Boosting Kernel Combination for Multi-class Image Categorization A Lechervy, PH Gosselin, F Precioso IEEE International Conference on Image Processing (ICIP), 2012 | 4 | 2012 |
Improving neural text style transfer by introducing loss function sequentiality C Rane, G Dias, A Lechervy, A Ekbal Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 3 | 2021 |
The impact of artificial intelligence CNN based denoising on FDG PET radiomics C Jaudet, K Weyts, A Lechervy, A Batalla, S Bardet, A Corroyer-Dulmont Frontiers in oncology, 3136, 2021 | 3 | 2021 |
Towards a general model of knowledge for facial analysis by multi-source transfer learning V Vielzeuf, A Lechervy, S Pateux, F Jurie arXiv preprint arXiv:1911.03222, 2019 | 3 | 2019 |
Linear kernel combination using boosting A Lechervy, PH Gosselin, F Precioso European Symposium on Artificial Neural Networks, Computational Intelligence …, 2012 | 3 | 2012 |
Active Boosting for interactive object retrieval A Lechervy, PH Gosselin, F Precioso 2010 20th International Conference on Pattern Recognition, 3268-3271, 2010 | 3 | 2010 |
Boosted kernel for image categorization A Lechervy, PH Gosselin, F Precioso Multimedia Tools and Applications, 2012 | 2 | 2012 |
Boosting actif pour la recherche interactive d'images A Lechervy, PH Gosselin, F Precioso RFIA, 2010 | 1 | 2010 |
The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI I Moummad, C Jaudet, A Lechervy, S Valable, C Raboutet, Z Soilihi, ... Cancers 14 (1), 36, 2021 | | 2021 |
Impact d’un algorithme de machine learning de resampling sur les radiomiques en IRM I Moummad, C Jaudet, A Lechervy, S Valable, C Raboutet, J Lacroix, ... 14th edition of the Cancéropôle Grand Ouest workshop, 2021 | | 2021 |