| Design: Design inspiration from generative networks O Sbai, M Elhoseiny, A Bordes, Y LeCun, C Couprie Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 128 | 2018 |
| Re-ranking for image retrieval and transductive few-shot classification X Shen, Y Xiao, SX Hu, O Sbai, M Aubry Advances in Neural Information Processing Systems 34, 25932-25943, 2021 | 36 | 2021 |
| Impact of base dataset design on few-shot image classification O Sbai, C Couprie, M Aubry Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 35 | 2020 |
| Surprising image compositions O Sbai, C Couprie, M Aubry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Vector image generation by learning parametric layer decomposition O Sbai, C Couprie, M Aubry arXiv preprint arXiv:1812.05484, 2018 | 9 | 2018 |
| Unsupervised image decomposition in vector layers O Sbai, C Couprie, M Aubry 2020 IEEE International Conference on Image Processing (ICIP), 1576-1580, 2020 | 7 | 2020 |
| Design inspiration from generative networks O Sbai, M Elhoseiny, A Bordes, Y LeCun, C Couprie Cornell University, 2018 | 3 | 2018 |
| Deep learning methods for visual content creation and understanding O Sbai École des Ponts ParisTech, 2021 | | 2021 |
| Supplementary material Re-ranking for image retrieval and transductive few-shot classification X Shen, Y Xiao, SX Hu, O Sbai, M Aubry | | |
Camille CouprieResearch scientist at Facebook AI Research在 esiee.fr 的电子邮件经过验证
