| Training data-efficient image transformers & distillation through attention H Touvron, M Cord, M Douze, F Massa, A Sablayrolles, H Jégou Thirty-eighth International Conference on Machine Learning (ICML), 2021 | 7759 | 2021 |
| Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez CVPR Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 1618 | 2019 |
| Going deeper with image transformers H Touvron, M Cord, A Sablayrolles, G Synnaeve, H Jégou International Conference on Computer Vision (ICCV), 2021 | 1216 | 2021 |
| Supervised learning P Cunningham, M Cord, SJ Delany Machine learning techniques for multimedia: case studies on organization and …, 2008 | 830 | 2008 |
| Resmlp: Feedforward networks for image classification with data-efficient training H Touvron, P Bojanowski, M Caron, M Cord, A El-Nouby, E Grave, ... IEEE transactions on pattern analysis and machine intelligence 45 (4), 5314-5321, 2022 | 828* | 2022 |
| Mutan: Multimodal tucker fusion for visual question answering H Ben-Younes, R Cadene, M Cord, N Thome ICCV 2017 Proc. IEEE International Conference Computer Vision, 2017 | 802 | 2017 |
| PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning A Douillard, M Cord, C Ollion, T Robert, E Valle ECCV 2020, 2020 | 786 | 2020 |
| Machine learning techniques for multimedia M Cord, P Cunningham Machine learning techniques for multimedia, 2008 | 612* | 2008 |
| Boosting Few-Shot Visual Learning with Self-Supervision S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord ICCV 2019 arXiv preprint arXiv:1906.05186, 2019 | 498 | 2019 |
| RUBi: Reducing Unimodal Biases in Visual Question Answering R Cadene, C Dancette, H Ben-younes, M Cord, D Parikh NeurIPS 2019 -- arXiv preprint arXiv:1906.10169, arXiv preprint arXiv:1906 …, 2019 | 456 | 2019 |
| Diffedit: Diffusion-based semantic image editing with mask guidance G Couairon, J Verbeek, H Schwenk, M Cord ICLR 2023 arXiv preprint arXiv:2210.11427, 2023 | 439 | 2023 |
| Deit iii: Revenge of the vit H Touvron, M Cord, H Jégou ECCV 2022 arXiv preprint arXiv:2204.07118, 2022 | 430 | 2022 |
| Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation T Durand, T Mordan, N Thome, M Cord CVPR 2017 Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 415 | 2017 |
| MUREL: Multimodal Relational Reasoning for Visual Question Answering R Cadene, H Ben-Younes, M Cord, N Thome CVPR arXiv preprint arXiv:1902.09487, 2019 | 370 | 2019 |
| Addressing Failure Prediction by Learning Model Confidence C Corbière, N Thome, A Bar-Hen, M Cord, P Pérez NeurIPS 2019 -- arXiv preprint arXiv:1910.04851, 2019 | 358 | 2019 |
| Zero-Shot Semantic Segmentation M Bucher, TH Vu, M Cord, P Pérez NeurIPS 2019 -- arXiv preprint arXiv:1906.00817, 2019 | 357 | 2019 |
| DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion A Douillard, A Ramé, G Couairon, M Cord CVPR 2022 arXiv preprint arXiv:2111.11326, 2022 | 355 | 2022 |
| Recipe recognition with large multimodal food dataset X Wang, D Kumar, N Thome, M Cord, F Precioso 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2015 | 276 | 2015 |
| Pooling in image representation: The visual codeword point of view S Avila, N Thome, M Cord, E Valle, ADA AraúJo CVIU Computer Vision and Image Understanding 117 (5), 453-465, 2013 | 273 | 2013 |
| PLOP: Learning without Forgetting for Continual Semantic Segmentation A Douillard, Y Chen, A Dapogny, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 271 | 2021 |
Nicolas ThomeProfessor of Computer Science, Sorbonne University, FranceVerified email at sorbonne-universite.fr
