| 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 | 3242 | 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 | 943 | 2019 |
| 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 | 592 | 2017 |
| Going deeper with image transformers H Touvron, M Cord, A Sablayrolles, G Synnaeve, H Jégou International Conference on Computer Vision (ICCV), 2021 | 556 | 2021 |
| Machine learning techniques for multimedia M Cord, P Cunningham Machine learning techniques for multimedia, 2008 | 454* | 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 | 363 | 2019 |
| 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 | 357 | 2017 |
| Supervised learning P Cunningham, M Cord, SJ Delany Machine learning techniques for multimedia: case studies on organization and …, 2008 | 351 | 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, 2022 | 347* | 2022 |
| PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning A Douillard, M Cord, C Ollion, T Robert, E Valle ECCV 2020, 2020 | 317 | 2020 |
| MUREL: Multimodal Relational Reasoning for Visual Question Answering R Cadene, H Ben-Younes, M Cord, N Thome CVPR arXiv preprint arXiv:1902.09487, 2019 | 277 | 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 | 266 | 2019 |
| 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 | 245 | 2013 |
| 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 | 194 | 2019 |
| Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings M Carvalho, R Cadène, D Picard, L Soulier, N Thome, M Cord ACM SIGIR arXiv preprint arXiv:1804.11146, 2018 | 193 | 2018 |
| Weldon: Weakly supervised learning of deep convolutional neural networks T Durand, N Thome, M Cord CVPR 2016 Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 187 | 2016 |
| BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection H Ben-Younes, R Cadene, N Thome, M Cord AAAI conference 2019, 2019 | 179 | 2019 |
| 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 | 178 | 2015 |
| Zero-Shot Semantic Segmentation M Bucher, TH Vu, M Cord, P Pérez NeurIPS 2019 -- arXiv preprint arXiv:1906.00817, 2019 | 162 | 2019 |
| DADA: Depth-aware Domain Adaptation in Semantic Segmentation TH Vu, H Jain, M Bucher, M Cord, P Pérez ICCV 2019 arXiv preprint arXiv:1904.01886, 2019 | 155 | 2019 |
Nicolas ThomeProfessor of Computer Science, Sorbonne University, FranceVerified email at sorbonne-universite.fr
