| Mutan: Multimodal tucker fusion for visual question answering H Ben-Younes, R Cadene, M Cord, N Thome Proceedings of the IEEE international conference on computer vision, 2612-2620, 2017 | 807 | 2017 |
| Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation T Durand, T Mordan, N Thome, M Cord Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 413 | 2017 |
| Disentangling physical dynamics from unknown factors for unsupervised video prediction VL Guen, N Thome Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 374 | 2020 |
| Murel: Multimodal relational reasoning for visual question answering R Cadene, H Ben-Younes, M Cord, N Thome Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 372 | 2019 |
| Addressing failure prediction by learning model confidence C Corbière, N Thome, A Bar-Hen, M Cord, P Pérez Advances in neural information processing systems 32, 2019 | 363 | 2019 |
| U-net transformer: Self and cross attention for medical image segmentation O Petit, N Thome, C Rambour, L Themyr, T Collins, L Soler Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 325 | 2021 |
| 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 | 281 | 2015 |
| Block: Bilinear superdiagonal fusion for visual question answering and visual relationship detection H Ben-Younes, R Cadene, N Thome, M Cord Proceedings of the AAAI conference on artificial intelligence 33 (01), 8102-8109, 2019 | 273 | 2019 |
| Pooling in image representation: The visual codeword point of view S Avila, N Thome, M Cord, E Valle, ADA AraúJo Computer Vision and Image Understanding 117 (5), 453-465, 2013 | 272 | 2013 |
| Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings M Carvalho, R Cadène, D Picard, L Soulier, N Thome, M Cord The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 254 | 2018 |
| Weldon: Weakly supervised learning of deep convolutional neural networks T Durand, N Thome, M Cord Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 214 | 2016 |
| Augmenting physical models with deep networks for complex dynamics forecasting Y Yin, V Le Guen, J Dona, E De Bézenac, I Ayed, N Thome, P Gallinari Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124012, 2021 | 191 | 2021 |
| Shape and time distortion loss for training deep time series forecasting models V Le Guen, N Thome Advances in neural information processing systems 32, 2019 | 181 | 2019 |
| A real-time, multiview fall detection system: A LHMM-based approach N Thome, S Miguet, S Ambellouis IEEE transactions on circuits and systems for video technology 18 (11), 1522 …, 2008 | 180 | 2008 |
| Gossip training for deep learning M Blot, D Picard, M Cord, N Thome arXiv preprint arXiv:1611.09726, 2016 | 139 | 2016 |
| Learning deep hierarchical visual feature coding H Goh, N Thome, M Cord, JH Lim IEEE transactions on neural networks and learning systems 25 (12), 2212-2225, 2014 | 122 | 2014 |
| T-HOG: An effective gradient-based descriptor for single line text regions R Minetto, N Thome, M Cord, NJ Leite, J Stolfi Pattern recognition 46 (3), 1078-1090, 2013 | 122 | 2013 |
| Quadruplet-wise image similarity learning MT Law, N Thome, M Cord Proceedings of the IEEE international conference on computer vision, 249-256, 2013 | 110 | 2013 |
| Dynamic scene classification: Learning motion descriptors with slow features analysis C Thériault, N Thome, M Cord Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 99 | 2013 |
| Bossa: Extended bow formalism for image classification S Avila, N Thome, M Cord, E Valle, AA Araújo 2011 18th IEEE International Conference on Image Processing, 2909-2912, 2011 | 99 | 2011 |
Matthieu CordProfessor Sorbonne University / Scientific Director valeo.ai確認したメール アドレス: sorbonne-universite.fr