| Learning hierarchical features for scene labeling C Farabet, C Couprie, L Najman, Y LeCun IEEE transactions on pattern analysis and machine intelligence 35 (8), 1915-1929, 2012 | 3607 | 2012 |
| Deep multi-scale video prediction beyond mean square error M Mathieu, C Couprie, Y LeCun arXiv preprint arXiv:1511.05440, 2015 | 2381 | 2015 |
| Semantic segmentation using adversarial networks P Luc, C Couprie, S Chintala, J Verbeek arXiv preprint arXiv:1611.08408, 2016 | 1034 | 2016 |
| Indoor semantic segmentation using depth information C Couprie, C Farabet, L Najman, Y LeCun International Conference on Learning Representations, 2013 | 667 | 2013 |
| Power watershed: A unifying graph-based optimization framework C Couprie, L Grady, L Najman, H Talbot IEEE transactions on pattern analysis and machine intelligence 33 (7), 1384-1399, 2010 | 389 | 2010 |
| Predicting deeper into the future of semantic segmentation P Luc, N Neverova, C Couprie, J Verbeek, Y LeCun Proceedings of the IEEE international conference on computer vision, 648-657, 2017 | 272 | 2017 |
| Scene parsing with multiscale feature learning, purity trees, and optimal covers C Farabet, C Couprie, L Najman, Y LeCun international conference on machine learning (ICML), 2012 | 265 | 2012 |
| Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest C Couprie, L Grady, L Najman, H Talbot 2009 IEEE 12th international conference on computer vision, 731-738, 2009 | 185 | 2009 |
| 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 | 141 | 2018 |
| Predicting future instance segmentation by forecasting convolutional features P Luc, C Couprie, Y Lecun, J Verbeek Proceedings of the european conference on computer vision (ECCV), 584-599, 2018 | 113 | 2018 |
| Deep spatio-temporal random fields for efficient video segmentation S Chandra, C Couprie, I Kokkinos Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 93 | 2018 |
| Dual constrained TV-based regularization on graphs C Couprie, L Grady, L Najman, JC Pesquet, H Talbot SIAM Journal on Imaging Sciences 6 (3), 1246-1273, 2013 | 89 | 2013 |
| Gdpp: Learning diverse generations using determinantal point processes M Elfeki, C Couprie, M Riviere, M Elhoseiny International conference on machine learning, 1774-1783, 2019 | 79 | 2019 |
| Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar J Tolan, HI Yang, B Nosarzewski, G Couairon, HV Vo, J Brandt, J Spore, ... Remote Sensing of Environment 300, 113888, 2024 | 65 | 2024 |
| Deep multi-scale video prediction beyond mean square error. arXiv 2015 M Mathieu, C Couprie, Y Lecun arXiv preprint arXiv:1511.05440, 2015 | 54 | 2015 |
| Low bandwidth video-chat compression using deep generative models M Oquab, P Stock, D Haziza, T Xu, P Zhang, O Celebi, Y Hasson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| Combinatorial continuous maximum flow C Couprie, L Grady, H Talbot, L Najman SIAM Journal on Imaging Sciences 4 (3), 905-930, 2011 | 47 | 2011 |
| Deep multi-scale video prediction MF Mathieu, C Couprie, YA Le Cun US Patent 10,430,685, 2019 | 45 | 2019 |
| Predicting deeper into the future of semantic segmentation N Neverova, P Luc, C Couprie, J Verbeek, Y LeCun arXiv preprint arXiv:1703.07684 5, 2017 | 39 | 2017 |
| 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 | 38 | 2020 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York University確認したメール アドレス: cs.nyu.edu