Követés
Camille Couprie
Camille Couprie
Research scientist at Facebook AI Research
E-mail megerősítve itt: esiee.fr
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
34842012
Deep multi-scale video prediction beyond mean square error
M Mathieu, C Couprie, Y LeCun
arXiv preprint arXiv:1511.05440, 2015
22732015
Semantic segmentation using adversarial networks
P Luc, C Couprie, S Chintala, J Verbeek
arXiv preprint arXiv:1611.08408, 2016
9872016
Indoor semantic segmentation using depth information
C Couprie, C Farabet, L Najman, Y LeCun
International Conference on Learning Representations, 2013
6342013
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
3842010
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
2622012
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
2562017
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
1812009
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
1232018
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
1002018
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
902018
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
872013
Gdpp: Learning diverse generations using determinantal point processes
M Elfeki, C Couprie, M Riviere, M Elhoseiny
International conference on machine learning, 1774-1783, 2019
702019
Deep multi-scale video prediction beyond mean square error. arXiv 2015
M Mathieu, C Couprie, Y Lecun
arXiv preprint arXiv:1511.05440, 2015
522015
Combinatorial continuous maximum flow
C Couprie, L Grady, H Talbot, L Najman
SIAM Journal on Imaging Sciences 4 (3), 905-930, 2011
472011
Deep multi-scale video prediction
MF Mathieu, C Couprie, YA Le Cun
US Patent 10,430,685, 2019
442019
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
412021
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
382017
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
342020
Causal graph-based video segmentation
C Couprie, C Farabet, Y LeCun, L Najman
Image Processing (ICIP), 2013 20th IEEE International Conference on, 4249-4253, 2013
342013
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