Camille Couprie
Camille Couprie
Research scientist at Facebook AI Research
Подтвержден адрес электронной почты в домене esiee.fr
Название
Процитировано
Процитировано
Год
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
27092012
Deep multi-scale video prediction beyond mean square error
M Mathieu, C Couprie, Y LeCun
arXiv preprint arXiv:1511.05440, 2015
14042015
Semantic segmentation using adversarial networks
P Luc, C Couprie, S Chintala, J Verbeek
arXiv preprint arXiv:1611.08408, 2016
5382016
Indoor semantic segmentation using depth information
C Couprie, C Farabet, L Najman, Y LeCun
International Conference on Learning Representations, 2013
4192013
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
3522010
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
2352012
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
1892017
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
1722009
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
632013
Toward real-time indoor semantic segmentation using depth information
C Couprie, C Farabet, L Najman, Y LeCun
Journal of Machine Learning Research, 2014
47*2014
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
452018
Combinatorial continuous maximum flow
C Couprie, L Grady, H Talbot, L Najman
SIAM Journal on Imaging Sciences 4 (3), 905-930, 2011
402011
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
382018
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
332018
GDPP: Learning diverse generations using determinantal point processes
M Elfeki, C Couprie, M Riviere, M Elhoseiny
International Conference on Machine Learning, 1774-1783, 2019
302019
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
272013
Image Processing for Materials Characterization: Issues, Challenges and Opportunities
L Duval, M Moreaud, C Couprie, D Jeulin, H Talbot, J Angulo
International Conference on Image Processing, 2014
182014
BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference
A Pirayre, C Couprie, F Bidard, L Duval, JC Pesquet
BMC bioinformatics 16 (1), 1-12, 2015
162015
BRANE Clust: Cluster-assisted gene regulatory network inference refinement
A Pirayre, C Couprie, L Duval, JC Pesquet
IEEE/ACM transactions on computational biology and bioinformatics 15 (3 …, 2017
152017
Surface reconstruction using power watershed
C Couprie, X Bresson, L Najman, H Talbot, L Grady
International Symposium on Mathematical Morphology and Its Applications to …, 2011
152011
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