Camille Couprie

Journal papers

• Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot
"Power watershed: A Unifying Graph-Based Optimization Framework"
IEEE Transactions on Pattern Analysis and Machine Intelligence,
vol. 33 (7), pp 1384-1399 (2011). PDF [bib]

• Camille Couprie, Leo Grady, Hugues Talbot and Laurent Najman
"Combinatorial Continuous Maximum Flow"
SIAM Journal on Imaging Sciences,
vol. 4 (3), pp 905-930 (2011). PDF [bib]

• Clement Farabet, Camille Couprie, Laurent Najman, Yann LeCun
"Learning Hierarchical Features for Scene Labeling"
IEEE Transaction on Pattern Analysis and Machine Intelligence (2013). PDF [bib]

• Camille Couprie, Leo Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot
"Constrained TV-based regularization on graphs"
SIAM Journal on Imaging Sciences (2013). PDF

• Camille Couprie, Clement Farabet, Laurent Najman, Yann LeCun
"Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos"
Journal of Machine Learning Research, vol. 15, pp 3489-3511 (2014). PDF

• Aurélie Pirayre, Camille Couprie, Frédérique Bidard, Laurent Duval, Jean-Christophe Pesquet
"BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference"
BMC Bioinformatics, vol. 16 (2015). PDF

• Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Hénon, Mélinda Tebib, Vincent Souchon
"BARCHAN: Blob Alignment for Robust CHromatographic ANalysis"
Journal of Chromatography A (2017). PDF

• Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
"BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement"
Accepted to IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017). PDF

International Workshop papers

• Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie,
"DesIGN: Design Inspiration from Generative Networks"
ECCV Worshop on Fashion, Art and Design (2018). PDF

• Camille Couprie, Pauline Luc and Jakob Verbeek
"Joint Future Semantic and Instance Segmentation Prediction"
ECCV Worshop on Anticipating human behavior (2018). PDF

• Pauline Luc, Camille Couprie, Soumith Chintala and Jakob Verbeek
"Semantic Segmentation using Adversarial Networks"
NIPS Worshop on Adversarial training (2016). PDF

International Conference papers

• Pauline Luc, Camille Couprie, Yann LeCun, and Jakob Verbeek
"Predicting Future Instance Segmentation by Forecasting Convolutional Features"
International Conference on Computer Vision (2018). PDF

• Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
"Deep Spatio-Temporal Random Fields for Efficient Video Segmentation"
Computer Vision and Pattern Recognition (2018). PDF

• Pauline Luc*, Natalia Neverova*, Camille Couprie, Jakob Verbeek, Yann LeCun
"Predicting deeper into the future of semantic segmentation"
International Conference on Computer Vision (2017). PDF

• Michael Mathieu, Camille Couprie, Yann LeCun
"Deep multi-scale video prediction beyond mean square error"
International Conference on Learning Representation (2016). PDF

• Aurelie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
"Graph Inference enhancement with clustering: application to Gene Regulatory Network reconstruction"
European Conference on Signal Processing (2015). PDF

• Aurelie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
"Fast Convex Optimization for Connectivity Enforcement in Gene Regulatory Network Inference"
IEEE International Conference on Acoustics, Speech and Signal Processing (2015). PDF

• Laurent Duval, Maxime Moreaud, Camille Couprie, Dominique Jeulin, Hugues Talbot, Jesus Angulo
"Image Processing for Materials Characterization: Issues, Challenges and Opportunities"
IEEE International Conference on Image Processing (2014). PDF

• Camille Couprie, Clement Farabet, Yann LeCun, Laurent Najman
"Causal graph-based video segmentation"
IEEE International Conference on Image Processing (2013). PDF

• Camille Couprie, Clement Farabet, Yann LeCun, Laurent Najman
"Indoor Semantic Segmentation using depth information"
International Conference on Learning Representation (2013). PDF [bib]

• Camille Couprie
"Multi-label Energy Minimization for Object Class Segmentation"
European Conference on Signal Processing (2012). PDF [bib]

• Clement Farabet, Camille Couprie, Laurent Najman, Yann LeCun
"Scene parsing with Multiscale Feature Learning, Purity Trees and Optimal Covers"
International Conference on Machine Learning, Edinburgh, June 26–July 1 (2012). PDF [bib]

• Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo Grady
"Dual constrained TV-based regularization"
IEEE International Conference on Acoustics, Speech and Signal Processing, Prague Congress Center, Prague, Czech Republic, May 22-27, 2011, pp 945-948 (2011). PDF [Presentation] [bib]

• Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot and Leo Grady
"Surface reconstruction using Power Watershed"
International Symposium on Mathematical Morphology, Verbania-Intra, Italy, July 6-8, 2011, pp 381-392 (2011). PDF [bib]

• Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot
"Anisotropic Diffusion Using Power Watersheds"
IEEE International Conference on Image Processing, September 26-29, Hong Kong, China, pp 4153-4156, (2010). PDF [bib]

• Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot
"Power Watersheds: A New Image Segmentation Framework Extending
Graph Cuts, Random Walker and Optimal Spanning Forest"
International Conference on Computer Vision, Kyoto, Japan, September 27 - October 4, 2009, pp 731-738 (2009). PDF [Poster] [Presentation] [bib]

• Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot
"A New Image Segmentation Framework: Power Watersheds"
International Symposium on Mathematical Morphology, Groningen, The Netherlands, August 24-27, 2009, pp 53-55 (2009). PDF

PhD thesis

• Camille Couprie
"Graph based variational optimization and applications in computer vision"
Universite de Marne-la-Vallee, ESIEE Paris, October 2011. PDF Synthese en francais video