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

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

International Conference papers

    • 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
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