Camille Couprie - AI Profile

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Previously I worked at IFP énergies nouvelles, a french research organization active in the fields of energy, transport and environment. In 2012, I was a postdoctoral fellow in Yann LeCun's lab at the Courant Institute of Mathematical Sciences, New York University. I received my PhD in computer science from Université Paris Est / ESIEE Paris in 2011, under the supervision of Hugues Talbot, Laurent Najman and Leo Grady. I received two awards for best PhD from the EADS foundation and from the French Armament Agency, as well as an accessit Gilles Khan best PhD award.

Research Interests

Papers33 papers

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Unsupervised Image Decomposition in Vector Layers

Sbai Othman,Couprie Camille,Aubry Mathieu

ICIP, pp.1576-1580, (2020)

EIBibtex

Impact of base dataset design on few-shot image classification

Othman Sbai,Camille Couprie,Mathieu Aubry

european conference on computer vision, pp.597-613, (2020)

Bibtex

Inspirational Adversarial Image Generation

Morgane Rivière,Olivier Teytaud, Jérémy Rapin,Yann LeCun,Camille Couprie

CoRR, (2019)

Cited by5EIBibtex

GDPP: Learning Diverse Generations Using Determinantal Point Process

Mohamed Elfeki,Camille Couprie, Morgane Rivière,Mohamed Elhoseiny

arXiv: Learning, (2019)

Cited by17EIBibtex

Openly revisiting derivative-free optimization

Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache,Marie-Liesse Cauwet,Camille Couprie,Olivier Teytaud

GECCO, pp.267-268, (2019)

Cited by2EIBibtex

Predicting Future Instance Segmentations by Forecasting Convolutional Features

Pauline Luc,Camille Couprie,Yann LeCun,Jakob Verbeek

ECCV, (2018): 593-608

Cited by39EIBibtex

DeSIGN: Design Inspiration from Generative Networks

Othman Sbai,Mohamed Elhoseiny,Antoine Bordes,Yann LeCun,Camille Couprie

ECCV Workshops, (2018): 37-44

Cited by35EIBibtex

Joint Future Semantic and Instance Segmentation Prediction

Camille Couprie, Pauline Luc,Jakob Verbeek

ECCV Workshops, pp.154-168, (2018)

Cited by3EIBibtex

Vector Image Generation by Learning Parametric Layer Decomposition

Othman Sbai,Camille Couprie,Mathieu Aubry

arXiv: Computer Vision and Pattern Recognition, (2018)

EIBibtex

BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement

Aurélie Pirayre,Camille Couprie,Laurent Duval, Jean-Christophe Pesquet

IEEE/ACM Transactions on Computational Biology and Bioinformatics, no. 3 (2018): 850-860

Cited by9EIWOSBibtex

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation

Siddhartha Chandra,Camille Couprie,Iasonas Kokkinos

CVPR, (2018): 8915-8924

Cited by31EIBibtex

Predicting Deeper into the Future of Semantic Segmentation

Pauline Luc,Natalia Neverova,Camille Couprie,Jakob Verbeek,Yann LeCun

ICCV, pp.648-657, (2017)

Cited by173EIBibtex

BARCHAN: Blob Alignment for Robust CHromatographic ANalysis

Camille Couprie,Laurent Duval,Maxime Moreaud, Sophie Hénon, Mélinda Tebib,Vincent Souchon

Journal of Chromatography A, (2017): 65-72

Cited by2EIWOSBibtex

Deep multi-scale video prediction beyond mean square error

Michael Mathieu,Camille Couprie,Yann Lecun

international conference on learning representations, (2016)

Cited by1366EIBibtex

Semantic Segmentation using Adversarial Networks

Pauline Luc,Camille Couprie,Soumith Chintala,Jakob Verbeek

neural information processing systems, (2016)

Cited by517EIBibtex

Fast convex optimization for connectivity enforcement in gene regulatory network inference

Pirayre, Aurelie,Couprie, Camille,Duval, Laurent, Pesquet, Jean-Christophe

IEEE International Conference on Acoustics, Speech and SP, pp.1002-1006, (2015)

Cited by7EIWOSBibtex

BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference

Aurélie Pirayre,Camille Couprie,Frédérique Bidard,Laurent Duval, Jean-Christophe Pesquet

BMC Bioinformatics, no. 1 (2015): 369-369

Cited by12WOSEIBibtex

Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction

Aurélie Pirayre,Camille Couprie,Laurent Duval, Jean-Christophe Pesquet

European Signal Processing Conference, pp.2406-2410, (2015)

Cited by1EIBibtex

Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos

Camille Couprie,Clément Farabet,Laurent Najman,Yann LeCun

Journal of Machine Learning Research, no. 1 (2014): 3489-3511

Cited by33EIBibtex

Toward real-time indoor semantic segmentation using depth information

Camille Couprie,Camille Couprie,Clément Farabet,Laurent Najman,Laurent Najman,Yann LeCun

Journal of Machine Learning Research, (2014)

Cited by13Bibtex

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