Camille Couprie

According to our database, Camille Couprie authored at least 52 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Better (pseudo-)labels for semi-supervised instance segmentation.

François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek

CoRR, 2024

Guided Distillation for Semi-Supervised Instance Segmentation.

Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis.

Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari

CoRR, 2023

Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar.

Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Théo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie

CoRR, 2023

2022

Efficient conditioned face animation using frontally-viewed embedding.

Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie

CoRR, 2022

Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN.

Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Inspirational Adversarial Image Generation.

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

IEEE Trans. Image Process., 2021

Self-appearance-aided Differential Evolution for Motion Transfer.

Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim

CoRR, 2021

Surprising Image Compositions.

Othman Sbai, Camille Couprie, Mathieu Aubry

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

Low Bandwidth Video-Chat Compression Using Deep Generative Models.

Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Low Bandwidth Video-Chat Compression using Deep Generative Models.

Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie

CoRR, 2020

Tarsier: Evolving Noise Injection in Super-Resolution GANs.

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.

Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier

Proceedings of the 37th International Conference on Machine Learning, 2020

Unsupervised Image Decomposition in Vector Layers.

Othman Sbai, Camille Couprie, Mathieu Aubry

Proceedings of the IEEE International Conference on Image Processing, 2020

Evolutionary super-resolution.

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Impact of Base Dataset Design on Few-Shot Image Classification.

Othman Sbai, Camille Couprie, Mathieu Aubry

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.

Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud

CoRR, 2019

Inspirational Adversarial Image Generation.

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

CoRR, 2019

GDPP: Learning Diverse Generations using Determinantal Point Processes.

Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny

Proceedings of the 36th International Conference on Machine Learning, 2019

Openly revisiting derivative-free optimization.

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement.

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

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Vector Image Generation by Learning Parametric Layer Decomposition.

Othman Sbai, Camille Couprie, Mathieu Aubry

CoRR, 2018

GDPP: Learning Diverse Generations Using Determinantal Point Process.

Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny

CoRR, 2018

Predicting Future Instance Segmentations by Forecasting Convolutional Features.

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

CoRR, 2018

DesIGN: Design Inspiration from Generative Networks.

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Predicting Future Instance Segmentation by Forecasting Convolutional Features.

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Future Semantic and Instance Segmentation Prediction.

Camille Couprie, Pauline Luc, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation.

Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

BARCHAN: Blob Alignment for Robust CHromatographic ANalysis.

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

CoRR, 2017

Predicting Deeper into the Future of Semantic Segmentation.

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Deep multi-scale video prediction beyond mean square error.

Michaël Mathieu, Camille Couprie, Yann LeCun

Proceedings of the 4th International Conference on Learning Representations, 2016

Semantic Segmentation using Adversarial Networks.

Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

CoRR, 2016

2015

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 Bioinform., 2015

Fast convex optimization for connectivity enforcement in gene regulatory network inference.

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

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

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

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

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

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

Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

J. Mach. Learn. Res., 2014

Image processing for materials characterization: Issues, challenges and opportunities.

Laurent Duval, Maxime Moreaud, Camille Couprie, Dominique Jeulin, Hugues Talbot, Jesús Angulo

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Dual Constrained TV-based Regularization on Graphs.

Camille Couprie, Leo J. Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot

SIAM J. Imaging Sci., 2013

Learning Hierarchical Features for Scene Labeling.

Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Indoor Semantic Segmentation using depth information

Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

Proceedings of the 1st International Conference on Learning Representations, 2013

Causal graph-based video segmentation

Camille Couprie, Clément Farabet, Yann LeCun

CoRR, 2013

Causal graph-based video segmentation.

Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers.

Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun

Proceedings of the 29th International Conference on Machine Learning, 2012

Multi-label energy minimization for object class segmentation.

Camille Couprie

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Graph-based variational optimization and applications in computer vision. (Optimisation variationnelle discrète et applications en vision par ordinateur).

Camille Couprie

PhD thesis, 2011

Combinatorial Continuous Maximum Flow.

Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman

SIAM J. Imaging Sci., 2011

Power Watershed: A Unifying Graph-Based Optimization Framework.

Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Surface Reconstruction Using Power Watershed.

Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady

Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

Dual constrained TV-based regularization.

Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo J. Grady

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Combinatorial Continuous Maximal Flows

Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman

CoRR, 2010

Anisotropic diffusion using power watersheds.

Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot

Proceedings of the International Conference on Image Processing, 2010

2009

Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest.

Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009