Camille Couprie

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 41

Top Venues

University of Paris-Est, France (PHD)

Education History

University of Paris-Est, France

PHD

Publications

Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
Guided Distillation for Semi-Supervised Instance Segmentation. WACV (2024)
Huy Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR (2024)
François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek
Better (pseudo-)labels for semi-supervised instance segmentation. CoRR (2024)
Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis. CoRR (2023)
Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
Guided Distillation for Semi-Supervised Instance Segmentation. CoRR (2023)
Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakani, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. CoRR (2023)
Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. ECCV Workshops (2) (2022)
Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
Unifying conditional and unconditional semantic image synthesis with OCO-GAN. CoRR (2022)
Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie
Efficient conditioned face animation using frontally-viewed embedding. CoRR (2022)
Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim
Self-appearance-aided Differential Evolution for Motion Transfer. CoRR (2021)
Othman Sbai, Camille Couprie, Mathieu Aubry
Surprising Image Compositions. ICCC (2021)
Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
Low Bandwidth Video-Chat Compression Using Deep Generative Models. CVPR Workshops (2021)
Othman Sbai, Camille Couprie, Mathieu Aubry
Surprising Image Compositions. CVPR Workshops (2021)
Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Inspirational Adversarial Image Generation. IEEE Trans. Image Process. 30 (2021)
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
Low Bandwidth Video-Chat Compression using Deep Generative Models. CoRR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR (2020)
Othman Sbai, Camille Couprie, Mathieu Aubry
Impact of base dataset design on few-shot image classification. CoRR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
Evolutionary super-resolution. GECCO Companion (2020)
Othman Sbai, Camille Couprie, Mathieu Aubry
Unsupervised Image Decomposition in Vector Layers. ICIP (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR (2020)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML (2020)
Othman Sbai, Camille Couprie, Mathieu Aubry
Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) (2020)
Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny
GDPP: Learning Diverse Generations using Determinantal Point Processes. ICML (2019)
Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
Openly revisiting derivative-free optimization. GECCO (Companion) (2019)
Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
Inspirational Adversarial Image Generation. CoRR (2019)
Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR (2019)
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
DesIGN: Design Inspiration from Generative Networks. ECCV Workshops (3) (2018)
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
Predicting Future Instance Segmentations by Forecasting Convolutional Features. CoRR (2018)
Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CoRR (2018)
Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
DeSIGN: Design Inspiration from Generative Networks. CoRR (2018)
Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny
GDPP: Learning Diverse Generations Using Determinantal Point Process. CoRR (2018)
Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CVPR (2018)
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
Predicting Future Instance Segmentation by Forecasting Convolutional Features. ECCV (9) (2018)
Othman Sbai, Camille Couprie, Mathieu Aubry
Vector Image Generation by Learning Parametric Layer Decomposition. CoRR (2018)
Camille Couprie, Pauline Luc, Jakob Verbeek
Joint Future Semantic and Instance Segmentation Prediction. ECCV Workshops (3) (2018)
Natalia Neverova, Pauline Luc, Camille Couprie, Jakob J. Verbeek, Yann LeCun
Predicting Deeper into the Future of Semantic Segmentation. CoRR (2017)
Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Hénon, Mélinda Tebib, Vincent Souchon
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis. CoRR (2017)
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
Predicting Deeper into the Future of Semantic Segmentation. ICCV (2017)
Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek
Semantic Segmentation using Adversarial Networks. CoRR (2016)
Michaël Mathieu, Camille Couprie, Yann LeCun
Deep multi-scale video prediction beyond mean square error. ICLR (Poster) (2016)
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 Bioinform. 16 (2015)
Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. EUSIPCO (2015)
Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
Fast convex optimization for connectivity enforcement in gene regulatory network inference. ICASSP (2015)
Laurent Duval, Maxime Moreaud, Camille Couprie, Dominique Jeulin, Hugues Talbot, Jesús Angulo
Image processing for materials characterization: Issues, challenges and opportunities. ICIP (2014)
Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos. J. Mach. Learn. Res. 15 (1) (2014)
Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman
Causal graph-based video segmentation. ICIP (2013)
Camille Couprie, Leo J. Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot
Dual Constrained TV-based Regularization on Graphs. SIAM J. Imaging Sci. 6 (3) (2013)
Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
Indoor Semantic Segmentation using depth information ICLR (2013)
Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
Learning Hierarchical Features for Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35 (8) (2013)
Camille Couprie, Clément Farabet, Yann LeCun
Causal graph-based video segmentation CoRR (2013)
Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers CoRR (2012)
Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML (2012)
Camille Couprie
Multi-label energy minimization for object class segmentation. EUSIPCO (2012)
Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot
Power Watershed: A Unifying Graph-Based Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. 33 (7) (2011)
Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady
Surface Reconstruction Using Power Watershed. ISMM (2011)
Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo J. Grady
Dual constrained TV-based regularization. ICASSP (2011)
Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman
Combinatorial Continuous Maximum Flow. SIAM J. Imaging Sci. 4 (3) (2011)
Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot
Anisotropic diffusion using power watersheds. ICIP (2010)
Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman
Combinatorial Continuous Maximal Flows CoRR (2010)
Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot
Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest. ICCV (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Camille Couprie