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 (ICCV, 2009)

Anisotropic diffusion using power watersheds. - Camille Couprie; Leo J. Grady; Laurent Najman; Hugues Talbot (ICIP, 2010)

Combinatorial Continuous Maximal Flows - Camille Couprie; Leo J. Grady; Hugues Talbot; Laurent Najman (CoRR, 2010)

Dual constrained TV-based regularization. - Camille Couprie; Hugues Talbot; Jean-Christophe Pesquet; Laurent Najman; Leo J. Grady (ICASSP, 2011)

Surface Reconstruction Using Power Watershed. - Camille Couprie; Xavier Bresson; Laurent Najman; Hugues Talbot; Leo J. Grady (ISMM, 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)

Combinatorial Continuous Maximum Flow. - Camille Couprie; Leo J. Grady; Hugues Talbot; Laurent Najman (SIAM J. Imaging Sci., 2011)

Graph-based variational optimization and applications in computer vision. (Optimisation variationnelle discrète et applications en vision par ordinateur). - Camille Couprie (2011)

Multi-label energy minimization for object class segmentation. - Camille Couprie (EUSIPCO, 2012)

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. - Clément Farabet; Camille Couprie; Laurent Najman; Yann LeCun (ICML, 2012)

Causal graph-based video segmentation. - Camille Couprie; Clément Farabet; Yann LeCun; Laurent Najman (ICIP, 2013)

Causal graph-based video segmentation - Camille Couprie; Clément Farabet; Yann LeCun (CoRR, 2013)

Indoor Semantic Segmentation using depth information - Camille Couprie; Clément Farabet; Laurent Najman; Yann LeCun (ICLR, 2013)

Learning Hierarchical Features for Scene Labeling. - Clément Farabet; Camille Couprie; Laurent Najman; Yann LeCun (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Image processing for materials characterization: Issues, challenges and opportunities. - Laurent Duval; Maxime Moreaud; Camille Couprie; Dominique Jeulin; Hugues Talbot; Jesús Angulo (ICIP, 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)

Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (EUSIPCO, 2015)

Fast convex optimization for connectivity enforcement in gene regulatory network inference. - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (ICASSP, 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)

Semantic Segmentation using Adversarial Networks. - Pauline Luc; Camille Couprie; Soumith Chintala; Jakob Verbeek (CoRR, 2016)

Deep multi-scale video prediction beyond mean square error. - Michaël Mathieu; Camille Couprie; Yann LeCun (ICLR (Poster), 2016)

Predicting Deeper into the Future of Semantic Segmentation. - Pauline Luc; Natalia Neverova; Camille Couprie; Jakob Verbeek; Yann LeCun (ICCV, 2017)

BARCHAN: Blob Alignment for Robust CHromatographic ANalysis. - Camille Couprie; Laurent Duval; Maxime Moreaud; Sophie Hénon; Mélinda Tebib; Vincent Souchon (CoRR, 2017)

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. - Siddhartha Chandra; Camille Couprie; Iasonas Kokkinos (CVPR, 2018)

Joint Future Semantic and Instance Segmentation Prediction. - Camille Couprie; Pauline Luc; Jakob Verbeek (ECCV Workshops (3), 2018)

Predicting Future Instance Segmentation by Forecasting Convolutional Features. - Pauline Luc; Camille Couprie; Yann LeCun; Jakob Verbeek (ECCV (9), 2018)

DesIGN: Design Inspiration from Generative Networks. - Othman Sbai; Mohamed Elhoseiny; Antoine Bordes; Yann LeCun; Camille Couprie (ECCV Workshops (3), 2018)

Predicting Future Instance Segmentations by Forecasting Convolutional Features. - Pauline Luc; Camille Couprie; Yann LeCun; Jakob Verbeek (CoRR, 2018)

GDPP: Learning Diverse Generations Using Determinantal Point Process. - Mohamed Elfeki; Camille Couprie; Morgane Rivière; Mohamed Elhoseiny (CoRR, 2018)

Vector Image Generation by Learning Parametric Layer Decomposition. - Othman Sbai; Camille Couprie; Mathieu Aubry (CoRR, 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)

Openly revisiting derivative-free optimization. - Jérémy Rapin; Pauline Dorval; Jules Pondard; Nicolas Vasilache; Marie-Liesse Cauwet; Camille Couprie; Olivier Teytaud (GECCO (Companion), 2019)

GDPP: Learning Diverse Generations using Determinantal Point Processes. - Mohamed Elfeki; Camille Couprie; Morgane Rivière; Mohamed Elhoseiny (ICML, 2019)

Inspirational Adversarial Image Generation. - Morgane Rivière; Olivier Teytaud; Jérémy Rapin; Yann LeCun; Camille Couprie (CoRR, 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)

Impact of Base Dataset Design on Few-Shot Image Classification. - Othman Sbai; Camille Couprie; Mathieu Aubry (ECCV (16), 2020)

Evolutionary super-resolution. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Hanhe Lin; Andry Rasoanaivo; Olivier Teytaud; Camille Couprie (GECCO Companion, 2020)

Unsupervised Image Decomposition in Vector Layers. - Othman Sbai; Camille Couprie; Mathieu Aubry (ICIP, 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 (ICML, 2020)

Tarsier: Evolving Noise Injection in Super-Resolution GANs. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Andry Rasoanaivo; Hanhe Lin; Camille Couprie; Olivier Teytaud (ICPR, 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)

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 (CVPR Workshops, 2021)

Surprising Image Compositions. - Othman Sbai; Camille Couprie; Mathieu Aubry (CVPR Workshops, 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)

Inspirational Adversarial Image Generation. - Baptiste Rozière; Morgane Rivière; Olivier Teytaud; Jérémy Rapin; Yann LeCun; Camille Couprie (IEEE Trans. Image Process., 2021)

Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. - Marlène Careil; Stéphane Lathuilière; Camille Couprie; Jakob Verbeek (ECCV Workshops (2), 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)

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 V. Vo; John Brandt; Justine Spore; Sayantan Majumdar; Daniel Haziza; Janaki Vamaraju; Théo Moutakanni; Piotr Bojanowski; et al. (CoRR, 2023)

Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. - Tariq Berrada; Jakob Verbeek; Camille Couprie; Karteek Alahari (CVPR, 2024)

Guided Distillation for Semi-Supervised Instance Segmentation. - Tariq Berrada; Camille Couprie; Karteek Alahari; Jakob Verbeek (WACV, 2024)

Better (pseudo-)labels for semi-supervised instance segmentation. - François Porcher; Camille Couprie; Marc Szafraniec; Jakob Verbeek (CoRR, 2024)

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. - Huy V. Vo; Vasil Khalidov; Timothée Darcet; Théo Moutakanni; Nikita Smetanin; Marc Szafraniec; Hugo Touvron; Camille Couprie; Maxime Oquab; Armand Joulin; Hervé Jégou; Patrick Labatut; et al. (Trans. Mach. Learn. Res., 2024)

Scaling Channel-Adaptive Self-Supervised Learning. - Alice V. De Lorenci; Seung Eun Yi; Théo Moutakanni; Piotr Bojanowski; Camille Couprie; Juan C. Caicedo; Wolfgang Maximilian Anton Pernice (Trans. Mach. Learn. Res., 2025)

DINOv3. - Oriane Siméoni; Huy V. Vo; Maximilian Seitzer; Federico Baldassarre; Maxime Oquab; Cijo Jose; Vasil Khalidov; Marc Szafraniec; Seung Eun Yi; Michaël Ramamonjisoa; Francisco Massa; Daniel Haziza; et al. (CoRR, 2025)