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)

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)

Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis - Tariq Berrada; Jakob Verbeek; Camille Couprie; Karteek Alahari (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Guided Distillation for Semi-Supervised Instance Segmentation - Tariq Berrada; Camille Couprie; Karteek Alahari; Jakob Verbeek (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 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. (CoRR, 2024)

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)

Guided Distillation for Semi-Supervised Instance Segmentation - Tariq Berrada; Camille Couprie; Karteek Alahari; Jakob Verbeek (CoRR, 2023)

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis - Tariq Berrada; Jakob Verbeek; Camille Couprie; Karteek Alahari (CoRR, 2023)

Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN - Marlène Careil; Stéphane Lathuilière; Camille Couprie; Jakob Verbeek (Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II, 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 (CoRR, 2022)

Inspirational Adversarial Image Generation - Baptiste Rozière; Morgane Rivière; Olivier Teytaud; Jérémy Rapin; Yann LeCun; Camille Couprie (IEEE Trans. Image Process., 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 (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

Surprising Image Compositions - Othman Sbai; Camille Couprie; Mathieu Aubry (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

Surprising Image Compositions - Othman Sbai; Camille Couprie; Mathieu Aubry (Proceedings of the Twelfth International Conference on Computational Creativity, ICCC 2021, México City, México (Virtual), September 14-18, 2021, 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)

Impact of Base Dataset Design on Few-Shot Image Classification - Othman Sbai; Camille Couprie; Mathieu Aubry (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVI, 2020)

Evolutionary super-resolution - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Hanhe Lin; Andry Rasoanaivo; Olivier Teytaud; Camille Couprie (GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020, 2020)

Unsupervised Image Decomposition in Vector Layers - Othman Sbai; Camille Couprie; Mathieu Aubry (IEEE International Conference on Image Processing, ICIP 2020, Abu Dhabi, United Arab Emirates, October 25-28, 2020, 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, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

Tarsier: Evolving Noise Injection in Super-Resolution GANs - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Andry Rasoanaivo; Hanhe Lin; Camille Couprie; Olivier Teytaud (25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 2020)

Impact of base dataset design on few-shot image classification - Othman Sbai; Camille Couprie; Mathieu Aubry (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 (CoRR, 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)

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, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, 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, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 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)

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)

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation - Siddhartha Chandra; Camille Couprie; Iasonas Kokkinos (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

DesIGN: Design Inspiration from Generative Networks - Othman Sbai; Mohamed Elhoseiny; Antoine Bordes; Yann LeCun; Camille Couprie (Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III, 2018)

Joint Future Semantic and Instance Segmentation Prediction - Camille Couprie; Pauline Luc; Jakob Verbeek (Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III, 2018)

Predicting Future Instance Segmentation by Forecasting Convolutional Features - Pauline Luc; Camille Couprie; Yann LeCun; Jakob Verbeek (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IX, 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 (CoRR, 2018)

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

Predicting Deeper into the Future of Semantic Segmentation - Pauline Luc; Natalia Neverova; Camille Couprie; Jakob Verbeek; Yann LeCun (IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, 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 - Natalia Neverova; Pauline Luc; Camille Couprie; Jakob Verbeek; Yann LeCun (CoRR, 2017)

Deep multi-scale video prediction beyond mean square error - Michaël Mathieu; Camille Couprie; Yann LeCun (4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, 2016)

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

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)

Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, August 31 - September 4, 2015, 2015)

Fast convex optimization for connectivity enforcement in gene regulatory network inference - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015, 2015)

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 (2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014, 2014)

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)

Causal graph-based video segmentation - Camille Couprie; Clément Farabet; Yann LeCun; Laurent Najman (IEEE International Conference on Image Processing, ICIP 2013, Melbourne, Australia, September 15-18, 2013, 2013)

Indoor Semantic Segmentation using depth information - Camille Couprie; Clément Farabet; Laurent Najman; Yann LeCun (1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings, 2013)

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

Multi-label energy minimization for object class segmentation - Camille Couprie (Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012, Bucharest, Romania, August 27-31, 2012, 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, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012, 2012)

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

Graph-based variational optimization and applications in computer vision. (Optimisation variationnelle discrète et applications en vision par ordinateur) - Camille Couprie (University of Paris-Est, France, 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)

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, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic, 2011)

Surface Reconstruction Using Power Watershed - Camille Couprie; Xavier Bresson; Laurent Najman; Hugues Talbot; Leo J. Grady (Mathematical Morphology and Its Applications to Image and Signal Processing - 10th International Symposium, ISMM 2011, Verbania-Intra, Italy, July 6-8, 2011. Proceedings, 2011)

Anisotropic diffusion using power watersheds - Camille Couprie; Leo J. Grady; Laurent Najman; Hugues Talbot (Proceedings of the International Conference on Image Processing, ICIP 2010, September 26-29, Hong Kong, China, 2010)

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

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 (IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27 - October 4, 2009, 2009)