Couprie, Camille

23 publications

TMLR 2026 DINOv3 Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michael Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Herve Jegou, Patrick Labatut, Piotr Bojanowski

ICLR 2026 Disentangling the Factors of Convergence Between Brains and DINOv3 Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Jérémy Rapin, Stéphane d'Ascoli, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Remi King

TMLR 2025 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

TMLR 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, Herve Jegou, Patrick Labatut, Piotr Bojanowski

ICLRW 2024 Better (pseudo-)labels for Semi-Supervised Instance Segmentation Francois Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek

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

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

ECCVW 2022 Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek

CVPRW 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

CVPRW 2021 Surprising Image Compositions Othman Sbai, Camille Couprie, Mathieu Aubry

ICML 2020 Fully Parallel Hyperparameter Search: Reshaped Space-Filling Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jeremy Rapin, Morgane Riviere, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier

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

ICML 2019 GDPP: Learning Diverse Generations Using Determinantal Point Processes Mohamed Elfeki, Camille Couprie, Morgane Riviere, Mohamed Elhoseiny

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

ECCVW 2018 DesIGN: Design Inspiration from Generative Networks Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie

ECCVW 2018 Joint Future Semantic and Instance Segmentation Prediction Camille Couprie, Pauline Luc, Jakob Verbeek

ECCV 2018 Predicting Future Instance Segmentation by Forecasting Convolutional Features Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

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

ICLR 2016 Deep Multi-Scale Video Prediction Beyond Mean Square Error Michaël Mathieu, Camille Couprie, Yann LeCun

JMLR 2014 Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

ICLR 2013 Indoor Semantic Segmentation Using Depth Information Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

ICML 2012 Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun

ICCV 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