Camille Couprie

69 papers A* 9A 1B 5C 2Misc 2Journal 38Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CHMv2: Improvements in Global Canopy Height Mapping using DINOv3. CoRR John Brandt, Seung Eun Yi, Jamie Tolan, Xinyuan Li, Peter Potapov, Jessica Ertel, Justine Spore, Huy V. Vo, Michaël Ramamonjisoa, Patrick Labatut, Piotr Bojanowski, Camille Couprie
2025	J	`jnl`	Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy. PLoS Comput. Biol. Théo Moutakanni, Camille Couprie, Seung Eun Yi, Michael Doron, Zitong Sam Chen, Nikita Moshkov, Elouan Gardes, Mathilde Caron, Hugo Touvron, Armand Joulin, Piotr Bojanowski, Wolfgang M. Pernice, Juan C. Caicedo
2025	J	`jnl`	DINOv3. CoRR 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, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	Disentangling the Factors of Convergence between Brains and Computer Vision Models. CoRR Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Rémi King
2025	J	`jnl`	Scaling Channel-Adaptive Self-Supervised Learning. Trans. Mach. Learn. Res. Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR 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, Piotr Bojanowski
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. Trans. Mach. Learn. Res. 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, Piotr Bojanowski
2024	J	`jnl`	Better (pseudo-)labels for semi-supervised instance segmentation. CoRR François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek
2024	A	`conf`	Guided Distillation for Semi-Supervised Instance Segmentation. WACV Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
2024	A*	`conf`	Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. CVPR Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari
2023	J	`jnl`	Guided Distillation for Semi-Supervised Instance Segmentation. CoRR Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
2023	J	`jnl`	Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. CoRR 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, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
2023	J	`jnl`	Unlocking Pre-trained Image Backbones for Semantic Image Synthesis. CoRR Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari
2022	J	`jnl`	Efficient conditioned face animation using frontally-viewed embedding. CoRR Maxime Oquab, Daniel Haziza, Ludovic Schwartz, Tao Xu, Katayoun Zand, Rui Wang, Peirong Liu, Camille Couprie
2022	—	`conf`	Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. ECCV Workshops (2) Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
2022	J	`jnl`	Unifying conditional and unconditional semantic image synthesis with OCO-GAN. CoRR Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
2021	J	`jnl`	Inspirational Adversarial Image Generation. IEEE Trans. Image Process. Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2021	—	`conf`	Low Bandwidth Video-Chat Compression Using Deep Generative Models. CVPR Workshops Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
2021	J	`jnl`	Self-appearance-aided Differential Evolution for Motion Transfer. CoRR Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim
2021	—	`conf`	Surprising Image Compositions. CVPR Workshops Othman Sbai, Camille Couprie, Mathieu Aubry
2021	C	`conf`	Surprising Image Compositions. ICCC Othman Sbai, Camille Couprie, Mathieu Aubry
2020	—	`conf`	Evolutionary super-resolution. GECCO Companion Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
2020	A*	`conf`	Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier
2020	—	`conf`	Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) Othman Sbai, Camille Couprie, Mathieu Aubry
2020	J	`jnl`	Impact of base dataset design on few-shot image classification. CoRR Othman Sbai, Camille Couprie, Mathieu Aubry
2020	J	`jnl`	Low Bandwidth Video-Chat Compression using Deep Generative Models. CoRR 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
2020	B	`conf`	Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020	J	`jnl`	Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020	B	`conf`	Unsupervised Image Decomposition in Vector Layers. ICIP Othman Sbai, Camille Couprie, Mathieu Aubry
2019	J	`jnl`	Fully Parallel Hyperparameter Search: Reshaped Space-Filling. CoRR Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud
2019	A*	`conf`	GDPP: Learning Diverse Generations using Determinantal Point Processes. ICML Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny
2019	J	`jnl`	Inspirational Adversarial Image Generation. CoRR Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie
2019	—	`conf`	Openly revisiting derivative-free optimization. GECCO (Companion) Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
2018	J	`jnl`	BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement. IEEE ACM Trans. Comput. Biol. Bioinform. Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
2018	J	`jnl`	DeSIGN: Design Inspiration from Generative Networks. CoRR Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
2018	A*	`conf`	Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CVPR Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
2018	J	`jnl`	Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CoRR Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
2018	—	`conf`	DesIGN: Design Inspiration from Generative Networks. ECCV Workshops (3) Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie
2018	J	`jnl`	GDPP: Learning Diverse Generations Using Determinantal Point Process. CoRR Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny
2018	—	`conf`	Joint Future Semantic and Instance Segmentation Prediction. ECCV Workshops (3) Camille Couprie, Pauline Luc, Jakob Verbeek
2018	—	`conf`	Predicting Future Instance Segmentation by Forecasting Convolutional Features. ECCV (9) Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
2018	J	`jnl`	Predicting Future Instance Segmentations by Forecasting Convolutional Features. CoRR Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
2018	J	`jnl`	Vector Image Generation by Learning Parametric Layer Decomposition. CoRR Othman Sbai, Camille Couprie, Mathieu Aubry
2017	J	`jnl`	BARCHAN: Blob Alignment for Robust CHromatographic ANalysis. CoRR Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Hénon, Mélinda Tebib, Vincent Souchon
2017	A*	`conf`	Predicting Deeper into the Future of Semantic Segmentation. ICCV Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
2017	J	`jnl`	Predicting Deeper into the Future of Semantic Segmentation. CoRR Natalia Neverova, Pauline Luc, Camille Couprie, Jakob Verbeek, Yann LeCun
2016	A*	`conf`	Deep multi-scale video prediction beyond mean square error. ICLR (Poster) Michaël Mathieu, Camille Couprie, Yann LeCun
2016	J	`jnl`	Semantic Segmentation using Adversarial Networks. CoRR Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek
2015	J	`jnl`	BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference. BMC Bioinform. Aurélie Pirayre, Camille Couprie, Frédérique Bidard, Laurent Duval, Jean-Christophe Pesquet
2015	Misc	`conf`	Fast convex optimization for connectivity enforcement in gene regulatory network inference. ICASSP Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
2015	—	`conf`	Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. EUSIPCO Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
2014	J	`jnl`	Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos. J. Mach. Learn. Res. Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
2014	B	`conf`	Image processing for materials characterization: Issues, challenges and opportunities. ICIP Laurent Duval, Maxime Moreaud, Camille Couprie, Dominique Jeulin, Hugues Talbot, Jesús Angulo
2013	J	`jnl`	Causal graph-based video segmentation CoRR Camille Couprie, Clément Farabet, Yann LeCun
2013	B	`conf`	Causal graph-based video segmentation. ICIP Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman
2013	J	`jnl`	Dual Constrained TV-based Regularization on Graphs. SIAM J. Imaging Sci. Camille Couprie, Leo J. Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot
2013	A*	`conf`	Indoor Semantic Segmentation using depth information ICLR Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
2013	J	`jnl`	Learning Hierarchical Features for Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2012	—	`conf`	Multi-label energy minimization for object class segmentation. EUSIPCO Camille Couprie
2012	J	`jnl`	Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers CoRR Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2012	A*	`conf`	Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2011	J	`jnl`	Combinatorial Continuous Maximum Flow. SIAM J. Imaging Sci. Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman
2011	Misc	`conf`	Dual constrained TV-based regularization. ICASSP Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo J. Grady
2011	—	`—`	Graph-based variational optimization and applications in computer vision. (Optimisation variationnelle discrète et applications en vision par ordinateur). Camille Couprie
2011	J	`jnl`	Power Watershed: A Unifying Graph-Based Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot
2011	C	`conf`	Surface Reconstruction Using Power Watershed. ISMM Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady
2010	B	`conf`	Anisotropic diffusion using power watersheds. ICIP Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot
2010	J	`jnl`	Combinatorial Continuous Maximal Flows CoRR Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman
2009	A*	`conf`	Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest. ICCV Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot