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2020 – today
- 2024
[c30]Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari:
Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. CVPR 2024: 7840-7849- [c29]Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek:
Guided Distillation for Semi-Supervised Instance Segmentation. WACV 2024: 464-472 - [i24]François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek:
Better (pseudo-)labels for semi-supervised instance segmentation. CoRR abs/2403.11675 (2024) - [i23]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:
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR abs/2405.15613 (2024) - 2023
- [i22]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:
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. CoRR abs/2304.07213 (2023) - [i21]Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek:
Guided Distillation for Semi-Supervised Instance Segmentation. CoRR abs/2308.02668 (2023) - [i20]Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari:
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis. CoRR abs/2312.13314 (2023) - 2022
- [c28]Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek:
Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. ECCV Workshops (2) 2022: 239-255 - [i19]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 abs/2203.08765 (2022) - [i18]Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek:
Unifying conditional and unconditional semantic image synthesis with OCO-GAN. CoRR abs/2211.14105 (2022) - 2021
- [j8]Baptiste Rozière, Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie:
Inspirational Adversarial Image Generation. IEEE Trans. Image Process. 30: 4036-4045 (2021) - [c27]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: 2388-2397 - [c26]Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. CVPR Workshops 2021: 3926-3930 - [c25]Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. ICCC 2021: 248-255 - [i17]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 abs/2110.04658 (2021) - 2020
- [c24]Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of Base Dataset Design on Few-Shot Image Classification. ECCV (16) 2020: 597-613 - [c23]Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie:
Evolutionary super-resolution. GECCO Companion 2020: 151-152 - [c22]Othman Sbai, Camille Couprie, Mathieu Aubry:
Unsupervised Image Decomposition in Vector Layers. ICIP 2020: 1576-1580 - [c21]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: 1338-1348 - [c20]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: 7028-7035 - [i16]Othman Sbai, Camille Couprie, Mathieu Aubry:
Impact of base dataset design on few-shot image classification. CoRR abs/2007.08872 (2020) - [i15]Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud:
Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR abs/2009.12177 (2020) - [i14]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 abs/2012.00328 (2020)
2010 – 2019
- 2019
- [c19]Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud:
Openly revisiting derivative-free optimization. GECCO (Companion) 2019: 267-268 - [c18]Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations using Determinantal Point Processes. ICML 2019: 1774-1783 - [i13]Morgane Rivière, Olivier Teytaud, Jérémy Rapin, Yann LeCun, Camille Couprie:
Inspirational Adversarial Image Generation. CoRR abs/1906.11661 (2019) - [i12]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 abs/1910.08406 (2019) - 2018
- [j7]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): 850-860 (2018) - [c17]Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CVPR 2018: 8915-8924 - [c16]Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie:
DesIGN: Design Inspiration from Generative Networks. ECCV Workshops (3) 2018: 37-44 - [c15]Camille Couprie, Pauline Luc, Jakob Verbeek:
Joint Future Semantic and Instance Segmentation Prediction. ECCV Workshops (3) 2018: 154-168 - [c14]Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek:
Predicting Future Instance Segmentation by Forecasting Convolutional Features. ECCV (9) 2018: 593-608 - [i11]Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek:
Predicting Future Instance Segmentations by Forecasting Convolutional Features. CoRR abs/1803.11496 (2018) - [i10]Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie:
DeSIGN: Design Inspiration from Generative Networks. CoRR abs/1804.00921 (2018) - [i9]Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CoRR abs/1807.03148 (2018) - [i8]Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations Using Determinantal Point Process. CoRR abs/1812.00068 (2018) - [i7]Othman Sbai, Camille Couprie, Mathieu Aubry:
Vector Image Generation by Learning Parametric Layer Decomposition. CoRR abs/1812.05484 (2018) - 2017
- [c13]Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun:
Predicting Deeper into the Future of Semantic Segmentation. ICCV 2017: 648-657 - [i6]Camille Couprie, Laurent Duval, Maxime Moreaud, Sophie Hénon, Mélinda Tebib, Vincent Souchon:
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis. CoRR abs/1702.07942 (2017) - [i5]Natalia Neverova, Pauline Luc, Camille Couprie, Jakob Verbeek, Yann LeCun:
Predicting Deeper into the Future of Semantic Segmentation. CoRR abs/1703.07684 (2017) - 2016
- [c12]Michaël Mathieu, Camille Couprie, Yann LeCun:
Deep multi-scale video prediction beyond mean square error. ICLR (Poster) 2016 - [i4]Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek:
Semantic Segmentation using Adversarial Networks. CoRR abs/1611.08408 (2016) - 2015
- [j6]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: 368:1-368:12 (2015) - [c11]Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet:
Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. EUSIPCO 2015: 2406-2410 - [c10]Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet:
Fast convex optimization for connectivity enforcement in gene regulatory network inference. ICASSP 2015: 1002-1006 - 2014
- [j5]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): 3489-3511 (2014) - [c9]Laurent Duval, Maxime Moreaud, Camille Couprie, Dominique Jeulin, Hugues Talbot, Jesús Angulo:
Image processing for materials characterization: Issues, challenges and opportunities. ICIP 2014: 4862-4866 - 2013
- [j4]Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun:
Learning Hierarchical Features for Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1915-1929 (2013) - [j3]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): 1246-1273 (2013) - [c8]Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman:
Causal graph-based video segmentation. ICIP 2013: 4249-4253 - [c7]Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun:
Indoor Semantic Segmentation using depth information. ICLR 2013 - [i3]Camille Couprie, Clément Farabet, Yann LeCun:
Causal graph-based video segmentation. CoRR abs/1301.1671 (2013) - 2012
- [c6]Camille Couprie:
Multi-label energy minimization for object class segmentation. EUSIPCO 2012: 2233-2237 - [c5]Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun:
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML 2012 - [i2]Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun:
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. CoRR abs/1202.2160 (2012) - 2011
- [b1]Camille Couprie:
Graph-based variational optimization and applications in computer vision. (Optimisation variationnelle discrète et applications en vision par ordinateur). University of Paris-Est, France, 2011 - [j2]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): 1384-1399 (2011) - [j1]Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman:
Combinatorial Continuous Maximum Flow. SIAM J. Imaging Sci. 4(3): 905-930 (2011) - [c4]Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo J. Grady:
Dual constrained TV-based regularization. ICASSP 2011: 945-948 - [c3]Camille Couprie, Xavier Bresson, Laurent Najman, Hugues Talbot, Leo J. Grady:
Surface Reconstruction Using Power Watershed. ISMM 2011: 381-392 - 2010
- [c2]Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot:
Anisotropic diffusion using power watersheds. ICIP 2010: 4153-4156 - [i1]Camille Couprie, Leo J. Grady, Hugues Talbot, Laurent Najman:
Combinatorial Continuous Maximal Flows. CoRR abs/1010.2733 (2010)
2000 – 2009
- 2009
- [c1]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: 731-738
Coauthor Index
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last updated on 2024-10-04 19:57 CEST by the dblp team
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