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2020 – today
- 2023
[c20]Vincent Auriau
, Emmanuel Malherbe, Matthieu Perrot:
Weak Segmentation-Guided GAN for Realistic Color Edition. ICIAP (1) 2023: 487-499- 2022
- [j8]Robin Kips, Ruowei Jiang, Sileye O. Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch:
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. Comput. Graph. Forum 41(2): 29-40 (2022) - [c19]Emmanuel Malherbe, Michel Remise, Shuai Zhang, Matthieu Perrot:
Skin Tone Diagnosis in the Wild: Towards More Robust and Inclusive User Experience Using Oriented Aleatoric Uncertainty. ACCV (2) 2022: 3-21 - [c18]Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot, Pietro Gori, Isabelle Bloch:
Hair color digitization through imaging and deep inverse graphics. Image Processing: Algorithms and Systems 2022: 1-5 - [i8]Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot, Pietro Gori, Isabelle Bloch:
Hair Color Digitization through Imaging and Deep Inverse Graphics. CoRR abs/2202.03723 (2022) - [i7]Robin Kips, Ruowei Jiang, Sileye O. Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch:
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. CoRR abs/2205.06305 (2022) - 2021
- [c17]Robin Kips, Ruowei Jiang, Sileye O. Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example. CVPR Workshops 2021: 3889-3893 - [c16]Hugo Thimonier, Julien Despois, Robin Kips, Matthieu Perrot:
Learning Long Term Style Preserving Blind Video Temporal Consistency. ICME 2021: 1-6 - [i6]Hugo Thimonier, Julien Despois, Robin Kips, Matthieu Perrot:
Learning Long-Term Style-Preserving Blind Video Temporal Consistency. CoRR abs/2103.07278 (2021) - [i5]Robin Kips, Ruowei Jiang, Sileye O. Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example. CoRR abs/2105.06407 (2021) - 2020
- [c15]Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer. ECCV Workshops (3) 2020: 280-296 - [c14]Julien Despois, Frédéric Flament, Matthieu Perrot:
AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs. ECCV Workshops (3) 2020: 613-628 - [c13]Robin Kips, Loïc Tran, Emmanuel Malherbe, Matthieu Perrot:
Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning. Material Appearance 2020: 1-8 - [i4]Robin Kips, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer. CoRR abs/2008.10298 (2020) - [i3]Julien Despois, Frédéric Flament, Matthieu Perrot:
AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs. CoRR abs/2008.10960 (2020)
2010 – 2019
- 2019
- [c12]Panagiotis-Alexandros Bokaris, Emmanuel Malherbe, Thierry Wasserman, Michael Haddad, Matthieu Perrot:
Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning. Material Appearance 2019: 1-11 - 2017
- [c11]Hadrien Bertrand, Matthieu Perrot, Roberto Ardon, Isabelle Bloch:
Classification of MRI data using deep learning and Gaussian process-based model selection. ISBI 2017: 745-748 - [i2]Hadrien Bertrand, Matthieu Perrot, Roberto Ardon, Isabelle Bloch:
Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection. CoRR abs/1701.04355 (2017) - 2016
- [j7]Sandrine Lefranc, Pauline Roca, Matthieu Perrot, Cyril Poupon, Denis Le Bihan, Jean-François Mangin, Denis Rivière:
Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction. Medical Image Anal. 30: 11-29 (2016) - 2014
- [j6]C. Kabdebon, François Leroy, H. Simmonet, Matthieu Perrot, Jessica Dubois, Ghislaine Dehaene-Lambertz:
Anatomical correlations of the international 10-20 sensor placement system in infants. NeuroImage 99: 342-356 (2014) - [c10]Sandrine Lefranc, Pauline Roca, Matthieu Perrot, Cyril Poupon, Olivier Coulon, Denis Le Bihan, Lucie Hertz-Pannier, Jean-François Mangin, Denis Rivière:
Validation of consistent inter-subject connectivity-based parcellation. ISBI 2014: 923-926 - [c9]Mathieu Dubois, Fouad Hadj-Selem, Tommy Löfstedt, Matthieu Perrot, Clara Fischer, Vincent Frouin, Edouard Duchesnay:
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. PRNI 2014: 1-4 - 2013
- [j5]Guillaume Auzias, Julien Lefèvre, Arnaud Le Troter, Clara Fischer, Matthieu Perrot, Jean Régis, Olivier Coulon:
Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP. IEEE Trans. Medical Imaging 32(5): 873-887 (2013) - 2012
- [j4]Zhong Yi Sun, Stefan Klöppel, Denis Rivière, Matthieu Perrot, Richard S. Frackowiak, Hartwig R. Siebner, Jean-François Mangin:
The effect of handedness on the shape of the central sulcus. NeuroImage 60(1): 332-339 (2012) - [c8]Grégory Operto, Guillaume Auzias, Arnaud Le Troter, Matthieu Perrot, Denis Rivière, Jessica Dubois, Petra S. Hüppi, Olivier Coulon, Jean-François Mangin:
Structural group analysis of cortical curvature and depth patterns in the developing brain. ISBI 2012: 422-425 - [i1]Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay:
Scikit-learn: Machine Learning in Python. CoRR abs/1201.0490 (2012) - 2011
- [j3]Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake VanderPlas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Edouard Duchesnay:
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12: 2825-2830 (2011) - [j2]Matthieu Perrot, Denis Rivière, Jean-François Mangin:
Cortical sulci recognition and spatial normalization. Medical Image Anal. 15(4): 529-550 (2011) - [j1]Guillaume Auzias, Olivier Colliot, Joan Alexis Glaunès, Matthieu Perrot, Jean-François Mangin, Alain Trouvé, Sylvain Baillet:
Diffeomorphic Brain Registration Under Exhaustive Sulcal Constraints. IEEE Trans. Medical Imaging 30(6): 1214-1227 (2011) - [c7]Guillaume Auzias, Julien Lefèvre, Arnaud Le Troter, Clara Fischer, Matthieu Perrot, Jean Régis, Olivier Coulon:
Model-Driven Harmonic Parameterization of the Cortical Surface. MICCAI (2) 2011: 310-317
2000 – 2009
- 2009
- [c6]Matthieu Perrot, Denis Rivière, Alan Tucholka, Jean-François Mangin:
Joint Bayesian Cortical Sulci Recognition and Spatial Normalization. IPMI 2009: 176-187 - [c5]Zhong Yi Sun, Matthieu Perrot, Alan Tucholka, Denis Rivière, Jean-François Mangin:
Constructing a Dictionary of Human Brain Folding Patterns. MICCAI (1) 2009: 117-124 - [c4]Merlin Keller, Marc Lavielle, Matthieu Perrot, Alexis Roche:
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis. MICCAI (1) 2009: 450-457 - [c3]Guillaume Auzias, Joan Alexis Glaunès, Olivier Colliot, Matthieu Perrot, Jean-François Mangin, Alain Trouvé, Sylvain Baillet:
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints. MICCAI (1) 2009: 730-738 - 2008
- [c2]Matthieu Perrot, Denis Rivière, Jean-François Mangin:
Identifying cortical sulci from localization, shape and local organization. ISBI 2008: 420-423 - [c1]Alan Tucholka, Bertrand Thirion, Matthieu Perrot, Philippe Pinel, Jean-François Mangin, Jean-Baptiste Poline:
Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?. MICCAI (2) 2008: 399-406
Coauthor Index
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