Matthieu Perrot

According to our database1, Matthieu Perrot authored at least 28 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Weak Segmentation-Guided GAN for Realistic Color Edition.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers.
Comput. Graph. Forum, 2022

Hair color digitization through imaging and deep inverse graphics.
Proceedings of the Image Processing: Algorithms and Systems XX, 2022

Skin Tone Diagnosis in the Wild: Towards More Robust and Inclusive User Experience Using Oriented Aleatoric Uncertainty.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Learning Long Term Style Preserving Blind Video Temporal Consistency.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning.
Proceedings of the Material Appearance 2020, Burlingame, CA, USA, January 26-30, 2020, 2020

CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning.
Proceedings of the Material Appearance 2019, Burlingame, CA, USA, January 13-17, 2019, 2019

2017
Classification of MRI data using deep learning and Gaussian process-based model selection.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction.
Medical Image Anal., 2016

2014
Anatomical correlations of the international 10-20 sensor placement system in infants.
NeuroImage, 2014

Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Validation of consistent inter-subject connectivity-based parcellation.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP.
IEEE Trans. Medical Imaging, 2013

2012
The effect of handedness on the shape of the central sulcus.
NeuroImage, 2012

Structural group analysis of cortical curvature and depth patterns in the developing brain.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Diffeomorphic Brain Registration Under Exhaustive Sulcal Constraints.
IEEE Trans. Medical Imaging, 2011

Cortical sulci recognition and spatial normalization.
Medical Image Anal., 2011

Scikit-learn: Machine Learning in Python.
J. Mach. Learn. Res., 2011

Model-Driven Harmonic Parameterization of the Cortical Surface.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2009
Constructing a Dictionary of Human Brain Folding Patterns.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Joint Bayesian Cortical Sulci Recognition and Spatial Normalization.
Proceedings of the Information Processing in Medical Imaging, 2009

2008
Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Identifying cortical sulci from localization, shape and local organization.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008


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