Vincent Drouard

17 papers A 2B 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network.
CoRR
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap
2022 J jnl
Variational Inference and Learning of Piecewise Linear Dynamical Systems.
IEEE Trans. Neural Networks Learn. Syst.
Xavier Alameda-Pineda, Vincent Drouard, Radu Patrice Horaud
2021 J jnl
A comprehensive review of past and present image inpainting methods.
Comput. Vis. Image Underst.
Jireh Jam, Connah Kendrick, Kevin Walker, Vincent Drouard, Gee-Sern Jison Hsu, Moi Hoon Yap
2021 — conf
Foreground-Guided Facial Inpainting with Fidelity Preservation.
CAIP (2)
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap
2021 J jnl
Foreground-guided Facial Inpainting with Fidelity Preservation.
CoRR
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap
2021 A conf
R-MNet: A Perceptual Adversarial Network for Image Inpainting.
WACV
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
2021 — conf
Symmetric Skip Connection Wasserstein GAN for High-resolution Facial Image Inpainting.
VISIGRAPP (4: VISAPP)
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
2020 J jnl
R-MNet: A Perceptual Adversarial Network for Image Inpainting.
CoRR
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
2020 J jnl
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting.
CoRR
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
2020 J jnl
Variational Inference and Learning of Piecewise-linear Dynamical Systems.
CoRR
Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud
2017 — —
From Images and Sounds to Face Localization and Tracking. (Localisation et suivi de visages à partir d'images et de sons).
Vincent Drouard
2017 J jnl
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions.
IEEE Trans. Image Process.
Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye O. Ba, Georgios D. Evangelidis
2017 A conf
Switching Linear Inverse-Regression Model for Tracking Head Pose.
WACV
Vincent Drouard, Sileye O. Ba, Radu Horaud
2016 J jnl
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regression.
CoRR
Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye O. Ba, Georgios D. Evangelidis
2015 B conf
A Distributed Architecture for Interacting with NAO.
ICMI
Fabien Badeig, Quentin Pelorson, Soraya Arias, Vincent Drouard, Israel D. Gebru, Xiaofei Li, Georgios D. Evangelidis, Radu Horaud
2015 B conf
Head pose estimation via probabilistic high-dimensional regression.
ICIP
Vincent Drouard, Sileye O. Ba, Georgios D. Evangelidis, Antoine Deleforge, Radu Horaud
2014 — conf
Mapping sounds onto images using binaural spectrograms.
EUSIPCO
Antoine Deleforge, Vincent Drouard, Laurent Girin, Radu Horaud