Mapping sounds onto images using binaural spectrograms. - Antoine Deleforge; Vincent Drouard; Laurent Girin; Radu Horaud (EUSIPCO, 2014)

Head pose estimation via probabilistic high-dimensional regression. - Vincent Drouard; Sileye O. Ba; Georgios D. Evangelidis; Antoine Deleforge; Radu Horaud (ICIP, 2015)

A Distributed Architecture for Interacting with NAO. - Fabien Badeig; Quentin Pelorson; Soraya Arias; Vincent Drouard; Israel D. Gebru; Xiaofei Li 001; Georgios D. Evangelidis; Radu Horaud (ICMI, 2015)

Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regression. - Vincent Drouard; Radu Horaud; Antoine Deleforge; Sileye O. Ba; Georgios D. Evangelidis (CoRR, 2016)

Switching Linear Inverse-Regression Model for Tracking Head Pose. - Vincent Drouard; Sileye O. Ba; Radu Horaud (WACV, 2017)

Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions. - Vincent Drouard; Radu Horaud; Antoine Deleforge; Sileye O. Ba; Georgios D. Evangelidis (IEEE Trans. Image Process., 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)

Foreground-Guided Facial Inpainting with Fidelity Preservation. - Jireh Jam; Connah Kendrick; Vincent Drouard; Kevin Walker; Moi Hoon Yap (CAIP (2), 2021)

Symmetric Skip Connection Wasserstein GAN for High-resolution Facial Image Inpainting. - Jireh Jam; Connah Kendrick; Vincent Drouard; Kevin Walker; Gee-Sern Hsu; Moi Hoon Yap (VISIGRAPP (4: VISAPP), 2021)

R-MNet: A Perceptual Adversarial Network for Image Inpainting. - Jireh Jam; Connah Kendrick; Vincent Drouard; Kevin Walker; Gee-Sern Hsu; Moi Hoon Yap (WACV, 2021)

A comprehensive review of past and present image inpainting methods. - Jireh Jam; Connah Kendrick; Kevin Walker; Vincent Drouard; Gee-Sern Jison Hsu; Moi Hoon Yap (Comput. Vis. Image Underst., 2021)

V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network. - Jireh Jam; Connah Kendrick; Vincent Drouard; Kevin Walker; Moi Hoon Yap (CoRR, 2022)

Variational Inference and Learning of Piecewise Linear Dynamical Systems. - Xavier Alameda-Pineda; Vincent Drouard; Radu Patrice Horaud (IEEE Trans. Neural Networks Learn. Syst., 2022)