82 citations · 83 across the 3 of their papers we have counts for
6 papers
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network
Jireh Jam, Connah Kendrick, Vincent Drouard +2
Image inpainting is a key technique in image processing task to predict the missing regions and generate realistic images. Given the advancement of existing generative inpainting m…
Foreground-guided Facial Inpainting with Fidelity Preservation
Jireh Jam, Connah Kendrick, Vincent Drouard +2
Facial image inpainting, with high-fidelity preservation for image realism, is a very challenging task. This is due to the subtle texture in key facial features (component) that ar…
R-MNet: A Perceptual Adversarial Network for Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
Facial image inpainting is a problem that is widely studied, and in recent years the introduction of Generative Adversarial Networks, has led to improvements in the field. Unfortun…
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud
Modeling the temporal behavior of data is of primordial importance in many scientific and engineering fields. Baseline methods assume that both the dynamic and observation equation…
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
The state-of-the-art facial image inpainting methods achieved promising results but face realism preservation remains a challenge. This is due to limitations such as; failures in p…
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions
Vincent Drouard, Radu Horaud, Antoine Deleforge +2
Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is cha…