most citedReal-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2020

ReenactNet: Real-time Full Head Reenactment

Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos +1

Video-to-video synthesis is a challenging problem aiming at learning a translation function between a sequence of semantic maps and a photo-realistic video depicting the characteri…

cs.CV2020

Real-Time Monocular 4D Face Reconstruction using the LSFM models

Mohammad Rami Koujan, Nikolai Dochev, Anastasios Roussos

4D face reconstruction from a single camera is a challenging task, especially when it is required to be performed in real time. We demonstrate a system of our own implementation th…

cs.CV2020

Head2Head: Video-based Neural Head Synthesis

Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos +1

In this paper, we propose a novel machine learning architecture for facial reenactment. In particular, contrary to the model-based approaches or recent frame-based methods that use…

cs.CV2020

DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation

Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou

Dense 3D facial motion capture from only monocular in-the-wild pairs of RGB images is a highly challenging problem with numerous applications, ranging from facial expression recogn…

cs.CV20202 cited

Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity

Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis +2

Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e.g. human-computer intelligent…