1.5k citations · 2.7k across the 37 of their papers we have counts for
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Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
Adrian Bulat, Georgios Tzimiropoulos
This paper addresses 2 challenging tasks: improving the quality of low resolution facial images and accurately locating the facial landmarks on such poor resolution images. To this…
Deep word embeddings for visual speech recognition
Themos Stafylakis, Georgios Tzimiropoulos
In this paper we present a deep learning architecture for extracting word embeddings for visual speech recognition. The embeddings summarize the information of the mouth region tha…
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
Aaron S. Jackson, Adrian Bulat, Vasileios Argyriou +1
3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from…
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat, Georgios Tzimiropoulos
This paper investigates how far a very deep neural network is from attaining close to saturating performance on existing 2D and 3D face alignment datasets. To this end, we make the…
Combining Residual Networks with LSTMs for Lipreading
Themos Stafylakis, Georgios Tzimiropoulos
We propose an end-to-end deep learning architecture for word-level visual speech recognition. The system is a combination of spatiotemporal convolutional, residual and bidirectiona…
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat, Georgios Tzimiropoulos
Our goal is to design architectures that retain the groundbreaking performance of CNNs for landmark localization and at the same time are lightweight, compact and suitable for appl…