… Tzimiropoulos. Human pose estimation via convolutional part heatmap regression. In ECCV…
Bulat and G. Tzimiropoulos. Binarized convolutional landmark localizers for human pose …

Automatic facial point detection plays arguably the most important role in face analysis.
Several methods have been proposed which reported their results on databases of both …

… Moreover, we denote g x and g y to be the image gradients and ϕ = arctan(g x /g y ) the
corresponding gradient orientation vector. The normalized gradient extraction function is defined …

This paper is on human pose estimation using Convolutional Neural Networks. Our main
contribution is a CNN cascaded architecture specifically designed for learning part …

… The work of G. Chrysos and S. Zafeiriou was supported by the EPSRC project EP/L026813/…
[54] G. Tzimiropoulos. Project-out cascaded regression with an application to face alignment…

3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty.
Current systems often assume the availability of multiple facial images (sometimes from the …

… The results of the warping of each image is an image g(x) containing the warped pixels x ∈
x0. Subsequently, the normalized gradients of the warped textures z(x) are computed. Finally…

Self-attention based models such as vision transformers (ViTs) have emerged as a very
competitive architecture alternative to convolutional neural networks (CNNs) in computer vision. …

This paper is on image and face super-resolution. The vast majority of prior work for this
problem focus on how to increase the resolution of low-resolution images which are artificially …

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 end, …