1.5k citations · 2.7k across the 37 of their papers we have counts for
10 papers · 1 filter
Features Extraction Based on an Origami Representation of 3D Landmarks
Juan Manuel Fernandez Montenegro, Mahdi Maktab Dar Oghaz, Athanasios Gkelias +2
Feature extraction analysis has been widely investigated during the last decades in computer vision community due to the large range of possible applications. Significant work has…
Learning to Infer the Depth Map of a Hand from its Color Image
Vassilis C. Nicodemou, Iason Oikonomidis, Georgios Tzimiropoulos +1
We propose the first approach to the problem of inferring the depth map of a human hand based on a single RGB image. We achieve this with a Convolutional Neural Network (CNN) that…
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs
Themos Stafylakis, Muhammad Haris Khan, Georgios Tzimiropoulos
Visual and audiovisual speech recognition are witnessing a renaissance which is largely due to the advent of deep learning methods. In this paper, we present a deep learning archit…
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
Stavros Petridis, Themos Stafylakis, Pingchuan Ma +2
Recent works in speech recognition rely either on connectionist temporal classification (CTC) or sequence-to-sequence models for character-level recognition. CTC assumes conditiona…
3D Human Body Reconstruction from a Single Image via Volumetric Regression
Aaron S. Jackson, Chris Manafas, Georgios Tzimiropoulos
This paper proposes the use of an end-to-end Convolutional Neural Network for direct reconstruction of the 3D geometry of humans via volumetric regression. The proposed method does…
Hierarchical binary CNNs for landmark localization with limited resources
Adrian Bulat, Georgios Tzimiropoulos
Our goal is to design architectures that retain the groundbreaking performance of Convolutional Neural Networks (CNNs) for landmark localization and at the same time are lightweigh…
To learn image super-resolution, use a GAN to learn how to do image degradation first
Adrian Bulat, Jing Yang, Georgios Tzimiropoulos
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 artifi…
Zero-shot keyword spotting for visual speech recognition in-the-wild
Themos Stafylakis, Georgios Tzimiropoulos
Visual keyword spotting (KWS) is the problem of estimating whether a text query occurs in a given recording using only video information. This paper focuses on visual KWS for words…
Joint Action Unit localisation and intensity estimation through heatmap regression
Enrique Sanchez-Lozano, Georgios Tzimiropoulos, Michel Valstar
This paper proposes a supervised learning approach to jointly perform facial Action Unit (AU) localisation and intensity estimation. Contrary to previous works that try to learn an…
End-to-end Audiovisual Speech Recognition
Stavros Petridis, Themos Stafylakis, Pingchuan Ma +3
Several end-to-end deep learning approaches have been recently presented which extract either audio or visual features from the input images or audio signals and perform speech rec…