59 citations · 246 across the 25 of their papers we have counts for
34 papers · 1 filter
Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups
Rafael Poyiadzi, Jie Shen, Stavros Petridis +2
Apparent emotional facial expression recognition has attracted a lot of research attention recently. However, the majority of approaches ignore age differences and train a generic…
End-to-end Audio-visual Speech Recognition with Conformers
Pingchuan Ma, Stavros Petridis, Maja Pantic
In this work, we present a hybrid CTC/Attention model based on a ResNet-18 and Convolution-augmented transformer (Conformer), that can be trained in an end-to-end manner. In partic…
RoI Tanh-polar Transformer Network for Face Parsing in the Wild
Yiming Lin, Jie Shen, Yujiang Wang +1
Face parsing aims to predict pixel-wise labels for facial components of a target face in an image. Existing approaches usually crop the target face from the input image with respec…
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis +1
Although current deep learning-based face forgery detectors achieve impressive performance in constrained scenarios, they are vulnerable to samples created by unseen manipulation m…
Enhancing Facial Data Diversity with Style-based Face Aging
Markos Georgopoulos, James Oldfield, Mihalis A. Nicolaou +2
A significant limiting factor in training fair classifiers relates to the presence of dataset bias. In particular, face datasets are typically biased in terms of attributes such as…
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study
Markos Georgopoulos, Yannis Panagakis, Maja Pantic
Deep learning-based methods have pushed the limits of the state-of-the-art in face analysis. However, despite their success, these models have raised concerns regarding their bias…