activity
20172022
most citedTraining Strategies for Improved Lip-reading

59 citations · 87 across the 10 of their papers we have counts for

collaborators

27 papers

cs.CV2022

SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video

Marija Jegorova, Stavros Petridis, Maja Pantic

This work focuses on the apparent emotional reaction recognition (AERR) from the video-only input, conducted in a self-supervised fashion. The network is first pre-trained on diffe…

cs.CV202259 cited

Training Strategies for Improved Lip-reading

Pingchuan Ma, Yujiang Wang, Stavros Petridis +2

Several training strategies and temporal models have been recently proposed for isolated word lip-reading in a series of independent works. However, the potential of combining the…

cs.CV2021

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…

cs.LG20211 cited

LiRA: Learning Visual Speech Representations from Audio through Self-supervision

Pingchuan Ma, Rodrigo Mira, Stavros Petridis +2

The large amount of audiovisual content being shared online today has drawn substantial attention to the prospect of audiovisual self-supervised learning. Recent works have focused…

cs.LG2021

DINO: A Conditional Energy-Based GAN for Domain Translation

Konstantinos Vougioukas, Stavros Petridis, Maja Pantic

Domain translation is the process of transforming data from one domain to another while preserving the common semantics. Some of the most popular domain translation systems are bas…

cs.CV20214 cited

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…