244 citations · 1.5k across the 70 of their papers we have counts for
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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…
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic +1
Deep generative models rely on their inductive bias to facilitate generalization, especially for problems with high dimensional data, like images. However, empirical studies have s…
Lip-reading with Densely Connected Temporal Convolutional Networks
Pingchuan Ma, Yujiang Wang, Jie Shen +2
In this work, we present the Densely Connected Temporal Convolutional Network (DC-TCN) for lip-reading of isolated words. Although Temporal Convolutional Networks (TCN) have recent…
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
Abhinav Shukla, Stavros Petridis, Maja Pantic
The intuitive interaction between the audio and visual modalities is valuable for cross-modal self-supervised learning. This concept has been demonstrated for generic audiovisual t…
Towards Practical Lipreading with Distilled and Efficient Models
Pingchuan Ma, Brais Martinez, Stavros Petridis +1
Lipreading has witnessed a lot of progress due to the resurgence of neural networks. Recent works have placed emphasis on aspects such as improving performance by finding the optim…
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…