7 citations · 19 across the 34 of their papers we have counts for
3 papers · 1 filter
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan +2
To detect bias in face recognition networks, it can be useful to probe a network under test using samples in which only specific attributes vary in some controlled way. However, ca…
Modality Dropout for Improved Performance-driven Talking Faces
Ahmed Hussen Abdelaziz, Barry-John Theobald, Paul Dixon +3
We describe our novel deep learning approach for driving animated faces using both acoustic and visual information. In particular, speech-related facial movements are generated usi…
On the Role of Visual Cues in Audiovisual Speech Enhancement
Zakaria Aldeneh, Anushree Prasanna Kumar, Barry-John Theobald +4
We present an introspection of an audiovisual speech enhancement model. In particular, we focus on interpreting how a neural audiovisual speech enhancement model uses visual cues t…