15 citations · 36 across the 18 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…
Finding Experts in Transformer Models
Xavier Suau, Luca Zappella, Nicholas Apostoloff
In this work we study the presence of expert units in pre-trained Transformer Models (TM), and how they impact a model's performance. We define expert units to be neurons that are…