4 citations · 6 across the 4 of their papers we have counts for
5 papers
Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Chirag Raman, Charlie Hewitt, Erroll Wood +1
Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks. A question arises: how…
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing
Daniel McDuff, Xin Liu, Javier Hernandez +2
Synthetic data is a powerful tool in training data hungry deep learning algorithms. However, to date, camera-based physiological sensing has not taken full advantage of these techn…
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt +5
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone. The community has long enjoyed the benefits of synthesizing train…
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Daniel McDuff, Javier Hernandez, Erroll Wood +2
Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring. However, machine vision approaches are often limited by the availabilit…
A high fidelity synthetic face framework for computer vision
Tadas Baltrusaitis, Erroll Wood, Virginia Estellers +6
Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition…