13 citations · 41 across the 8 of their papers we have counts for
8 papers
Procedural Humans for Computer Vision
Charlie Hewitt, Tadas Baltrušaitis, Erroll Wood +3
Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction. Th…
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…
DigiFace-1M: 1 Million Digital Face Images for Face Recognition
Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis +5
State-of-the-art face recognition models show impressive accuracy, achieving over 99.8% on Labeled Faces in the Wild (LFW) dataset. Such models are trained on large-scale datasets…
3D face reconstruction with dense landmarks
Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt +11
Landmarks often play a key role in face analysis, but many aspects of identity or expression cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces mo…
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…
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…
Shape-only Features for Plant Leaf Identification
Charlie Hewitt, Marwa Mahmoud
This paper presents a novel feature set for shape-only leaf identification motivated by real-world, mobile deployment. The feature set includes basic shape features, as well as sig…
CNN-based Facial Affect Analysis on Mobile Devices
Charlie Hewitt, Hatice Gunes
This paper focuses on the design, deployment and evaluation of Convolutional Neural Network (CNN) architectures for facial affect analysis on mobile devices. Unlike traditional CNN…