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20182023
most citedCNN-based Facial Affect Analysis on Mobile Devices

13 citations · 41 across the 8 of their papers we have counts for

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Showing cs.CVShow all

7 papers · 1 filter

cs.CV2023★ 4 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 10 cited

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…

cs.CV2022★ 2 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2020★ 4 cited

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…

cs.CV2018★ 6 cited

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…