Search Results for author: Virginia Estellers

Found 4 papers, 2 papers with code

A high fidelity synthetic face framework for computer vision

no code implementations16 Jul 2020 Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton

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 among others.

Face Model Face Recognition +1

CONFIG: Controllable Neural Face Image Generation

1 code implementation ECCV 2020 Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton

Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind.

Face Model Image Generation +1

Contrastive Learning for Lifted Networks

no code implementations7 May 2019 Christopher Zach, Virginia Estellers

In this work we address supervised learning of neural networks via lifted network formulations.

Contrastive Learning

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