1 code implementation • 27 Dec 2023 • Sebastian Dziadzio, Çağatay Yıldız, Gido M. van de Ven, Tomasz Trzciński, Tinne Tuytelaars, Matthias Bethge
In a simple setting with direct supervision on the generative factors, we show how learning class-agnostic transformations offers a way to circumvent catastrophic forgetting and improve classification accuracy over time.
1 code implementation • 10 Nov 2023 • Winfried Ripken, Lisa Coiffard, Felix Pieper, Sebastian Dziadzio
Time-independent Partial Differential Equations (PDEs) on large meshes pose significant challenges for data-driven neural PDE solvers.
1 code implementation • ICCV 2021 • Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas J. Cashman, Jamie Shotton
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
Ranked #2 on Face Parsing on Helen (using extra training data)
no code implementations • ICCV 2021 • Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Thomas J. Cashman, Jamie Shotton
The increased availability and maturity of head-mounted and wearable devices opens up opportunities for remote communication and collaboration.
no code implementations • 16 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.