no code implementations • 12 Nov 2023 • Bjoern Braun, Daniel McDuff, Tadas Baltrusaitis, Christian Holz
We obtain median correlations of 0. 57 to 0. 63 between our inferred signals and the ground truth EDA using only videos of the participants' palms or foreheads or PPG signals from the foreheads or fingers.
no code implementations • CVPR 2023 • Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.
no code implementations • 20 Oct 2022 • Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson
To overcome this, we propose a novel landmark detector trained on synthetic data to estimate camera poses from 360 degree mobile phone videos of a human head for use in a multi-stage optimization process which creates a photo-realistic avatar.
no code implementations • 5 Oct 2022 • Chirag Raman, Charlie Hewitt, Erroll Wood, Tadas Baltrusaitis
Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks.
1 code implementation • 5 Oct 2022 • Gwangbin Bae, Martin de La Gorce, Tadas Baltrusaitis, Charlie Hewitt, Dong Chen, Julien Valentin, Roberto Cipolla, Jingjing Shen
Such models are trained on large-scale datasets that contain millions of real human face images collected from the internet.
Ranked #2 on Synthetic Face Recognition on CPLFW (Accuracy metric)
2 code implementations • 8 Jun 2022 • Daniel McDuff, Miah Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis
The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e. g., cardiac and pulmonary) vital signs is very attractive.
no code implementations • 6 Apr 2022 • Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan Garbin, Chirag Raman, Jamie Shotton, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin
By fitting a morphable model to these dense landmarks, we achieve state-of-the-art results for monocular 3D face reconstruction in the wild.
Ranked #1 on 3D Face Reconstruction on Florence (RMSE Indoor metric)
no code implementations • 10 Oct 2021 • Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood, Tadas Baltrusaitis
We present systematic experiments showing how physiologically-grounded synthetic data can be used in training camera-based multi-parameter cardiopulmonary sensing.
no code implementations • 24 Oct 2020 • Daniel McDuff, Javier Hernandez, Erroll Wood, Xin Liu, Tadas Baltrusaitis
Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring.
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.
no code implementations • 1 Aug 2017 • Behnaz Nojavanasghari, Charles. E. Hughes, Tadas Baltrusaitis, Louis-Philippe Morency
We then propose a model for facial occlusion type recognition to differentiate between hand over face occlusions and other types of occlusions such as scarves, hair, glasses and objects.
no code implementations • 27 Apr 2017 • Erroll Wood, Tadas Baltrusaitis, Louis-Philippe Morency, Peter Robinson, Andreas Bulling
We present GazeDirector, a new approach for eye gaze redirection that uses model-fitting.
no code implementations • ICCV 2015 • Erroll Wood, Tadas Baltrusaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, Andreas Bulling
Images of the eye are key in several computer vision problems, such as shape registration and gaze estimation.