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Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing

Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing

10 October 2021
Daniel J. McDuff
Xin Liu
Javier Hernández
Erroll Wood
T. Baltrušaitis
ArXivPDFHTML

Papers citing "Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing"

16 / 16 papers shown
Title
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Daniel J. McDuff
Javier Hernández
Erroll Wood
Xin Liu
T. Baltrušaitis
34
24
0
24 Oct 2020
A high fidelity synthetic face framework for computer vision
A high fidelity synthetic face framework for computer vision
T. Baltrušaitis
Erroll Wood
V. Estellers
Charlie Hewitt
Sebastian Dziadzio
Marek Kowalski
Matthew W. Johnson
T. Cashman
Jamie Shotton
CVBM
24
4
0
16 Jul 2020
Multi-Task Temporal Shift Attention Networks for On-Device Contactless
  Vitals Measurement
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu
Josh Fromm
Shwetak N. Patel
Daniel J. McDuff
46
262
0
06 Jun 2020
Analysis of CNN-based remote-PPG to understand limitations and
  sensitivities
Analysis of CNN-based remote-PPG to understand limitations and sensitivities
Qi Zhan
Wenjin Wang
G. Haan
28
71
0
07 Nov 2019
Characterizing Bias in Classifiers using Generative Models
Characterizing Bias in Classifiers using Generative Models
Daniel J. McDuff
Shuang Ma
Yale Song
Ashish Kapoor
47
47
0
30 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
502
10,466
0
12 Dec 2018
Identifying Bias in AI using Simulation
Identifying Bias in AI using Simulation
Daniel J. McDuff
R. Cheng
Ashish Kapoor
22
22
0
30 Sep 2018
DeepPhys: Video-Based Physiological Measurement Using Convolutional
  Attention Networks
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks
W. Chen
Daniel J. McDuff
3DH
HAI
43
470
0
21 May 2018
Empirically Analyzing the Effect of Dataset Biases on Deep Face
  Recognition Systems
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
Adam Kortylewski
Bernhard Egger
Andreas C. Schneider
Thomas Gerig
Andreas Morel-Forster
T. Vetter
CVBM
39
71
0
05 Dec 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
171
2,948
0
20 Mar 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
72
1,800
0
22 Dec 2016
UnrealCV: Connecting Computer Vision to Unreal Engine
UnrealCV: Connecting Computer Vision to Unreal Engine
Weichao Qiu
Alan Yuille
VGen
49
269
0
05 Sep 2016
Model-driven Simulations for Deep Convolutional Neural Networks
Model-driven Simulations for Deep Convolutional Neural Networks
V. S. Veeravasarapu
Constantin Rothkopf
Visvanathan Ramesh
VGen
11
18
0
31 May 2016
Model Validation for Vision Systems via Graphics Simulation
Model Validation for Vision Systems via Graphics Simulation
V. S. Veeravasarapu
R. Hota
Constantin Rothkopf
Visvanathan Ramesh
20
15
0
04 Dec 2015
Simulations for Validation of Vision Systems
Simulations for Validation of Vision Systems
V. S. Veeravasarapu
R. Hota
Constantin Rothkopf
Visvanathan Ramesh
24
22
0
03 Dec 2015
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa
Viorica Patraucean
Vijay Badrinarayanan
Simon Stent
R. Cipolla
3DPC
3DV
52
231
0
22 Nov 2015
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