Zobrazeno 1 - 10
of 45
pro vyhledávání: '"László A. Jeni"'
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract This work investigates the estimation biases of remote photoplethysmography (rPPG) methods for pulse rate measurement across diverse demographics. Advances in photoplethysmography (PPG) and rPPG methods have enabled the development of contac
Externí odkaz:
https://doaj.org/article/250d736043c9468b828363cca852ddc6
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit labels, and domain shift are three main obstacles in training models to detect facial actions and estimate their intensity. To address these problems,
Externí odkaz:
https://doaj.org/article/1d44084b668d4954a024b72135834186
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
The performance of automated facial expression coding is improving steadily. Advances in deep learning techniques have been key to this success. While the advantage of modern deep learning techniques is clear, the contribution of critical design choi
Externí odkaz:
https://doaj.org/article/a39b3234119d4381b1b9b0122e0069f6
Publikováno v:
Multimodal AI in Healthcare ISBN: 9783031147708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dc1b5fad8b07a016ce63877ac8ca7d8
https://doi.org/10.1007/978-3-031-14771-5_22
https://doi.org/10.1007/978-3-031-14771-5_22
Autor:
Ambareesh Revanur, László A. Jeni
Publikováno v:
2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3bc55aa63c6e2a7289aaf0f99ec4b59
https://doi.org/10.1109/aciiw57231.2022.10086024
https://doi.org/10.1109/aciiw57231.2022.10086024
Publikováno v:
IEEE Trans Biom Behav Identity Sci
Facial action unit (AU) detectors have performed well when trained and tested within the same domain. How well do AU detectors transfer to domains in which they have not been trained? We review literature on cross-domain transfer and conduct experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abeaa647063c89cb49033665f0d3e3e3
https://doi.org/10.1109/tbiom.2020.2977225
https://doi.org/10.1109/tbiom.2020.2977225
Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the microvascula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9488e49d4d5179be87cf0bd90acd9cc
http://arxiv.org/abs/2109.10471
http://arxiv.org/abs/2109.10471
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
NPJ Digital Medicine
NPJ Digital Medicine
This work investigates the estimation biases of remote photoplethysmography (rPPG) methods for pulse rate measurement across diverse demographics. Advances in photoplethysmography (PPG) and rPPG methods have enabled the development of contact and non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2579ccad6fa2befae330014f0acfb3ce
https://doi.org/10.1038/s41746-021-00462-z
https://doi.org/10.1038/s41746-021-00462-z
Autor:
Yaohan, Ding, Itir Onal, Ertugrul, Ali, Darzi, Nicole, Provenza, László A, Jeni, David, Borton, Wayne, Goodman, Jeffrey, Cohn
Publikováno v:
Companion Publ 2020 Int Conf Multimodal Interact
Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for severe, treatment-refractory obsessive-compulsive disorder (OCD). Optimal parameter settings are signaled by a mirth response of intense positive affec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0a6c079c40f3f173293f7888cf2d912d
https://pubmed.ncbi.nlm.nih.gov/33937916
https://pubmed.ncbi.nlm.nih.gov/33937916
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
3D human pose and shape estimation from monocular images has been an active research area in computer vision. Existing deep learning methods for this task rely on high-resolution input, which however, is not always available in many scenarios such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69e05fc74ac34cb0c0f46ea6ffd3d1e3