Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Valentin Vielzeuf"'
Autor:
Denys, Fontaine, Valentin, Vielzeuf, Philippe, Genestier, Pascal, Limeux, Serena, Santucci-Sivilotto, Emmanuel, Mory, Nelly, Darmon, Michel, Lanteri-Minet, May, Mokhtar, Melanie, Laine, Damien, Vistoli
Publikováno v:
European journal of pain (London, England)REFERENCES. 26(6)
Pain intensity evaluation by self-report is difficult and biased in non-communicating people, which may contribute to inappropriate pain management. The use of artificial intelligence (AI) to evaluate pain intensity based on automated facial expressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::38c15a726282239f5f6c085349af595a
https://pubmed.ncbi.nlm.nih.gov/35352426
https://pubmed.ncbi.nlm.nih.gov/35352426
Publikováno v:
IEEE Sensors Letters. 3:1-4
In the context of deep learning, this article presents an original deep network, namely CentralNet, for the fusion of information coming from different sensors. This approach is designed to efficiently and automatically balance the tradeoff between e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bf8c2063719f23244d5d4eef7d5c9b
https://doi.org/10.1109/lsens.2018.2878908
https://doi.org/10.1109/lsens.2018.2878908
Publikováno v:
CVPR
CVPR 2019
CVPR 2019, Jun 2019, Long Beach, United States
CVPR 2019
CVPR 2019, Jun 2019, Long Beach, United States
We tackle the problem of finding good architectures for multimodal classification problems. We propose a novel and generic search space that spans a large number of possible fusion architectures. In order to find an optimal architecture for a given d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c807147acda165f9b075c6384401ee6
https://doi.org/10.1109/cvpr.2019.00713
https://doi.org/10.1109/cvpr.2019.00713
Publikováno v:
The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)
The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), May 2019, Lille, France
FG
HAL
The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), May 2019, Lille, France
FG
HAL
International audience; This paper presents a novel approach for changing facial expressions in images. Its strength lies in its ability to map face images into a vector space in which users can easily control and generate novel facial expressions ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33db5e81aa93f5f86a448f12e3ee8ad8
https://hal.archives-ouvertes.fr/hal-02051792/file/fg19-many-variations-of-emotions.pdf
https://hal.archives-ouvertes.fr/hal-02051792/file/fg19-many-variations-of-emotions.pdf
Publikováno v:
ACM-ICMI 2017
ACM-ICMI 2017, Nov 2017, Glasgow, United Kingdom
ICMI
ACM-ICMI 2017, Nov 2017, Glasgow, United Kingdom
ICMI
International audience; This paper addresses the question of emotion classification. The task consists in predicting emotion labels (taken among a set of possible labels) best describing the emotions contained in short video clips. Building on a stan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318bae314933668e728966e127ac80da
http://arxiv.org/abs/1709.07200
http://arxiv.org/abs/1709.07200
Publikováno v:
HAL
European Conference on Computer Vision Workshops: Multimodal Learning and Applications
European Conference on Computer Vision Workshops: Multimodal Learning and Applications, Sep 2018, Munich, Germany
Lecture Notes in Computer Science ISBN: 9783030110239
ECCV Workshops (6)
European Conference on Computer Vision Workshops: Multimodal Learning and Applications
European Conference on Computer Vision Workshops: Multimodal Learning and Applications, Sep 2018, Munich, Germany
Lecture Notes in Computer Science ISBN: 9783030110239
ECCV Workshops (6)
International audience; This paper proposes a novel multimodal fusion approach, aiming to produce best possible decisions by integrating information coming from multiple media. While most of the past multimodal approaches either work by projecting th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54d2f3b4037a19cd3bd8853d8ec0b96a
https://hal.archives-ouvertes.fr/hal-01858560
https://hal.archives-ouvertes.fr/hal-01858560
Publikováno v:
HAL
Image Analysis for Human Facial and Activity Recognition (BMVC Workshop)
Image Analysis for Human Facial and Activity Recognition (BMVC Workshop), Dr. Zhaojie Ju, Sep 2018, Newcastle, United Kingdom
Image Analysis for Human Facial and Activity Recognition (BMVC Workshop)
Image Analysis for Human Facial and Activity Recognition (BMVC Workshop), Dr. Zhaojie Ju, Sep 2018, Newcastle, United Kingdom
International audience; Numerous models describing the human emotional states have been built by the psychology community. Alongside, Deep Neural Networks (DNN) are reaching excellent performances and are becoming interesting features extraction tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::773ea23fe32198bf991276b7916d82ee
https://hal.archives-ouvertes.fr/hal-01849908
https://hal.archives-ouvertes.fr/hal-01849908
Publikováno v:
HAL
ICMI (EmotiW) 2018
ICMI (EmotiW) 2018, Oct 2018, Boulder, Colorado, United States
ICMI
ICMI (EmotiW) 2018
ICMI (EmotiW) 2018, Oct 2018, Boulder, Colorado, United States
ICMI
International audience; This paper presents a light-weight and accurate deep neural model for audiovisual emotion recognition. To design this model, the authors followed a philosophy of simplicity, drastically limiting the number of parameters to lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36676c415ef909c6c20cf458a563263d
https://hal.archives-ouvertes.fr/hal-01854019
https://hal.archives-ouvertes.fr/hal-01854019
Publikováno v:
HAL
IEEE Sensors Letters
IEEE Sensors Letters, IEEE, 2018, 3 (1)
IEEE Sensors Letters
IEEE Sensors Letters, IEEE, 2018, 3 (1)
In the context of deep learning, this article presents an original deep network, namely CentralNet, for the fusion of information coming from different sensors. This approach is designed to efficiently and automatically balance the trade-off between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bf2cce3c61b990fc88bc10045ddd1b4
https://hal.archives-ouvertes.fr/hal-01910858
https://hal.archives-ouvertes.fr/hal-01910858