Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aouaidjia Kamel"'
Autor:
Aouaidjia Kamel, Sofiane Zeghoud, Saba Ghazanfar Ali, Xiaoyu Chi, Lijuan Mao, Jinman Kim, Ping Li, Bin Sheng, Egemen Ertugrul
Publikováno v:
The Visual Computer. 38:1345-1357
In this paper, we provide a new spatial data generalization method which we applied in hand gesture recognition tasks. Data gathering can be a tedious task when it comes to gesture recognition, especially dynamic gestures. Nowadays, the standard solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8ec68df65ef5bcfced63ba7f60ee00
https://doi.org/10.1007/s00371-021-02229-9
https://doi.org/10.1007/s00371-021-02229-9
Publikováno v:
IEEE Transactions on Multimedia. 23:1330-1342
In this paper, we present a method (Hybrid-Pose) to improve human pose estimation in images. We adopt Stacked Hourglass Networks to design two convolutional neural network models, RNet for pose refinement and CNet for pose correction. The CNet (Corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79919c8c0947a2c19028a501bae1a1d1
https://doi.org/10.1109/tmm.2020.2999181
https://doi.org/10.1109/tmm.2020.2999181
Autor:
Boukerch Issam, Aouaidjia Kamel
Publikováno v:
IGARSS
In machine learning, few shot learning techniques try to generate high prediction accuracy from few training examples. One of those techniques is data augmentation. In this paper, we propose a method for land cover image classification using a condit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed1fd20a8d945a7a3888c9924a6d13f
https://doi.org/10.1109/igarss47720.2021.9553374
https://doi.org/10.1109/igarss47720.2021.9553374
Publikováno v:
International Journal of Information Management. 45:328-336
Augmented reality is very useful in medical education because of the problem of having body organs in a regular classroom. In this paper, we propose to apply augmented reality to improve the way of teaching in medical schools and institutes. We propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c193f1d2c1bb1cdc4e7750a491becb9d
https://doi.org/10.1016/j.ijinfomgt.2018.03.004
https://doi.org/10.1016/j.ijinfomgt.2018.03.004
Akademický článek
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Publikováno v:
International Journal of Human–Computer Interaction. 35:427-439
In this article, we propose a Tai Chi training system based on pose estimation using Convolutional Neural Networks (CNNs) called iTai-Chi. Our system aims to overcome the disadvantages of insuffici...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194abd62f8f2a446b5fe0911628e347e
https://doi.org/10.1080/10447318.2018.1543081
https://doi.org/10.1080/10447318.2018.1543081
In this paper, we present a method (Action-Fusion) for human action recognition from depth maps and posture data using convolutional neural networks (CNNs). Two input descriptors are used for action representation. The first input is a depth motion i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105c7c6a1545fffeaf9ede1d1fe42f59
https://eprints.whiterose.ac.uk/151224/8/Revised20Paper.pdf
https://eprints.whiterose.ac.uk/151224/8/Revised20Paper.pdf
Autor:
Comerón, Adolfo, Kassianov, Evgueni I., Schäfer, Klaus, Picard, Richard H., Weber, Konradin, Singh, Upendra N., Aouaidjia, Kamel, Boukerch, Issam
Publikováno v:
Proceedings of SPIE; October 2020, Vol. 11531 Issue: 1 p115310E-115310E-8, 1037799p