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of 9
pro vyhledávání: '"Mahpod, Shahar"'
We introduce a novel approach for gait transfer from unconstrained videos in-the-wild. In contrast to motion transfer, the objective here is not to imitate the source's motions by the target, but rather to replace the walking source with the target,
Externí odkaz:
http://arxiv.org/abs/2206.15248
Autor:
Mahpod, Shahar, Keller, Yosi
In this work we propose an OCR scheme for manuscripts printed in Rashi font that is an ancient Hebrew font and corresponding dialect used in religious Jewish literature, for more than 600 years. The proposed scheme utilizes a convolution neural netwo
Externí odkaz:
http://arxiv.org/abs/1811.01290
The accurate localization of facial landmarks is at the core of face analysis tasks, such as face recognition and facial expression analysis, to name a few. In this work, we propose a novel localization approach based on a deep learning architecture
Externí odkaz:
http://arxiv.org/abs/1805.01760
Publikováno v:
In Computer Vision and Image Understanding April 2021 205
Autor:
Mahpod, Shahar, Keller, Yosi
Publikováno v:
In Computer Vision and Image Understanding February 2018 167:28-36
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
We introduce a novel approach for gait transfer from unconstrained videos in-the-wild. In contrast to motion transfer, the objective here is not to imitate the source's motions by the target, but rather to replace the walking source with the target,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1628c9578e1acd5c0ab75f9c00b5efa1
https://doi.org/10.1109/wacv56688.2023.00045
https://doi.org/10.1109/wacv56688.2023.00045
Autor:
Lu, Jiwen, Hu, Junlin, Liong, Venice Erin, Zhou, Xiuzhuang, Bottino, Andrea, Islam, Ihtesham Ul, Vieira, Tiago Figueiredo, Qin, Xiaoqian, Tan, Xiaoyang, Chen, Songcan, Mahpod, Shahar, Keller, Yosi, Zheng, Lilei, Idrissi, Khalid, Garcia, Christophe, Duffner, Stefan, Baskurt, Atilla, Castrillon-Santana, Modesto, Lorenzo-Navarro, Javier
Publikováno v:
2015 11th IEEE International Conference & Workshops on Automatic Face & Gesture Recognition (FG); 2015, p1-7, 7p
Autor:
Mahpod, Shahar, Yitzhaky, Yitzhak
Publikováno v:
Proceedings of SPIE; Nov2009, Issue 1, p744409-744409-9, 9p
The accurate localization of facial landmarks is at the core of several face analysis tasks, such as face recognition and facial expression analysis, to name a few. In this work, we propose a novel localization approach based on a deep learning archi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c603b492fffd96ce88f5a347d8f2104e
https://hdl.handle.net/11590/378984
https://hdl.handle.net/11590/378984