Výsledky vyhledávání - "Shoichi Masui"

Akademický článek

A unified multi-view multi-person tracking framework

Autor: Fan Yang, Shigeyuki Odashima, Sosuke Yamao, Hiroaki Fujimoto, Shoichi Masui, Shan Jiang

Publikováno v: Computational Visual Media, Vol 10, Iss 1, Pp 137-160 (2023)

Abstract Despite significant developments in 3D multi-view multi-person (3D MM) tracking, current frameworks separately target footprint tracking, or pose tracking. Frameworks designed for the former cannot be used for the latter, because they direct

Externí odkaz: https://doaj.org/article/72ef66a837574b56b534bc3228dc1c23

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Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space

Autor: Fan Yang, Shigeyuki Odashima, Shoichi Masui, Shan Jiang

We propose a Cascaded Buffered IoU (C-BIoU) tracker to track multiple objects that have irregular motions and indistinguishable appearances. When appearance features are unreliable and geometric features are confused by irregular motions, applying co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1221b2aba52b875727365a4d9e88f0ab
http://arxiv.org/abs/2211.14317

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SoccerNet 2022 Challenges Results

Autor: Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li

Publikováno v: Giancola, S, Cioppa, A, Deliège, A, Magera, F, Somers, V, Kang, L, Zhou, X, Barnich, O, De Vleeschouwer, C, Alahi, A, Ghanem, B, Van Droogenbroeck, M, Darwish, A, Maglo, A, Clapés, A, Luyts, A, Boiarov, A, Xarles, A, Orcesi, A, Shah, A, Fan, B, Comandur, B, Chen, C, Zhang, C, Zhao, C, Lin, C, Chan, C Y, Hui, C C, Li, D, Yang, F, Liang, F, Da, F, Yan, F, Yu, F, Wang, G, Chan, H A, Zhu, H, Kan, H, Chu, J, Hu, J, Gu, J, Chen, J, Soares, J V B, Theiner, J, De Corte, J, Brito, J H, Zhang, J, Li, J, Liang, J, Shen, L, Ma, L, Chen, L, Santos Marques, M, Azatov, M, Kasatkin, N, Wang, N, Jia, Q, Pham, Q C, Ewerth, R, Song, R, Li, R, Gade, R, Debien, R, Zhang, R, Lee, S, Escalera, S, Jiang, S, Odashima, S, Chen, S, Masui, S, Ding, S, Chan, S W, Chen, S, El-Shabrawy, T, He, T, Moeslund, T B, Siu, W C, Zhang, W, Li, W, Wang, X, Tan, X, Li, X, Wei, X, Ye, X, Liu, X, Wang, X, Guo, Y, Zhao, Y, Yu, Y, Li, Y, He, Y, Zhong, Y, Guo, Z & Li, Z 2022, SoccerNet 2022 Challenges Results . in MMSports 2022-Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports . Association for Computing Machinery, MMSports 2022-Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, pp. 75-86, 5th ACM International Workshop on Multimedia Content Analysis in Sports, MMSports 2022, co-located with ACM Multimedia 2022, Lisboa, Portugal, 14/10/2022 . https://doi.org/10.1145/3552437.3558545

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b067ecc3278486c726e69ce403ea61

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19.2 cm3flexible fetal heart rate sensor for improved quality of pregnancy life

Autor: Hiroyuki Sato, Yoshinori Yaginuma, Shoichi Masui, Hiroyuki Nakamoto, Kazuhiro Yoshimura, Yoshihiro Nakata, Daijiro Ishibashi

Publikováno v: BioCAS

Daily and on-demand monitoring of fetal heart rate (FHR) at home can improve quality of pregnancy life (QoPL), which is sometimes degraded by anxiety about the health conditions of fetus and mother since mothers cannot frequently visit a hospital in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42dbd03119be309f7425082a060ae510
https://doi.org/10.1109/biocas.2016.7833751

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Fractional-N PLL synthesizer with 15µsec start-up time by on-chip nonvolatile memory

Autor: Shoichi Masui, Jun Gyu Lee

Publikováno v: IEICE Electronics Express. 9:263-269

We propose a fractional-N PLL synthesizer with 15µsec start-up time featuring an open-loop VCO capacitor coarse setting and subsequent VCO control voltage setting technique with a nonvolatile memory, which can eliminate the frequency detection and V

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe4514f78cd079ce54d5f3173f2c991e
https://doi.org/10.1587/elex.9.263

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A 32-bit 16-program-cycle nonvolatile memory for analog circuit calibration in a standard 0.18µm CMOS

Autor: Jun Gyu Lee, Shoichi Masui

Publikováno v: IEICE Electronics Express. 9:477-483

We propose a 32-bit 16-program-cycle nonvolatile memory fabricated in a standard 0.18µm CMOS technology based on a channel hot-electron trapping at the transistor gate sidewall. Its target application is calibration of RF/analog circuits for multiba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e1195c6ac39884f1229d350348a46ca
https://doi.org/10.1587/elex.9.477

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