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Michitaka Yoshida
Michitaka Yoshida
Shizuoka University
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Joint optimization for compressive video sensing and reconstruction under hardware constraints
M Yoshida, A Torii, M Okutomi, K Endo, Y Sugiyama, R Taniguchi, ...
Proceedings of the European Conference on Computer Vision (ECCV), 634-649, 2018
362018
Action recognition from a single coded image
T Okawara, M Yoshida, H Nagahara, Y Yagi
2020 IEEE International Conference on Computational Photography (ICCP), 1-11, 2020
182020
High-speed imaging using CMOS image sensor with quasi pixel-wise exposure
M Yoshida, T Sonoda, H Nagahara, K Endo, Y Sugiyama, R Taniguchi
IEEE Transactions on Computational Imaging 6, 463-476, 2019
152019
Acquiring a dynamic light field through a single-shot coded image
R Mizuno, K Takahashi, M Yoshida, C Tsutake, T Fujii, H Nagahara
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡­, 2022
72022
Action recognition from a single coded image
S Kumawat, T Okawara, M Yoshida, H Nagahara, Y Yagi
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4109-4121, 2022
52022
Deep Sensing for Compressive Video Acquisition
M Yoshida, A Torii, M Okutomi, R Taniguchi, H Nagahara, Y Yagi
Sensors 23 (17), 7535, 2023
12023
Deep Learning ¤Ë¤è¤ë圧縮¥Ó¥Ç¥ª¥»¥ó¥·¥ó¥°¤ÎÔÙ構³É
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Ñо¿報¸æ¥³¥ó¥Ô¥åþí¥¿¥Ó¥¸¥ç¥ó¤È¥¤¥áþí¥¸¥á¥Ç¥£¥¢ (CVIM) 2017 (19), 1-8, 2017
12017
Compressive Acquisition of Light Field Video Using Aperture-Exposure-Coded Camera
R Mizuno, K Takahashi, M Yoshida, C Tsutake, T Fujii, H Nagahara
ITE Transactions on Media Technology and Applications 12 (1), 22-35, 2024
2024
Pseudo-dToF using deep learning with time-compressive computational CMOS image sensor
M Yoshida, PN Anh, LD Xing, K Yasutomi, S Kawahito, K Kagawa, ...
ITE Technical Report; ITE Tech. Rep. 47 (27), 9-12, 2023
2023
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Ñо¿報¸æ¥³¥ó¥Ô¥åþí¥¿¥Ó¥¸¥ç¥ó¤È¥¤¥áþí¥¸¥á¥Ç¥£¥¢ (CVIM) 2020 (31), 1-8, 2020
2020
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2019
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電×ÓÇé報ͨÐÅѧ»á¼¼術Ñо¿報¸æ= IEICE technical report: ÐÅѧ¼¼報 118 (405), 17-23, 2019
2019
Joint optimization for compressive video sensing and reconstruction under hardware constraints (Çé報¥»¥ó¥·¥ó¥°)
M Yoshida, A Torii, M Okutomi, K Endo, Y Sugiyama, RI Taniguchi, ...
Ó³ÏñÇé報¥á¥Ç¥£¥¢Ñ§»á¼¼術報¸æ= ITE technical report 42 (40), 1-2, 2018
2018
Deep Learning ¤Ë¤è¤ë圧縮¥Ó¥Ç¥ª¥»¥ó¥·¥ó¥°¤ÎÔÙ構³É (¥Ñ¥¿þí¥ó認識¡¤¥á¥Ç¥£¥¢Àí½â)
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電×ÓÇé報ͨÐÅѧ»á¼¼術Ñо¿報¸æ= IEICE technical report: ÐÅѧ¼¼報 117 (210 ¡­, 2017
2017
Deep Learning ¤Ë¤è¤ë圧縮¥Ó¥Ç¥ª¥»¥ó¥·¥ó¥°¤ÎÔÙ構³É (Çé報論µÄѧ習Àí論¤È機еѧ習)
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電×ÓÇé報ͨÐÅѧ»á¼¼術Ñо¿報¸æ= IEICE technical report: ÐÅѧ¼¼報 117 (210 ¡­, 2017
2017
Evaluation of methods of taking aged patients' body temperature: comparison between the determination at the arm pit and at the abdomen (inside the diaper)
M Yoshida, H Aihara, T Yano, S Kawahito, F Morimoto
Kangogaku zasshi 53 (4), 369-372, 1989
1989
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