Motohisa Fukuda

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 7

Top Topics

Top Venues

IEEE Trans. Inf. Theory

Publications

Motohisa Fukuda
Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI. CoRR (2023)
Motohisa Fukuda, Takashi Okuno, Shinya Yuki
Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images. Sensors 21 (21) (2021)
Yago Diez, Sarah Kentsch, Motohisa Fukuda, Maximo Larry Lopez Caceres, Koma Moritake, Mariano Cabezas
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review. Remote. Sens. 13 (14) (2021)
Motohisa Fukuda, Takashi Okuno, Shinya Yuki
Central object segmentation by deep learning for fruits and other roundish objects. CoRR (2020)
Motohisa Fukuda, Ion Nechita
On the Minimum Output Entropy of Random Orthogonal Quantum Channels. IEEE Trans. Inf. Theory 64 (2) (2018)
Motohisa Fukuda, Gilad Gour
Additive Bounds of Minimum Output Entropies for Unital Channels and an Exact Qubit Formula. IEEE Trans. Inf. Theory 63 (3) (2017)
Motohisa Fukuda, Ion Nechita, Michael M. Wolf
Quantum Channels With Polytopic Images and Image Additivity. IEEE Trans. Inf. Theory 61 (4) (2015)
Motohisa Fukuda
Simplification of Additivity Conjecture in Quantum Information Theory. Quantum Inf. Process. 6 (3) (2007)