Digital holographic particle volume reconstruction using a deep neural network. - Tomoyoshi Shimobaba; Takayuki Takahashi; Yota Yamamoto; Yutaka Endo; Atsushi Shiraki; Takashi Nishitsuji; Naoto Hoshikawa; Takashi Kakue; Tomoyoshi Ito (CoRR, 2018)

Deep-learning-assisted Hologram Calculation via Low-Sampling Holograms. - Tomoyoshi Shimobaba; David Blinder; Peter Schelkens; Yota Yamamoto; Ikuo Hoshi; Takashi Kakue; Tomoyoshi Ito (IIAI-AAI, 2019)

Phase Type Special-Purpose Computer for Electroholography in Embedded Systems. - Yota Yamamoto; Nobuyuki Masuda; Hirotaka Nakayama; Tomoyoshi Shimobaba; Takashi Kakue; Tomoyoshi Ito (IIAI-AAI, 2019)

Data page classification in holographic memory using binary neural network. - Tomoyoshi Shimobaba; Yota Yamamoto; Ikuo Hoshi; Takashi Kakue; Tomoyoshi Ito (INDIN, 2020)

Interactive Indoor Localization Based on Image Retrieval and Question Response. - Xinyun Li; Ryosuke Furuta; Go Irie; Yota Yamamoto; Yukinobu Taniguchi (VISIGRAPP (4: VISAPP), 2023)

Pose-Invariant Learning for Efficient Person Identification from Hyperspectral Hand Images. - Keigo Kunikata; Amane Kashino; Yota Yamamoto; Yukinobu Taniguchi; Yoko Sogabe; Ayumi Matsumoto; Masaki Kitahara; Go Irie (ICIP, 2024)

Evaluating Homography Error for Accurate Multi-Camera Multi-Object Tracking of Dairy Cows. - Shunpei Aou; Yota Yamamoto; Kazuaki Nakamura; Yukinobu Taniguchi (VISIGRAPP (2): VISAPP, 2025)

Detection of Door-Closing Defects by Learning from Physics-Based Simulations. - Ryoga Takahashi; Yota Yamamoto; Ryosuke Furuta; Yukinobu Taniguchi (VISIGRAPP (2): VISAPP, 2025)

Entire-barn dairy cow tracking framework for multi-camera systems. - Yota Yamamoto; Kazuhiro Akizawa; Shunpei Aou; Yukinobu Taniguchi (Comput. Electron. Agric., 2025)

Traffic volume measurement using nonlinear count-lines. - Yuwa Iwao; Yota Yamamoto; Hideki Yaginuma; Yukinobu Taniguchi (Mach. Vis. Appl., 2025)