An FPGA Realization of a Deep Convolutional Neural Network Using a Threshold Neuron Pruning. - Tomoya Fujii; Simpei Sato; Hiroki Nakahara; Masato Motomura (ARC, 2017)

A fully connected layer elimination for a binarizec convolutional neural network on an FPGA. - Hiroki Nakahara; Tomoya Fujii; Shimpei Sato (FPL, 2017)

A demonstration of the GUINNESS: A GUI based neural NEtwork SyntheSizer for an FPGA. - Hiroyuki Nakahara; Haruyoshi Yonekawa; Tomoya Fujii; Masayuki Shimoda; Simpei Sato (FPL, 2017)

A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA. - Hiroki Nakahara; Haruyoshi Yonekawa; Tomoya Fujii; Shimpei Sato (FPGA, 2018)

An FPGA Realization of OpenPose Based on a Sparse Weight Convolutional Neural Network. - Akira Jinguji; Tomoya Fujii; Shimpei Sato; Hiroki Nakahara (FPT, 2018)

A Study on Joint Trajectory Planning of Multilegged Robot with Redundant Degrees of Freedom Legs using the Screw Theory. - Yoichi Shigematsu; Naoya Yoshinaga; Hitoshi Inabe; Ryoichiro Tamura; Tomoya Fujii; Souta Okada; Nobuto Hirakoso (MHS, 2018)

A Threshold Neuron Pruning for a Binarized Deep Neural Network on an FPGA. - Tomoya Fujii; Shimpei Sato; Hiroki Nakahara (IEICE Trans. Inf. Syst., 2018)

GUINNESS: A GUI Based Binarized Deep Neural Network Framework for Software Programmers. - Hiroki Nakahara; Haruyoshi Yonekawa; Tomoya Fujii; Masayuki Shimoda; Shimpei Sato (IEICE Trans. Inf. Syst., 2019)

Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (CoRR, 2022)

Performance Evaluation of Detection Model for Road Surface Damage using YOLO. - Tomoya Fujii; Rie Jinki; Yuukou Horita (GCCE, 2023)

Hummingbird-bat hybrid wing by 3-D printing. - Tomoya Fujii; Jinqiang Dang; Hiroto Tanaka (ICRA, 2023)

Non-readily identifiable data collaboration analysis for multiple datasets including personal information. - Akira Imakura; Tetsuya Sakurai; Yukihiko Okada; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (Inf. Fusion, 2023)

Practical Improvement and Performance Evaluation of Road Damage Detection Model using Machine Learning. - Tomoya Fujii; Rie Jinki; Yuukou Horita (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)