Associate Professor, School of Science and Technology,
Meiji University

SDGs theme

Research fields:
Image processing and recognition, and its system implementation

Research themes:
Object detection, object tracking, visual navigation, semantic segmentation and its application, depth estimation from monocular images, sports video analysis, compiler construction using machine learning

Main books and papers:
◆Ryusuke Miyamoto, Yuta Nakamura, Miho Adachi, Takeshi Nakajima, Hiroki Ishida, Kazuya Kojima, Risako Aoki, Takuro Oki, Shingo Kobayashi,“Vision-Based Road-Following Using Results of Semantic Segmentation for Autonomous Navigation,” Proc. IEEE International Conference on Consumer Electronics in Berlin, pp. 174-179, 2019
◆Takuro Oki, Shingo Kobayashi, Risako Aoki, Ryusuke Miyamoto, “CasNet: Cascaded Architecture for Visual Object Detection Working with Existing CNNs,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, pp. 1062-1067, 2019
◆Jaehoon Yu, Ryusuke Miyamoto, and Takao Onoye, “A Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector Machine,” IEEE Trans. on Image Processing, Vol. 22, No. 12, pp. 4752-4761, Dec. 2013