Profile

Biography

Yuma Kinoshita received his B.Eng., M.Eng., and the Ph.D. degrees from Tokyo Metropolitan University, Japan, in 2016, 2018, and 2020 respectively. In April 2020, he started to work with Tokyo Metropolitan University, as a project assistant professor. He moved to Tokai University, Japan, as an associate professor/lecturer in April 2022. He became a project associate professor at Tokyo Metropolitan University in April 2023. His research interests are in the area of signal processing, image processing, and machine learning. He is a Member of IEEE, APSIPA, IEICE, and ASJ. He received the IEEE ISPACS Best Paper Award, in 2016, the IEEE Signal Processing Society Japan Student Conference Paper Award, in 2018, the IEEE Signal Processing Society Tokyo Joint Chapter Student Award, in 2018, the IEEE GCCE Excellent Paper Award (Gold Prize), in 2019, the IWAIT Best Paper Award, in 2020, and the APSIPA ASC 2021 Best Paper Award. He was a Registration Chair of DCASE2020 Workshop.

Educational background

Mar. 2020 | Ph.D. from Department of Computer Science, Graduate School of System Design, Tokyo Metropolitan University, Japan

Mar. 2018 | M.E from Department of Information and Communication Systems, Graduate School of System Design, Tokyo Metropolitan University, Japan

Mar. 2016 | B.E from Department of Information and Communication Systems, Graduate School of System Design, Tokyo Metropolitan University, Japan

Career

Apr. 2023 -- | Project Associate Professor at Department of Computer Science, Tokyo Metropolitan University

Apr. 2023 -- | Adjunct Instructor at Electrical and Electronics Engineering Program, Tokyo Metropolitan College of Industrial Technology

Apr. 2022 -- | Associate professor/Lecturer at Department of Human and Information Science, Tokai University

Apr. 2020 -- Mar. 2023 | Project Assistant Professor at Department of System Design, Tokyo Metropolitan University

Awards

Yuma Kinoshita and Nobutaka Ono, "Analysis on Roles of DNNs in End-to-End Acoustic Scene Analysis Framework with Distributed Sound-to-Light Conversion Devices," APSIPA Annual Summit and Conference, pp. 1167–1172, Tokyo, Japan, Dec. 2021.
Yuma Kinoshita and Hitoshi Kiya, “Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion,” IEEE Trans. Image Processing, vol.28, no.8, pp.4101-4116,  2019.
木下 裕磨, 貴家 仁志, "CIELAB色空間に基づく色相補正法," 電子情報通信学会信号処理研究会, vol.118, no.496, (no.SIP2018-105), pp.1–6.
Ayana Kawamura, Yuma Kinoshita, and Hitoshi Kiya, “Privacy-Preserving Machine Learning Using EtC Images,” in Proc. International Workshop on Advanced Image Technology, 2020.
Warit Sirichotedumrong, Yuma Kinoshita, and Hitoshi Kiya, “On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks,” in Proc. IEEE Global Conference on Consumer Electronics, 2019, pp. 123-125.
Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, "Fast Inverse Tone Mapping with Reinhard's Global Operator," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, pp. 1972-1976.
木下 裕磨, 塩田 さやか, 貴家 仁志, "自動露出補正に基づく多重露出画像合成法," 電子情報通信学会信号処理研究会, 2018, vol. 117, no. 516, pp. 191-196.
Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya, “An Inverse Tone Mapping Operator Based on Reinhard’s Global Operator,” in Proc. IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 2016, pp. 106-111. 

Grants

Academic Activities