Biography

I am Shumpei Takezaki (竹崎 隼平 in Japanse), a Ph.D student at Kyushu University, Fukuoka, JAPAN, under the supervision of Prof. Seiichi Uhicda.

Before starting my Ph.D, I received my undergraduate degree in ECE from the Kagoshima Technical College, Kagoshima, JAPAN.

My research is on generative modeling. I am particularly interested in the applications of generative modeling for medical imaging.

News

• 2026-06 [Reward]: Bridging the Density Gap: Diffusion Model for Stepwise Generation of Dense Cell Images from Sparse Data got ISBI 2026 Best Paper Award-Runner UP (Top 3 papers selected for publication).

• 2026-04 [Paper Acceptance]: Cell Instance Segmentation via Multi-Task Image-to-Image Schrödinger Bridge got accepted to IJCNN 2026.

• 2026-04 [Paper Acceptance]: SCoRe: Clean Image Generation from Diffusion Models Trained on Noisy Images got accepted to IJCNN 2026.

Publications

For a more comprehensive list of publications, please see Publications or visit Google Scholar page.

Contact

• Address: Human Interface Laboratory, Department of Advanced Information Technology, Kyushu University. 744, Motooka, Nishi-ku, Fukuoka-shi, 819-0395 JAPAN
• TEL: +81-92-802-3574
• E-mail: shumpei.takezaki[at]human.ait.kyushu-u.ac.jp