KENJIRO SUGIMOTO, Ph.D.
Position

Assistant Professor

Affiliation

Waseda University, Japan

Address

2-7 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, 808-0135 JAPANE-mailksugimoto@aoni.waseda.jp

Websitehttp://wosugi.sakura.ne.jp/

Education
2009–2015

Ph.D. of Engineering,
Waseda University, Graduate School of Information, Production and Systems, Japan.

2007–2009

Master of Engineering,
Waseda University, Graduate School of Information, Production and Systems, Japan.

2005–2007

Bachelor of Engineering (with honors),
Kurume National College of Technology, Advanced Engineering School, Japan.

CareerApr. 2018– Current

Assistant Professor with Waseda University, Japan.
I started to run courses related to machine learning: linear algebra, convex analysis, probability
and statistics, programming basics, and technical presentation. These courses are lectured in
English mainly for international students.

Apr. 2017– Mar. 2018

Junior Researcher with Waseda University, Japan.
In addition to the research topics shown below, I committed to researching and developing
medicine package recognition systems with Cube Imaging Inc, a start-up company forhelping pharmacists to prevent dispensing error using imaging technology.

Oct. 2015– Mar. 2017

Research Associate with Waseda University, Japan.
I concentrated on accelerating modern image filtering algorithms for real-time computer
vision applications from both viewpoints of theory and practice.

Aug. 2015– Sep. 2015

Visiting Research Scientist with Durham University, UK.
Adjunct Researcher with Waseda University, Japan.
This research theme was to design efficient real-time stereo vision algorithms using image
filtering techniques.

Oct. 2014– Jul. 2015

Research Associate with Waseda University, Japan.
This research theme was a stereo vision task for autonomous vehicles with multiple cameras for intelligent transportation system.

Apr. 2010– Mar. 2012

Research Fellow of Japan Society for the Promotion of Science, Japan.
This research theme was faster image retrieval based on color information, which wasapplied to medicine package recognition system for preventing from dispensing error.

ResearchMy research interests lie on image processing and pattern recognition. Particularly, I am currently concentrating on pursuing more generalized but still practical algorithms of image filtering from a theoretical
viewpoint. Image filtering still plays a fundamental role in many modern image processing applications, e.g.,
convolution operations in deep learning and denoising tools in vision applications.
Sharing research outcome with society is a major research motto of mine. I have developed medicine package
checking systems based on image pattern recognition for supporting prescription process by collaborating with several companies. In recent years, the systems have been widely introduced into many pharmacies/drugstores in Japan, assisting pharmacists in their daily work for safe prescription process.
1Selected Publications
Journal papers/letters (all refereed)• Christina Karam, Kenjiro Sugimoto, and Keigo Hirakawa: "Fast convolutional distance transform",
IEEE Signal Processing Letters, vol. 26, no. 6, pp. 853–857, (June 2019).
• Kenjiro Sugimoto, and Sei-ichiro Kamata: "Compressive bilateral filtering", IEEE Transactions on Image
Processing, vol. 24, no. 11, pp. 3357–3369, (November 2015).
• Kenjiro Sugimoto, and Sei-ichiro Kamata: "Efficient constant-time Gaussian filtering with sliding
DCT/DST-5 and dual-domain error minimization", ITE Transactions on Media Technology and Applications, vol. 3, no. 1, pp. 12–21, (January 2015).
• Kenjiro Sugimoto, Koji Inoue, Yoshimitsu Kuroki, and Sei-ichiro Kamata: "A linear manifold color
descriptor for medicine package recognition", IEICE Transaction on Information and Systems. vol. E95–D,
no. 5, pp. 1264-1271, (May 2012).
• Kenjiro Sugimoto, Yoshimitsu Kuroki, and Sei-ichiro Kamata: "Lossless image compression based on
predictor selection using local characteristics"(in Japanese), IEICE Transaction on Information and Systems,
vol. J92–D, no. 10, pp. 1698–1701 (October 2009).

International conference papers (all refereed)• Tomohiro Sasaki, Norishige Fukushima, Yoshihi Maeda, Kenjiro Sugimoto, and Sei-ichiro Kamata:"Constant-time Gaussian filtering for acceleration of structure similarity", Proceedings of International
Conference on Image Processing and Robotics 2020 (ICIPRoB), (March 2020) // Best Paper Award• Kenjiro Sugimoto, Norishige Fukushima, and Sei-ichiro Kamata: "200 FPS constant-time bilateral filter
using SVD and tiling strategy", Proceedings of IEEE International Conference on Image Processing (ICIP),
pp. 190-194, (September 2019). // Top 10% Papers: 4.55%• Kenjiro Sugimoto, Seisuke Kyochi and Sei-ichiro Kamata: "Universal approach for DCT-based constanttime Gaussian filter with moment preservation", Proceedings of IEEE International Conference onAcoustics, Speech and Signal Processing (ICASSP), pp. 1498-1502, (Apr. 2018).
• Kenjiro Sugimoto, Toby P. Breckon, and Sei-ichiro Kamata: "Constant-time bilateral filter using spectral
decomposition ", Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 3319-3323,(September 2016).
• Ryo Okutani, Kenjiro Sugimoto, and Sei-ichiro Kamata: "Efficient keypoint detection and description
using via polynomial regression of scale space", Proceedings of IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP), pp. 1357–1361, (March 2016).
• Kenjiro Sugimoto, and Sei-ichiro Kamata: "Fast Gaussian filter with second-order shift property ofDCT-V ", Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 514–518, (September2013). // Top 10% Paper Recognition: 4.5%
• Kenjiro Sugimoto, and Sei-ichiro Kamata: "Fast image filtering by DCT-based kernel decompositionand sequential sum update ", Proceedings of IEEE International Conference on Image Processing (ICIP),
pp. 125–128, (September 2012). // IEEE Fukuoka Section - Excellent Student Award 2012
• Kenjiro Sugimoto, and Sei-ichiro Kamata: "Color distribution matching using a weighted subspace descriptor ", Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 1733–1736, (September 2011).
• Kenjiro Sugimoto, and Sei-ichiro Kamata: "Fast color matching using weighted subspace on medicine
package recognition ", Proceedings of IAPR Machine Vision Applications (MVA), pp. 287–290, (June 2011).

2

Activity reports• Kenjiro Sugimoto, and Akinari Tsugo: “A report of Visual Information Processing Camp 2008” (inJapanese), Journal of IIEEJ, vol. 38, no. 2, pp. 205–211 (March 2009).

Technical Skills
Languages

Japanese (Native), English (Business-level), Chinese (Beginner-level)

Programming C/C++, C#, Java, Python, MATLAB, OpenCV, HTML, JavaScript.
I participated in ACM/ICPC, the most famous programming contest in the world, advancing to Asia regional rounds by passing Japan domestic rounds in 2005 and 2006.

References
Supervisor

Prof. Sei-ichiro Kamata

Affiliation

Waseda University, Japan

E-mailkam@waseda.jp
Curriculum Vitae generated on March 23, 2020.

3