Senior Researcher at National Institute of Advanced Industrial Science and Technology (AIST)
Japan
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Summary
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Kensho Hara is a senior researcher and machine learning engineer with nine years of experience in computer vision and video understanding, currently based at Japan's National Institute of Advanced Industrial Science and Technology (AIST). He holds a Ph.D. in Informatics from Nagoya University and has progressed through postdoctoral and research roles to a senior researcher appointment, blending academic rigor with applied research. Kensho has contributed to popular open-source work on 3D ResNets for action recognition, building dataset tools and video-processing utilities that support large-scale benchmarks like ActivityNet and Kinetics. His profile reflects a strong focus on back-end systems for video datasets and reproducible research pipelines, with an emphasis on turning cutting-edge CV models into practical, usable tooling.
9 years of coding experience
1 year of employment as a software developer
Ph.D., Informatics, Ph.D., Informatics at Nagoya University
Contributions:2 releases, 423 commits, 4 PRs in 3 years 4 months
Contributions summary:Kensho's initial contribution involved setting up a new spatial transforms file, indicating an early development phase. Subsequent commits focused on adding functionality and features by creating the activitynet.py and kinetics.py files. Further work focused on the dataset and related tools by adding new utils to perform the video processing and labeling.
Contributions:26 pushes, 2 branches in 4 years 5 months
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