NEWS
- “HIPIE: Hierarchical Open-vocabulary Universal Image Segmentation” has been accepted to NeurIPS2023
- An article on HIPIE was published in Nikkei Robotics
About
Kazuki Kozuka, Ph.D (小塚 和紀)
- Contact: kozuka.kazuki [at] jp.panasonic.com
- Organization: Digital & AI Technology Center, Technology Division, Panasonic
- Research: Image Recognition / Computer Vision
Kazuki Kozuka is a manager at Panasonic Corporation. He received his Ph.D degrees from Nagoya Institite of Technology in 2009. In 2009, he joined Advanced Technology Laboratories, Panasonic Corporation, Japan, where he was involved in research on neuroscience, image recognition. He was also a visiting scholar in Stanford University between 2016 and 2019. His research interests lie in visual understanding through machine learning, mainly for computer vision and natural language processing. He received JCMI Best Presentation Award in 2013, JCMI Young Researcher Award in 2014, and MVA Best Poster Awards in 2015, SDGs Special Prize in 2023.
Experience
He is a researcher who specializes in collaboration, and has experienced joint research projects with various research institutes.
Education
MBA candidate
2023 - Present
Graduate School of Management, Kyoto University, Kyoto, Japan
Adviser: Prof. Tomoki Sekiguchi
- Algorithmic Management and the Transformation of Thoughts, Abilities, and Behaviors of Working People
Research student
2022-2023
Graduate School of Fine Arts, Tokyo University of the Arts, Tokyo, Japan
Adviser: Prof. Hideto Fuse
- Artistic Anatomy
Ph.D in Engineering
2006 - 2009
Nagoya Institute of Technology, Nagoya, Japan
Adviser: Prof. Jun Sato
- Research of multi-view geometry under more general conditions when using various types of sensors (1, 2, 3D, moving sensors, ...).
- Multiple View Geometry of Mixed Dimensional Cameras.
M.S in Engineering
2004 - 2006
Nagoya Institute of Technology, Nagoya, Japan
Adviser: Prof. Jun Sato
- Development of 3D shape reconstruction algorithm for auto-parking system.
- Development of stabilization algorithm for feature extraction in translational camera and shape reconstruction by epipolar geometry.
Professional Experience
Manager
2022 - Present
Panasonic Holdings Corporation, Osaka, Japan
Panasonic Corporation transits to a holding company system and changes the corporate name.
- Lead of AI data management project
- Lead projects to improve the amount/quality of data for AI and to develop it efficiently.
- Lead AI research collaborations with top universities (Stanford University, U.C.Berkeley).
Senior Chief Researcher
2021 - 2022
Panasonic Corporation, Osaka, Japan
- Lead projects to improve the amount/quality of data for AI and to develop it efficiently.
- Lead AI research collaborations with top universities (Stanford University, U.C.Berkeley).
Visiting Scholar
2016 - 2019
Stanford University, California, USA
Adviser: Prof. FeiFei Li, Prof. Silvio Savarese, Dr. Juan Carlos Niebles
- Lead a project on risk prediction technology for self-driving.
Chief Researcher
2012 - 2021
Panasonic Corporation, Osaka, Japan
- Launched the Home Action Genome project to build/publish the world's largest action recognition dataset with Stanford University.
- Launched the risk pediction project and started collaboration with Stanford University.
- Launched an AI-based proteomics analysis project and started collaboration with Tokyo Institute of Technology.
- Launching a collaboration with Yamaguchi University for diagnostic imaging support.
- Developed a similar case retrieval system in collaboration with doctors at the University of Fukui.
Researcher
2009 - 2012
Panasonic Corporation, Osaka, Japan
- Developed a technology to search for similar cases by reproducing the points that doctors focus on during diagnosis.
- Launched a project to support doctor's diagnosis, and starting a collaboration with the University of Fukui.
- Developed 3D shape recognition for products and collaboration with the University of Tokyo.
- Developed a technology to estimate sound comfort using ERP.
Collaboration Experience
Berkeley Artificial Intelligence Research Lab, U.C. Berkeley
2021 - present
Adviser: Prof. Trevor Darrell, Prof. Pieter Abbeel, Prof. Kurt Keutzer, Prof. Alexei Efros, Prof. Jitendra Malik
- Research not disclosed.
Stanford Vision and Learning Lab, Stanford University
2016 - present
Adviser: Prof. FeiFei Li, Prof. Silvio Savarese, Dr. Juan Carlos Niebles, Prof. Ehsan Adeli
- Collaborate in building a large scale dataset "Home Action Genome" and organizing competitions "CAMP workshop".
Machine Perception and Robotics Group, Chubu University
2015 - present
Adviser: Prof. Hironobu Fujiyoshi, Prof. Takayoshi Yamashita
- Collaboration in the development of human trajectory prediction technology based on human regions and surrounding environment information.
Department of Community Health Care Promotion, University of Fukui
2021 - present
Adviser: Prof. Osamu Yamamura
- Research not disclosed.
Computer Vision Laboratory, Tohoku University
2015 - 2016
Adviser: Prof. Takayuki Okatani
- Research not disclosed.
Biological Physics Laboratory, Tokyo Institute of Technology
2014 - 2015
Adviser: Prof. Nobuhiro Hayashi
- Collaboration in developing technology to predict sepsis using 2D electrophoresis images
Graduate School of Medicine, Yamaguchi University
2014 - 2015
Adviser: Prof. Shoji Kido
- Collaboration in developing a diagnostic support system for lung CT.
School of Medical Sciences, University of Fukui
2011 - 2015
Adviser: Prof. Hirohiko Kimura, Prof. Toyohiko Sakai
- Collaboration in the development of diagnostic support systems for lung CT (similar case retrieval system) and X-ray angiography.
JSK Laboratory, the University of Tokyo
2009 - 2012
Adviser: Prof. Masayuki Inaba
- Collaboration in the development of classification technology for 3D data including deformed objects based on the similarity of overall shape and local shape distribution.
Cognitive Psychophysiology Laboratory, Hiroshima University
2009 - 2010
Adviser: Prof. Hiroshi Nittono
- Collaboration in the development of automatic adjustment technology for hearing aids using event-related potentials.