Teppei Kurita / 栗田 哲平

Image Sensor R&D / AI Signal Processing / Computational Imaging

Teppei Kurita

栗田 哲平

R&D engineer working at the intersection of image sensors, AI signal processing, and computational imaging.

Abstract image sensor and AI signal processing visual

About

Research and engineering for real imaging systems

I am an R&D engineer working on image sensor signal processing, AI-based imaging, and computational imaging. My work focuses on practical imaging systems, lightweight neural networks, RAW image processing, and real-world constraints in image sensor pipelines.

I also have experience in academic community activities and industry relations in computer vision and image processing, including Visiting Researcher experience at UCLA.

Highlights

Profile Highlights

Image sensor R&D

Signal processing for sensor pipelines, RAW data, and practical camera systems.

AI-based signal processing

Learning-based imaging methods designed with efficiency and deployment constraints in mind.

Computational imaging

Algorithms that combine optics, sensing, reconstruction, and downstream perception.

Computational Imaging input

Assisted with polarization imaging content for Computational Imaging (MIT Press, 2022); acknowledged in related materials.

Practical imaging systems

Experience connecting imaging algorithms with real-world sensor constraints.

Competition results

Recognized results in Kaggle and CVPR Workshop imaging challenges.

Public research outputs

Multiple peer-reviewed results at leading computer vision venues; details are available on Google Scholar.

Patent record

Dozens of public patent records in imaging and signal processing; details are available on Google Patents.

Academic and industry relations

Community activity across computer vision, image processing, and industry relations.

Expertise

Technical Focus

  • Sensor-aware computational imaging
  • Image sensor signal processing
  • RAW / sensor-domain imaging
  • Polarization imaging and sparse sensing
  • Dual-pixel depth estimation
  • Physics-informed lightweight models
  • Low-light image enhancement
  • Image restoration and reconstruction
  • Practical camera pipelines
  • Edge AI / on-device inference

Selected Competition Results

Measurable results in imaging and AI challenges

Awards & Recognition

Awards across imaging, AI, and research communities

  • Educational Merit Award, RSNA Lumbar Spine Degenerative Classification AI Challenge, 2024
  • Takagi Award, Symposium on Sensing via Image Information, 2021
  • Audience Award, Symposium on Sensing via Image Information, 2018
  • Best Academic Paper Award, Symposium on Sensing via Image Information, 2018
  • Research Award, Game Programming Workshop, 2008

Professional Activities

Community

  • Corporate Relations Vice Chair, MIRU 2026
  • Steering Committee Member, IPSJ SIG-CVIM, Apr. 2021 – Mar. 2026

Languages & Credentials

Additional profile

  • Japanese: Native
  • English: Business level
  • Kaggle Competitions Master
  • Real Estate Transaction Agent, Japan

Contact

Professional inquiries

Please contact me via LinkedIn or one of the listed professional profiles.

LinkedIn