CV

Summary

Principal Engineer at Samsung Electronics with nearly a decade of experience endowing robots with sophisticated visual intelligence. I lead the 3D vision AI for industrial automation, specializing in core technologies like stereo matching and 6-DoF object pose estimation. My work bridges academic research excellence, demonstrated by multiple top-tier publications, with the creation of robust, scalable automation solutions for real-world manufacturing environments.

Education

• Ph.D. & M.S. in Bio and Brain Engineering, KAIST, 2010-2016
• Research Trainee, Biomedical Imaging Group, EPFL, 2012-2013
• B.S. in Electrical Engineering, Hanyang University, 2005-2010

Work experience

• Sep 2016 - present: Principal Engineer
  • Samsung Electronics
  • Duties included:
    • Led the development of a proprietary 3D stereo vision system, unifying all aspects from custom hardware design and data generation to the core AI model implementation.
    • Served as the project lead for factory automation, successfully developing and deploying numerous robotic applications across Samsung’s global manufacturing lines.

Projects

• 3D Vision System Development (2022 - present)
  • Led the development of a proprietary 3D stereo vision system, culminating in a world-class stereo matching model that achieves state-of-the-art precision.
  • Pioneering a novel technique for selective depth processing to handle challenging environments with numerous transparent objects.
• Advanced Perception for Robotics (2020 - 2024)
  • Engineered RGB-D based 6-DoF object detection and pose estimation models for robotic manipulation in cluttered environments.
  • Pioneered the use of large-scale, CAD-based synthetic data to achieve superior model generalization across diverse industrial components.
• Automation Solution Deployment (2018 - 2024)
  • Engineered and deployed robust vision-guided automation solutions across Samsung’s global manufacturing sites, including Random Bin-Picking, Depalletizing, and high-precision Pick and Place.

Skills

• Programming: Python, C, C++, MATLAB
• ML/CV Libraries: PyTorch, TensorFlow, OpenCV, Open3D, Scikit-learn, Pandas
• Simulation: Blender, OpenAI Gym, Mujoco, Pybullet
• Domains: 3D Vision, Robot Manipulation, Factory Automation, Medical Imaging

Publications (selected)

• Min, J., Y. Jeon, J. Kim and M. Choi, “S2M²: Scalable Stereo Matching Model for Reliable Depth Estimation.” International Conference on Computer Vision (ICCV), 2025.
• Min, J. and Y. Jeon, “Confidence Aware Stereo Matching for Realistic Cluttered Scenario” IEEE International Conference on Image Processing (ICIP), 2024.
• Kim, B. and Min, J., “Sim-to-real Object Pose Estimation for Random Bin Picking.” IEEE International Conference on Robotics and Automation (ICRA), 2024.
• Choi, Y., et al., “Hierarchical 6-DoF Grasping with Approaching Direction Selection.”, IEEE International Conference on Robotics and Automation (ICRA), 2020.
• Min, J., Jin, K. and Ye, J., “Grid-free localization algorithm using low rank Hankel matrix for super-resolution microscopy.” IEEE Transactions on Image Processing (TIP), 2018.
• Kang, E., Min, J., and Ye, J., “A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.” Journal of Medical Physics, 2017.
• Sage, D., et al., “Quantitative evaluation of software packages for single-molecule localization microscopy”, Nature Methods, 2015.
• Min, J., et al., “FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data.” Scientific Reports, 2014.
• Min, J., et al., “Fluorescent microscopy beyond diffraction limits using speckle illumination and joint support recovery.”, Scientific Reports, 2013.

Patents (selected)

• “ROBOT CONTROL APPARATUS AND METHOD FOR LEARNING TASK SKILL OF THE ROBOT”, US11911912
• “APPARATUS AND METHOD FOR IDENTIFYING AND PICKING OBJECT USING ARTIFICIAL INTELLIGENCE ALGORITHM”, US11645778

Awards & Leadership

• 2nd place, the Samsung Creative Idea Competition, 2018
• 2nd place (out of 103), AAPM Low Dose CT Grand Challenge, 2016
• Organizer, 2nd Localization Microscopy Challenge in SMLMS, 2016
• Best Student Paper Award, IEEE ISBI, 2013
• Organizer, Localization Microscopy Challenge in IEEE ISBI, 2013
• 2nd place, Future Idea Competition, KOLON-KAIST, 2011
• National Scholarship for Ph.D. and M.S., 2010-2016