Chucai Yi is a research and development Engineer.
As an active researcher in the fields of computer vision, his work involves object detection and recognition,
surveillance event detection, 3D point cloud processing, visual feature matching and filtering for 6DoF tracking.
He has authored many publications as listed in
Google Scholar. As a professional
software engineer, he has been designing and implementing end-to-end applications and services that apply cutting-edge
techniques to quickly prototype and solve specific problems. He is proficient with C++, Python, Matlab coding, and has
experience in large-scale data processing and full life cycle of software development. He is used to the common development
frameworks and tools.
Dr. Chucai Yi received his Ph.D. degree in computer science in 2014 from Media Lab,
The City University of New York
under the supervision of Professor YingLi Tian.
Experience
Visual feature matching and filtering in 6 Degrees-of-Freedom tracking system, which can support Google ARCore
and other SLAM applications.
Build High-Definition digital map from LIDAR point clouds
and camera-based images which are captured by street view cars.
Localize text instances (e.g., text strings) and signage instances (e.g., QR codes) from natural scene images.
Detect human-involved events such as waving, pointing, embracing, and running
from surveillance videos.
Experience in full cycle of software development, from requirement analysis to
system architecture design and core module development.
Experience in common development platforms, environments, and libraries.
Linux, Docker, AWS, CMake, Boost, OpenCV, PCL, Numpy, TensorFlow, etc.
Proficiency in C++ (6+ years) and Python (4+ years); Comfortable with Java (2+ years) and Linux shell (2+ years); Basic knowledge on mobile platform like Android.