Are you looking to solve complex challenges in imaging sensor applications for your product: Automotive, IoT, Robotics, Digital Imaging, AI etc?
https://www.linkedin.com/in/yajiesun/
Core Expertise: Yajie Sun possesses extensive experience (over 20 years) in the fields of Computer Vision, Image Processing, and Machine Learning, specializing in CMOS imaging sensors, camera ISP algorithms, image quality tuning, and image/video analysis.
Strong Academic Background: PhD in Electrical and Computer Engineering from Purdue University, complemented by a Master's in Biomedical Engineering.
Diverse Industry Experience: Held senior positions in prominent companies like Samsung, GoPro, Aptina Imaging, Nokia Technologies, and Phantom AI, contributing significantly to product development and research.
Prolific Inventor: Holds over 20 patents in the US and Europe showcasing innovation in color shading removal, aperture sharpening, 3D depth-based imaging, and multi-camera systems.
Adaptable Skillset: Demonstrates proficiency in various programming languages, frameworks, and technologies including C/C++, OpenCV, Matlab, Python, TensorFlow, PyTorch, and Android SDK.
Key Areas of Expertise and Contributions:
CMOS Image Sensor Technologies:
Deep understanding of CMOS imaging sensor architecture and operation.
Developed and refined aperture sharpening algorithms for various CMOS image sensors enhancing image clarity and detail.
Devised a novel color shading removal algorithm for Bayer raw images, mitigating color inconsistencies and artifacts (awarded a US Patent).
Successfully implemented a demosaic algorithm for a novel 4x4 BGR-IR pattern, enabling high-quality RGB and IR image acquisition.
Camera ISP Algorithms and Tuning:
Extensive experience in tuning and optimizing image signal processing (ISP) pipelines for various applications, including consumer cameras, automotive ADAS, and mobile devices.
Contributed to the development and tuning of HDR (High Dynamic Range) imaging systems, improving image quality in challenging lighting conditions.
Resolved critical camera module issues related to flickering, saturation, and dynamic range, leading to successful design wins with major clients.
3D Vision and Applications:
Proficient in 3D stereo calibration and depth map generation enabling 3D vision applications.
Developed a depth map-based blur system for refocusing and bokeh effects, simulating the shallow depth of field of professional lenses.
Proposed innovative concepts like the "communicative camera" for multi-camera data fusion, showcasing forward-thinking vision in imaging technology.
Machine Learning and AI:
Expert in applying Machine Learning and AI techniques for image analysis and computer vision tasks.
Proficient in utilizing libraries like OpenCV, scikit-learn, PyTorch, and TensorFlow for tasks like object detection, segmentation, and image classification.
Offers insights into cutting-edge technologies like U-Net models, Transformers, Diffusion Models, and LoRA fine-tuning for image/video generation and analysis.
Computer Vision for Diverse Applications:
Developed immersive VR applications with hand tracking and gesture recognition using Leap Motion Controller and Android SDK.
Created a computer vision solution for apple blossom detection from drone imagery, demonstrating expertise in agricultural technology.
Designed a hydroponic plant segmentation and counting system, highlighting adaptability and problem-solving skills in various domains.
Yajie Sun is a highly skilled and experienced professional with a proven track record of innovation and impactful contributions in the field of computer vision and image processing. His expertise spans from fundamental image sensor technologies to advanced AI-powered applications, making him a valuable asset to any organization involved in imaging and vision systems.
