Company Filing History:
Years Active: 2019
Title: Innovations of Chi Li in Action Recognition Systems
Introduction
Chi Li is an accomplished inventor based in San Jose, CA, with a focus on advanced technologies in action recognition systems. He holds a total of 4 patents, showcasing his expertise and contributions to the field of computer vision and machine learning.
Latest Patents
Chi Li's latest patents include an "Action recognition system with landmark localization on objects in images using convolutional neural networks." This innovative system utilizes an image capture device to analyze actual images of objects. It employs a processor that renders synthetic images based on 3D CAD models, forming a multi-layer CNN that models various intermediate shape concepts. The system performs advanced 3D object parsing to identify actions based on the generated image pairs, which include both 2D and 3D geometric structures of the objects.
Another significant patent is "Landmark localization on objects in images using convolutional neural networks." This system also captures actual images and utilizes a processor to render synthetic images. It forms a multi-layer CNN to model shape concepts and performs intra-class appearance variation-aware and occlusion-aware 3D object parsing. The output includes an image pair that provides both 2D and 3D geometric structures of the depicted objects.
Career Highlights
Chi Li is currently employed at NEC Corporation, where he continues to develop innovative solutions in the realm of image processing and recognition technologies. His work has significantly advanced the capabilities of action recognition systems, making them more efficient and effective.
Collaborations
Chi Li collaborates with talented individuals such as Muhammad Zeeshan Zia and Quoc-Huy Tran, contributing to a dynamic and innovative work environment.
Conclusion
Chi Li's contributions to the field of action recognition systems through his patents and collaborative efforts highlight his role as a leading inventor in technology. His work continues to push the boundaries of what is possible in image recognition and processing.