Xiaomin Li

Title: Innovations of Xiaomin Li in Object Detection

Introduction

Xiaomin Li is an accomplished inventor based in San Marcos, TX (US). She has made significant contributions to the field of object detection, showcasing her expertise through her innovative patent.

Latest Patents

Xiaomin Li holds a patent related to object detection. The patent describes a method for determining a segmentation mask that includes at least one moving object in a plurality of images. This process involves calculating the eccentricity for each pixel location across the images. The first image in the series can be segmented by applying the segmentation mask, which is then transformed into a compressed dense matrix containing pixel values for non-zero portions of the segmented image. This compressed matrix is input into a sparse convolutional neural network that is trained to detect objects. Ultimately, the network outputs a detected object corresponding to the moving object identified in the first image. Xiaomin Li has 1 patent to her name.

Career Highlights

Xiaomin Li is currently employed at Ford Global Technologies, LLC, where she continues to develop her innovative ideas and contribute to advancements in technology. Her work focuses on enhancing object detection systems, which are crucial in various applications, including autonomous vehicles and surveillance systems.

Collaborations

Xiaomin Li collaborates with talented individuals such as Mostafa Parchami and Kunjan Singh, who contribute to her projects and help drive innovation within the team.

Conclusion

Xiaomin Li's work in object detection exemplifies her commitment to innovation and technology. Her contributions are paving the way for advancements in the field, and her patent reflects her expertise and dedication to improving detection systems.