Xinpeng Liao is a prominent inventor based in San Jose, California. He has made significant contributions to the field of technology, particularly in the areas of image processing and unmanned aerial vehicles. With a total of six patents to his name, Liao continues to push the boundaries of innovation.

Latest Patents

Liao's latest patents include a "Method and device for Quasi-Gibbs structure sampling by deep permutation for person identity inference." This invention provides a method for visual appearance-based person identity inference by utilizing a gallery set of images and a probe set of images. The method involves extracting feature maps using a Deep Neural Network and identifying images containing the same person of interest.

Another notable patent is the "System and method for vision-based flight self-stabilization by deep gated recurrent Q-networks." This invention focuses on self-stabilization for unmanned aerial vehicles (UAVs) by processing raw images captured by a camera. The method predicts actions to counteract disturbances, ensuring stable flight.

Career Highlights

Xinpeng Liao is currently employed at Tcl Research America Inc., where he continues to develop innovative solutions. His work has garnered attention in the tech community, and he is recognized for his expertise in deep learning and image processing technologies.

Collaborations

Liao collaborates with talented individuals such as Xiaobo Ren and Haohong Wang. Their combined efforts contribute to the advancement of technology and innovation in their respective fields.

Conclusion

Xinpeng Liao is a distinguished inventor whose work in image processing and UAV technology has led to significant advancements. His patents reflect a commitment to innovation and a drive to improve technology for practical applications.

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