Buyu Liu

Title: Innovations of Buyu Liu

Introduction

Buyu Liu is a prominent inventor based in Cupertino, California. He has made significant contributions to the field of technology, particularly in the areas of trajectory prediction and multi-modal adaptation. With a total of 15 patents to his name, Liu's work is at the forefront of innovation in his industry.

Latest Patents

One of Liu's latest patents is titled "Divide-and-conquer for lane-aware diverse trajectory prediction." This method provides a novel approach to driving path prediction by concatenating past trajectory features and lane centerline features. The method utilizes convolutional features derived from a top view map and extracts hypercolumn descriptor vectors to generate primary and auxiliary trajectory predictions. Another significant patent is "Multi-modal test-time adaptation," which outlines systems and methods for adapting to different modalities during testing. This method involves inputting digital images and point cloud sets into pre-trained generators, applying models to create pseudo-labels, and refining these labels to obtain robust predictions.

Career Highlights

Liu's career is marked by his innovative approaches to complex problems in technology. His work has not only advanced the field but has also set new standards for trajectory prediction and adaptation methods. His contributions are recognized within the industry, and he continues to push the boundaries of what is possible with technology.

Collaborations

Throughout his career, Liu has collaborated with notable colleagues, including Manmohan Chandraker and Yi-Hsuan Tsai. These collaborations have further enriched his work and have led to advancements in their respective fields.

Conclusion

Buyu Liu is a distinguished inventor whose work in trajectory prediction and multi-modal adaptation has made a significant impact on technology. His innovative patents and collaborations highlight his commitment to advancing the field. Liu's contributions will undoubtedly continue to influence future developments in technology.