Company Filing History:
Years Active: 2017-2021
Title: Zhenyang Li: Innovator in Video Understanding Technologies
Introduction
Zhenyang Li is a prominent inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of video understanding, particularly through his innovative methods for action and actor localization. With a total of 3 patents, his work has garnered attention in both academic and industry circles.
Latest Patents
Zhenyang Li's latest patents include groundbreaking technologies that enhance video analysis. One of his notable inventions is the method for spatio-temporal action and actor localization. This method allows for pixel-wise localization of an actor and an action in a sequence of frames by utilizing a natural language query. The process involves receiving the sequence of frames and localizing the action and actor based on the provided query. Another significant patent is focused on recurrent networks with motion-based attention for video understanding. This method predicts action labels for a video stream by calculating the optical flow of consecutive frames and generating an attention map from the current frame. The action label is then predicted based on the optical flow, a previous hidden state, and the attention map.
Career Highlights
Throughout his career, Zhenyang Li has worked with notable companies, including Qualcomm Incorporated. His experience in the tech industry has allowed him to develop and refine his innovative ideas, contributing to advancements in video processing technologies.
Collaborations
Zhenyang Li has collaborated with esteemed colleagues such as Cornelis Gerardus Maria Snoek and Efstratios Gavves. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise in the field of video understanding.
Conclusion
Zhenyang Li's contributions to video understanding technologies through his patents and collaborations highlight his role as an influential inventor. His innovative methods continue to shape the future of video analysis and localization.