This inventor holds 4 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Google Inc., University of Florida Research Foundation Inc.. Active years: 2014-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Santa Clara, CA (US) (2014)
- Mountain View, CA (US) (2023)
Company Filing History:


Years Active: 2014-2026
Title: Zhichao Lu: Innovator in Video Data Processing
Introduction
Zhichao Lu is a prominent inventor based in Mountain View, CA, known for his contributions to the field of video data processing. With a focus on enhancing the understanding of human activities through advanced technology, he has made significant strides in the realm of artificial intelligence and machine learning.
Latest Patents
Zhichao Lu holds 4 patents, with his latest invention being the "Pose Empowered RGB-flow Net." This innovative method involves receiving video data that includes a series of frames representing an actor performing an activity. The process generates a spatial input stream, a temporal input stream, and a pose input stream, all of which are essential for classifying the activity using neural networks. This technology aims to improve the accuracy and efficiency of activity recognition in various applications.
Career Highlights
Lu is currently employed at Google Inc., where he continues to develop cutting-edge technologies that leverage video data for enhanced user experiences. His work is instrumental in pushing the boundaries of what is possible in the field of computer vision and artificial intelligence.
Collaborations
Zhichao Lu has collaborated with notable colleagues, including Yinxiao Li and Xuehan Xiong. Their combined expertise contributes to the advancement of innovative solutions in video processing and activity recognition.
Conclusion
Zhichao Lu's work exemplifies the intersection of technology and creativity, showcasing how innovations in video data processing can lead to significant advancements in understanding human activities. His contributions continue to shape the future of artificial intelligence and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile