This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Google Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Wei-Cheng Kuo in Visual Localization
Introduction
Wei-Cheng Kuo is an accomplished inventor based in Santa Clara, CA (US). He has made significant contributions to the field of visual localization, particularly in the context of natural language processing. His work focuses on enhancing the interaction between users and image data through innovative technologies.
Latest Patents
Wei-Cheng Kuo holds a patent titled "Localization of objects encoded in image data in accordance with natural language queries." This patent is directed towards generalized object location, where the located object corresponds to a natural language (NL) query. The embodiments of this invention include a unified generalized visual localization architecture. This architecture achieves enhanced performance in three key tasks: referring expression comprehension, object localization, and object detection. The system employs machine-learned NL models and/or image models, enabling it to understand and answer natural localization questions related to an image. It can output multiple boxes, provide no output if the object is not present (resulting in a null output), and solve general detection tasks. Wei-Cheng Kuo has 1 patent to his name.
Career Highlights
Wei-Cheng Kuo is currently employed at Google Inc., where he continues to develop innovative solutions in the realm of visual localization. His work is instrumental in bridging the gap between natural language queries and image data interpretation.
Collaborations
Some of his notable coworkers include Fred Bertsch and Wei Li, who contribute to the collaborative environment that fosters innovation at Google Inc.
Conclusion
Wei-Cheng Kuo's contributions to visual localization and natural language processing represent a significant advancement in the field. His innovative patent showcases the potential for enhanced interaction with image data, paving the way for future developments in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
