HsinChu County, Taiwan

Wei-Tsung Lee

This inventor holds 1 USPTO granted patent. Top assignee: Ambarella International LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wei-Tsung Lee. Retrieved from https://idiyas.com/inventor/wei-tsung-lee

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Wei-Tsung Lee and Object-Based Automatic White Balance

Introduction

Wei-Tsung Lee is an inventor based in HsinChu County, Taiwan. His work includes an invention applying neural network models and computer vision to automatic white balance in video.

Latest Patents

Lee is associated with 1 patent, titled “Object-Based Automatic White Balance Based on Neural Network Models.” The patent describes an apparatus with an interface that receives pixel data and a processor that analyzes video frames. The processor detects objects, evaluates their characteristics, and uses that information to determine adaptive auto-white-balance weightings. It then generates a weighting table for each frame and uses the table to determine white balance for the output video frames.

Career Highlights

Lee is associated with Ambarella International LP. His patent describes a method for adapting white balance to detected objects and their characteristics, rather than relying only on a uniform adjustment across a frame.

Collaborations

Lee’s listed coworker is Chung-Neng Wang. The available information identifies their professional association but does not specify the details of any joint work.

Conclusion

Wei-Tsung Lee’s patent presents an object-aware approach to video white balance, combining computer vision and neural network models to adapt image processing frame by frame.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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