Tainan, Taiwan

Wen-Fu Lee

This inventor holds 1 USPTO granted patent. Top assignees: Himax Technologies, Inc., National Taiwan University. Active years: 2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wen-Fu Lee. Retrieved from https://idiyas.com/inventor/wen-fu-lee-66kyna3m

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations of Wen-Fu Lee

Introduction

Wen-Fu Lee is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of visual attention prediction through his innovative methods and systems. His work has implications in various applications, enhancing the understanding of visual processing.

Latest Patents

Wen-Fu Lee holds a patent for a "Learning-based visual attention prediction system and method thereof." This patent describes a method that includes learning a correlation relationship between fixation density and feature information through training. The method processes test video sequences to generate tested feature maps for each frame, which are then mapped into a saliency map indicating fixation strength.

Career Highlights

Throughout his career, Wen-Fu Lee has been associated with prestigious institutions such as National Taiwan University and Himax Technologies, Inc. His work at these organizations has allowed him to develop and refine his innovative ideas in visual attention prediction.

Collaborations

Wen-Fu Lee has collaborated with notable colleagues, including Homer H Chen and Su-Ling Yeh. Their combined expertise has contributed to advancements in their respective fields.

Conclusion

Wen-Fu Lee's contributions to visual attention prediction highlight his innovative spirit and dedication to advancing technology. His patent and collaborations reflect his commitment to enhancing our understanding of visual processing.

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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