Tainan City, Taiwan

Hong-Yu Chiu

This inventor holds 1 USPTO granted patent. Top assignee: Himax Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hong-Yu Chiu. Retrieved from https://idiyas.com/inventor/hong-yu-chiu-cty2remv

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: Hong-Yu Chiu and Depth Completion Innovation.

Introduction

Hong-Yu Chiu is an inventor based in Tainan City, Taiwan. His patent work includes a method for completing sparse depth maps, an approach that uses image information and a neural network to generate a denser depth representation.

Latest Patents

Chiu is associated with 1 patent: “Depth Completion Method of Sparse Depth Map and System Thereof.” The method acquires a grayscale image and its corresponding sparse depth map, then derives a nearest neighbor interpolation image and a Euclidean distance transform image from the sparse depth data. A neural network receives the grayscale image and both derived images to predict a residual map. The system combines that predicted residual map with the interpolation image to generate a predicted dense depth map.

Career Highlights

Chiu is associated with Himax Technologies, Inc. His patented method brings together depth-map processing and neural-network prediction to address the completion of missing depth information.

Collaborations

The available information connects Chiu’s work with Himax Technologies, Inc. and does not identify additional collaborators.

Conclusion

Hong-Yu Chiu’s patent describes a neural-network-based technique for transforming sparse depth data into a predicted dense depth map, reflecting his contribution to depth-processing innovation.

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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