Singapore, Singapore

Minhoe Hur

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Hyundai Motor Company, Kia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Minhoe Hur. Retrieved from https://idiyas.com/inventor/minhoe-hur-7zstbz9k

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Minhoe Hur: Inventor in Computer Vision Training

Introduction

Minhoe Hur is an inventor based in Singapore. His patent work includes a system for training computer vision models through image augmentation and ground-truth mask adjustment.

Latest Patents

Hur is associated with 1 patent: “Training System for Computer Vision Model.” The invention describes extracting an instance from a source image and arranging it on a target image that contains an instance with a ground-truth mask. The system then augments the target image, adjusts the mask value based on the augmentation, and outputs the image with the adjusted mask. This approach supports the preparation of training data for computer vision models.

Career Highlights

Hur has worked with Hyundai Motor Company and Kia Corporation. His patent reflects an interest in methods for improving computer vision model training.

Collaborations

Keng Teck Ma and Evan Ling are identified as Hur’s coworkers.

Conclusion

Minhoe Hur’s patent focuses on augmenting image data while adapting ground-truth masks, connecting his work experience in the automotive industry with computer vision 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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