Daejeon, South Korea

Donghyeon Cho

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignees: Electronics and Telecommunications Research Institute, The Industry & Academic Cooperation in Chungnam National University. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Donghyeon Cho: Innovator in Deep Learning-Based Image Stitching

Introduction

Donghyeon Cho is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of image processing through his innovative work in deep learning technologies. His expertise has led to the development of advanced methods that enhance image stitching processes.

Latest Patents

Donghyeon Cho holds 1 patent for his invention titled "Deep learning-based image stitching method and apparatus." This patent describes a method that involves receiving multiple images, extracting feature maps, generating flow maps for pixel movement, and creating warping images. The final output is a stitched image that seamlessly blends the input images using advanced deep learning techniques.

Career Highlights

Throughout his career, Donghyeon Cho has worked with notable institutions, including the Industry & Academic Cooperation at Chungnam National University and the Electronics and Telecommunications Research Institute. His work in these organizations has allowed him to collaborate with other experts in the field and contribute to cutting-edge research.

Collaborations

Some of his notable coworkers include Hee Kyung Lee and Dae-Young Song. Their collaborative efforts have further advanced the research and development of innovative technologies in image processing.

Conclusion

Donghyeon Cho's contributions to deep learning and image stitching exemplify the impact of innovation in technology. His work continues to influence the field and inspire future advancements in image processing.

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