Gwangju, South Korea

Seongho Bak


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Seongho Bak: Innovator in Amodal Instance Segmentation

Introduction

Seongho Bak is a prominent inventor based in Gwangju, South Korea. He has made significant contributions to the field of computer vision, particularly in the area of object instance segmentation. His innovative work has led to the development of a unique patent that addresses complex challenges in visual perception.

Latest Patents

Seongho Bak holds a patent for a "Hierarchical occlusion module and unseen object amodal instance segmentation system and method using the same." This patent outlines a hierarchical occlusion inference method that includes several steps. It involves deriving a bounding box feature of the object instance by receiving a region of interest color-depth feature and the object region of interest feature from a cluttered scene image. The method further includes deriving a visible feature of the object instance by fusing the object region of interest feature and the bounding box feature. Additionally, it derives an amodal feature by fusing the object region of interest feature, the bounding box feature, and the visible feature. The process also includes deriving an occlusion feature and inferring occlusion of an object instance through de-convolution.

Career Highlights

Seongho Bak is affiliated with the Gwangju Institute of Science and Technology, where he continues to advance his research in computer vision. His work has garnered attention for its innovative approach to solving problems related to occlusion and unseen objects in visual data.

Collaborations

Seongho Bak collaborates with talented colleagues, including Seunghyeok Back and Kyoobin Lee. Their combined expertise contributes to the advancement of research in their field.

Conclusion

Seongho Bak's contributions to the field of computer vision through his innovative patent demonstrate his commitment to advancing technology. His work not only addresses current challenges but also paves the way for future developments in object instance segmentation.

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