Sangjun Noh

Title: Sangjun Noh: Innovator in Amodal Instance Segmentation

Introduction

Sangjun Noh 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 advanced methods that enhance the understanding of occluded objects in complex scenes.

Latest Patents

Sangjun Noh 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 deriving a bounding box feature of the object instance, fusing various features to derive visible and amodal features, and inferring occlusion of an object instance through advanced techniques. This invention is crucial for improving the accuracy of object detection in cluttered environments.

Career Highlights

Sangjun Noh is affiliated with the Gwangju Institute of Science and Technology, where he conducts research and development in cutting-edge technologies. His work has garnered attention for its practical applications in various industries, including robotics and artificial intelligence.

Collaborations

Sangjun has collaborated with notable colleagues such as Seunghyeok Back and Kyoobin Lee. Their teamwork has contributed to the advancement of research in the field of computer vision and has led to innovative solutions for complex problems.

Conclusion

Sangjun Noh's contributions to the field of amodal instance segmentation demonstrate his commitment to innovation and excellence. His patent and collaborative efforts highlight the importance of teamwork in advancing technology.