Se Won Woo

Title: Se Won Woo: Innovator in Object Detection and Image Segmentation

Introduction

Se Won Woo is a distinguished inventor based in Seoul, South Korea, who has made significant contributions to the fields of object detection and image segmentation. He holds two patents that showcase his innovative approaches to improving machine learning processes in these areas.

Latest Patents

Se Won Woo's latest patents include the following groundbreaking inventions:

1. **Apparatus and Method of Labeling for Object Detection**: This invention involves an apparatus that intelligently selects a set of images requiring labeling from a pool of unlabeled images. The system not only determines the labeling order but also allows for user feedback to refine the labeling process. A model trainer learns from the feedback provided, enabling the creation of pseudo labels for supervised learning and optimizing the sequencing of images for analysis.

2. **Apparatus and Method for Training Model for Image Segmentation**: This patent describes an image segmentation model training apparatus that generates original masks from a set of unlabeled images using a pre-trained model. It further synthesizes image sets and generates pseudo labels to create a training image set, enhancing the training effectiveness of image segmentation models.

Career Highlights

Se Won Woo is currently employed at Samsung SDS Co., Ltd., where he leverages his expertise to drive forward innovations in machine learning and computer vision technologies. His work stands out in the competitive landscape of technology by focusing on automating and enhancing the integrity of image analysis.

Collaborations

Throughout his career, Se Won Woo has collaborated with notable colleagues including Jae Hyun Kim and Seung Ho Shin. Their combined efforts have led to advances in technology and improved solutions in the area of image processing.

Conclusion

Se Won Woo's inventive spirit and focus on practical solutions to complex problems illustrate his commitment to advancing technology in significant ways. His patents not only reflect his capabilities as an innovator but also contribute to the ongoing evolution of machine learning applications in various industries.