Shumin Han

Title: Inventor Spotlight: Shumin Han and His Contributions to Technology

Introduction: Shumin Han, an innovative inventor located in Beijing, China, has made significant contributions to the fields of computer vision, deep learning, and intelligent medical technology. With a total of five patents to his name, Han continues to push the boundaries of technological advancements.

Latest Patents: Among his latest patents, Han has developed a method and apparatus for evaluating image relative definition. This invention relates to the extraction of multi-scale features from images to represent definition features of objects of varying sizes. By scoring the relative definition of each image using a pre-trained relative definition scoring model, Han's advancements offer valuable insights into image processing and assessment.

Another notable patent involves a robust method for detecting surface defects. This patent outlines a defect detection model that utilizes surface images to discern whether certain articles are defective. The process employs generative adversarial networks (GANs) to enhance the accuracy of defect detection, showcasing Han’s innovative approach to improving product quality through advanced algorithms.

Career Highlights: Shumin Han has built an impressive career and has held positions at prominent companies such as Beijing Baidu Netcom Science and Technology Co., Ltd. and Baidu Online Network Technology (Beijing) Co., Ltd. His work at these organizations has allowed him to refine his skills and contribute to cutting-edge technological research and development.

Collaborations: Throughout his career, Han has collaborated with talented professionals, including colleagues Yuan Feng and Ying Xin. These collaborations have fostered an environment of innovation and have enhanced the impact of his work on the industry.

Conclusion: Shumin Han stands out as a remarkable inventor whose patents reflect his expertise and commitment to technological advancement. His contributions to image evaluation and defect detection are not only significant in the realm of computer vision but also reveal the potential for enhancing intelligent medical technologies. As he continues to innovate, Han's work will no doubt inspire future developments in these critical fields.