This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zhejiang University. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Hangjin Jiang: Innovator in Weakly Supervised Semantic Segmentation
Introduction
Hangjin Jiang is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of semantic segmentation, particularly through his innovative approaches to weakly supervised methods. His work focuses on enhancing the accuracy and efficiency of image segmentation, which is crucial in various applications, including computer vision and artificial intelligence.
Latest Patents
Hangjin Jiang holds a patent for a "Weakly supervised semantic segmentation method and device based on a commonality-specificity supervision mechanism." This invention addresses the challenges of blurred segmentation boundaries in weakly supervised tasks. The method utilizes a contrastive convolution module to identify ambiguous boundary regions within images. It also incorporates a commonality-specificity supervision module to improve the segmentation of target objects by optimizing the localization region and enhancing the segmentation boundary. The knowledge gap module further constructs contrastive generated images, effectively improving the performance of weakly supervised semantic segmentation at the image level.
Career Highlights
Hangjin Jiang is affiliated with Zhejiang University, where he continues to advance research in semantic segmentation. His work has garnered attention for its innovative approach and practical applications in the field of image processing. With a focus on overcoming limitations in existing methods, Jiang's contributions are paving the way for more effective image analysis techniques.
Collaborations
Hangjin Jiang has collaborated with notable colleagues, including Jianwei Yin and Ge Su. These partnerships have fostered a collaborative environment that enhances research outcomes and drives innovation in their respective fields.
Conclusion
Hangjin Jiang's work in weakly supervised semantic segmentation represents a significant advancement in image processing technology. His innovative methods and dedication to research continue to influence the field positively.