Peiliang Chen

Title: Peiliang Chen: Innovator in Image Semantic Segmentation

Introduction

Peiliang Chen is a prominent inventor based in Hohhot, China. He has made significant contributions to the field of image processing, particularly through his innovative work on semantic segmentation algorithms. His research focuses on enhancing the accuracy and efficiency of image analysis, which has important applications in various industries.

Latest Patents

Peiliang Chen holds a patent for an "Image semantic segmentation algorithm and system based on multi-channel deep weighted aggregation." This invention involves a sophisticated algorithm that utilizes multi-channel deep weighted aggregation to improve image semantic segmentation. The algorithm extracts semantic features with definite class information, transition semantic features, and context logic relationships from images. By fusing these features through weighted aggregation, the system aims to obtain comprehensive global semantic information, enhancing the overall performance of image analysis.

Career Highlights

Peiliang Chen is affiliated with Inner Mongolia University of Technology, where he continues to advance his research in image processing and artificial intelligence. His work has garnered attention for its innovative approach and practical applications in technology.

Collaborations

Peiliang Chen has collaborated with notable colleagues, including Yongsheng Qi and Liqiang Liu. These partnerships have contributed to the development and refinement of his research projects, fostering a collaborative environment for innovation.

Conclusion

Peiliang Chen's contributions to image semantic segmentation represent a significant advancement in the field of image processing. His innovative algorithm and dedication to research continue to influence the industry positively.