Yongsheng Qi

Title: Yongsheng Qi: Innovator in Image Semantic Segmentation

Introduction

Yongsheng Qi is a prominent inventor based in Hohhot, China. He has made significant contributions to the field of image processing, particularly in the area of semantic segmentation. His innovative work has led to the development of advanced algorithms that enhance the understanding of images through deep learning techniques.

Latest Patents

Yongsheng Qi holds a patent for an "Image semantic segmentation algorithm and system based on multi-channel deep weighted aggregation." This patent describes a sophisticated algorithm that utilizes multi-channel deep weighted aggregation to improve image semantic segmentation. The algorithm effectively extracts semantic features with definite class information, transition semantic features, and context logic relationships within an image. By fusing these features through weighted aggregation, the algorithm achieves a comprehensive understanding of the image's global semantic information.

Career Highlights

Yongsheng Qi is affiliated with the Inner Mongolia University of Technology, where he continues to advance his research in image processing and deep learning. His work has garnered attention for its innovative approach to semantic segmentation, making significant strides in the field.

Collaborations

Yongsheng Qi has collaborated with notable colleagues, including Peiliang Chen and Liqiang Liu. These partnerships have contributed to the development and refinement of his patented technologies.

Conclusion

Yongsheng Qi is a key figure in the realm of image semantic segmentation, with a focus on deep learning algorithms. His contributions are paving the way for advancements in image processing technologies.