Company Filing History:
Years Active: 2021-2022
Title: Maoqing Tian: Innovator in Image Retrieval Technologies
Introduction
Maoqing Tian is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of image retrieval, holding 2 patents that enhance the accuracy and efficiency of image processing technologies. His work is instrumental in advancing the capabilities of artificial intelligence in visual recognition.
Latest Patents
Maoqing Tian's latest patents include an innovative image retrieval method and apparatus. This method involves obtaining an image group that includes a query image and at least one candidate image. It calculates an intermediate similarity between any two images in the group and performs multi-scale feature fusion based on this similarity to determine a target image corresponding to the query image. This approach significantly improves the precision and robustness of image retrieval.
Another notable patent focuses on methods and apparatuses for searching for a target person. This method enhances the accuracy of identifying individuals by utilizing an image of the target person to search a face image library. It matches the image with a first face image template and subsequently identifies at least one target pedestrian image template from a pedestrian image library. This innovation is crucial for applications in security and surveillance.
Career Highlights
Maoqing Tian is currently employed at Shenzhen Sensetime Technology Co., Ltd., a leading company in artificial intelligence and computer vision technologies. His role involves developing advanced algorithms that facilitate image recognition and retrieval processes. His expertise in this domain has positioned him as a key contributor to the company's innovative projects.
Collaborations
Maoqing collaborates with talented individuals such as Shuai Yi and Junjie Yan. Together, they work on various projects that push the boundaries of image processing and artificial intelligence.
Conclusion
Maoqing Tian's contributions to image retrieval technologies exemplify the impact of innovation in enhancing visual recognition systems. His patents reflect a commitment to improving the accuracy and efficiency of image processing, making significant strides in the field of artificial intelligence.