Yi Ping Tse

Title: Yi Ping Tse: Innovator in Visual Content Search and Text Summarization

Introduction

Yi Ping Tse is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the fields of visual content search and natural language processing. With a total of 3 patents, his work showcases innovative approaches to technology that enhance user experience and efficiency.

Latest Patents

One of Yi Ping Tse's latest patents is a fine-grained visual content search platform. This platform comprises an object detection model, a coarse-grained image classification model, and a selection of fine-grained image classification models. During inference, the object detection model locates and extracts a query object in a query image. The coarse-grained image classification model classifies the query object's meta-category. The fine-grained image classification model, trained and optimized for the meta-category of the query object, is selected to search and retrieve from an image database images of objects most similar to the query object. This model is implemented by a multi-focus fine-grained image search and retrieval apparatus, which includes a class learning module, a local description module, and an outline description module.

Another notable patent is a method of summarizing text with sentence extraction. This method involves extracting sentences from a document using a natural language processing (NLP) based feature extractor. A word vector set is generated for each sentence, which is then used to create n-grams and phrase-n vector sets. The method computes similarity scores and combines them to output a summary of the document, effectively condensing information while retaining essential details.

Career Highlights

Yi Ping Tse is currently associated with the Hong Kong Applied Science and Technology Research Institute Company, Limited. His work at this institute emphasizes the application of advanced technologies to solve real-world problems. His innovative contributions have positioned him as a key figure in the research community.

Collaborations

Some of his notable coworkers include Yang Liu and Chao Feng. Their collaborative efforts have further advanced the research and development of innovative technologies in their respective fields.

Conclusion

Yi Ping Tse's work exemplifies the spirit of innovation in technology, particularly in visual content search and text summarization. His patents reflect a commitment to enhancing the efficiency and effectiveness of information retrieval systems. Through his contributions, he continues to influence the landscape of technology and research.