Beijing, China

Houjing Huang


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: The Innovations of Houjing Huang

Introduction

Houjing Huang is a notable inventor based in Beijing, China. He has made significant contributions to the field of image processing, particularly through his innovative patent. His work addresses critical challenges in image recognition and model accuracy.

Latest Patents

Houjing Huang holds a patent for an image processing method, a related device, and a computer storage medium. This method involves obtaining a feature intensity image corresponding to a training image. The intensity value of a pixel in the feature intensity image indicates the importance of that pixel for recognizing the training image. The resolution of the training image matches that of the feature intensity image. The method also includes occluding a to-be-occluded region in the training image based on the feature intensity image, using a preset window to create a new image. This new image is then utilized to update an image recognition model. The innovation effectively resolves the issue of low accuracy and poor generalization performance in models due to limited training data.

Career Highlights

Throughout his career, Houjing Huang has worked with prominent organizations, including Huawei Technologies Co., Limited and the Chinese Academy of Sciences. His experience in these institutions has allowed him to develop and refine his expertise in image processing technologies.

Collaborations

Houjing Huang has collaborated with several professionals in his field, including Bailan Feng and Chunfeng Yao. These collaborations have contributed to the advancement of his research and innovations.

Conclusion

Houjing Huang's contributions to image processing through his patent demonstrate his commitment to enhancing technology in this area. His work not only addresses existing challenges but also paves the way for future advancements in image recognition.

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