Adelaide, Australia

Chunhua Shen


Average Co-Inventor Count = 6.9

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations of Chunhua Shen in Image Segmentation

Introduction

Chunhua Shen is a prominent inventor based in Adelaide, Australia, known for his significant contributions to the field of artificial intelligence, particularly in image segmentation. With a total of two patents to his name, Shen has developed innovative methods that enhance the accuracy and efficiency of image processing.

Latest Patents

Chunhua Shen's latest patents include an "Instance Segmentation Method and Apparatus" and an "Image Segmentation Method and Image Processing Apparatus." The instance segmentation method provides a framework where a segmentation network processes instance groups within a sample image. This involves predicting multiple basic feature maps and attention feature maps, followed by weighted processing to create a feature fusion map. This method allows for precise pixel determination of instances in original images. The image segmentation method focuses on multi-layer feature extraction, downsampling, and upsampling to meet specific processing requirements, ultimately producing a target image that meets the desired criteria.

Career Highlights

Chunhua Shen is currently employed at Huawei Technologies Co., Limited, where he continues to push the boundaries of technology through his research and development efforts. His work has been instrumental in advancing the capabilities of artificial intelligence in image processing.

Collaborations

Chunhua Shen collaborates with notable colleagues, including Youliang Yan and Songcen Xu, who contribute to his innovative projects and research initiatives.

Conclusion

Chunhua Shen's contributions to image segmentation through his patents and work at Huawei Technologies Co., Limited highlight his role as a leading inventor in the field of artificial intelligence. His innovative methods are paving the way for advancements in image processing technology.

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