Seattle, WA, United States of America

Shichong Peng


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Shichong Peng: Innovator in Depth Map Completion Technology

Introduction

Shichong Peng is a notable inventor based in Seattle, WA, who has made significant contributions to the field of visual content processing. His innovative work focuses on enhancing depth map generation techniques, which are crucial for various applications in computer vision and image analysis.

Latest Patents

Shichong Peng holds a patent for "Depth map completion in visual content using semantic and three-dimensional information." This patent outlines methods for generating fine depth maps for images of a scene by utilizing semantic segmentation and segment-based refinement neural networks. The process involves creating a segmentation map through a segmentation neural network, which divides the scene into multiple regions associated with various categories. A first depth map is generated based on depth measurements, followed by a second depth map refined through the segmentation map and the initial depth map. This innovative approach allows for more accurate depth perception in visual content.

Career Highlights

Shichong Peng is currently employed at Qualcomm Incorporated, where he continues to develop cutting-edge technologies in the field of visual processing. His work has positioned him as a key player in advancing the capabilities of depth map generation, which is essential for improving the quality of visual content in various applications.

Collaborations

Shichong has collaborated with talented individuals such as Hong Cai and Janarbek Matai, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Shichong Peng's contributions to depth map completion technology exemplify the impact of innovative thinking in the field of visual content processing. His work not only enhances the accuracy of depth perception but also paves the way for future advancements in computer vision.

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