Shanghai, China

Tunan Shen

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Robert Bosch. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tunan Shen. Retrieved from https://idiyas.com/inventor/tunan-shen-8017ald8

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Tunan Shen: Innovator in Model Training and Image Processing

Introduction

Tunan Shen is a prominent inventor based in Shanghai, China. He has made significant contributions to the fields of model training, image processing, and multi-sensor calibration. His innovative work has led to the development of methods that enhance the understanding of occlusion relationships in images.

Latest Patents

Tunan Shen holds 1 patent for his invention titled "Model training method, image edge detection method, and multi-sensor calibration method." This patent discloses a method for model training, an image edge detection method, and a multi-sensor calibration method. The model is designed to generate occlusion relationships between pixel pairs. The model training method involves constructing an initial model, obtaining multiple training images with RGB and depth features, and using reference annotation results to train the model effectively.

Career Highlights

Tunan Shen is currently employed at Robert Bosch, where he applies his expertise in developing advanced technologies. His work focuses on improving image processing techniques and enhancing the capabilities of multi-sensor systems. His innovative approach has positioned him as a key player in his field.

Collaborations

Tunan Shen collaborates with talented individuals such as Su Wang and Daqing Kong. Together, they work on various projects that push the boundaries of technology and innovation.

Conclusion

Tunan Shen's contributions to model training and image processing demonstrate his commitment to advancing technology. His innovative methods and collaborative efforts continue to influence the industry positively.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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