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For the Inventor, By the Inventor

San Diego, CA, United States of America

Haoyu Ren

This inventor holds 18 USPTO granted patents and 4 published patent applications, primarily in Deep Learning Imaging. Top assignees: Samsung Electronics Co., Ltd., Samsung Electronics Ltd.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haoyu Ren. Retrieved from https://idiyas.com/inventor/haoyu-ren

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

USPTO Granted Patents = 18 

% Patents Active = 88.9

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 46(Granted Patents)


Company Filing History:

goldMedal17 out of 132,108 
 
Samsung Electronics Co., Ltd.
 patents
silverMedal1 out of 6,376 
 
Samsung Electronics Ltd.
 patents

Years Active: 2019-2026

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Areas of Expertise:
Super Resolution
Deep Learning
Convolutional Neural Network
Video Depth Estimation
Machine Learning
Computer Vision
Cascade Network
Temporal Attention
Disparity Estimation
Motion Compensation
Image Processing
Neural Networks
18 patents (USPTO):Explore Patents
1. 12585949 - System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions (2026-03-24),
2. 12026627 - System and method for deep machine learning for computer vision applications (2024-07-02),
3. 11995856 - Video depth estimation based on temporal attention (2024-05-28),
4. 11900234 - System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions (2024-02-13),
5. 11861859 - System and method for disparity estimation based on cost-volume attention (2024-01-02),
6. 11790489 - Systems and method of training networks for real-world super resolution with unknown degradations (2023-10-17),
7. 11699070 - Method and apparatus for providing rotational invariant neural networks (2023-07-11),
8. 11694305 - System and method for deep learning image super resolution (2023-07-04),
9. 11599979 - Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation (2023-03-07),
10. 11527005 - Video depth estimation based on temporal attention (2022-12-13),
11. 11429805 - System and method for deep machine learning for computer vision applications (2022-08-30),
12. 11354577 - System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions (2022-06-07),
13. 11094072 - System and method for providing single image depth estimation based on deep neural network (2021-08-17),
14. 11055866 - System and method for disparity estimation using cameras with different fields of view (2021-07-06),
15. 10970820 - System and method for deep learning image super resolution (2021-04-06),

Title: Haoyu Ren: Innovator in Computer Vision Technologies

Introduction: Haoyu Ren is a prominent inventor based in San Diego, California, known for his significant contributions to the field of computer vision and machine learning. With 17 patents to his name, Ren continues to push the boundaries of technology through innovative solutions and advanced methodologies.

Latest Patents: Among Ren's latest patents is a system and method for deep machine learning tailored for computer vision applications. This computer vision training system incorporates various learning strategies, including supervised, unsupervised, and weakly supervised learning systems. Each system plays a crucial role in estimating supervision outputs based on input images, calculating supervised losses, and optimizing parameters to enhance performance in CV applications.

Another notable patent focuses on video depth estimation using temporal attention. This method processes multiple video frames captured at different times, generating feature maps and calculating a temporal attention map. The resulting feature map is equipped with temporal attention, allowing for more accurate depth detection across video frames.

Career Highlights: Haoyu Ren is currently associated with Samsung Electronics Co., Ltd., where he leverages his expertise in machine learning and computer vision to develop cutting-edge technologies. His work has positioned him as a key figure in advancing the capabilities of visual computing.

Collaborations: Throughout his career, Ren has collaborated with talented coworkers, including Jungwon Lee and Mostafa El-Khamy. These collaborations enhance innovation and contribute to the successful development of sophisticated technologies in their field.

Conclusion: Haoyu Ren's impressive portfolio of patents and innovative work in computer vision exemplify his dedication to advancing technology. With his ongoing contributions at Samsung Electronics Co., Ltd., Ren is set to shape the future of machine learning and computer vision applications, making a lasting impact on the industry.

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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