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For the Inventor, By the Inventor

Santa Clara, CA, United States of America

Quoc-Huy Tran

USPTO Granted Patents = 16 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 45(Granted Patents)


Company Filing History:

goldMedal15 out of 35,734 
 
Nec Corporation
 patents
silverMedal1 out of 196 
 
Nec C Orporation
 patents

Years Active: 2019-2023

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16 patents (USPTO):Explore Patents
1. 11694311 - Joint rolling shutter image stitching and rectification (2023-07-04),
2. 11599974 - Joint rolling shutter correction and image deblurring (2023-03-07),
3. 11468585 - Pseudo RGB-D for self-improving monocular slam and depth prediction (2022-10-11),
4. 11462112 - Multi-task perception network with applications to scene understanding and advanced driver-assistance system (2022-10-04),
5. 11321853 - Self-supervised visual odometry framework using long-term modeling and incremental learning (2022-05-03),
6. 11222409 - Image/video deblurring using convolutional neural networks with applications to SFM/SLAM with blurred images/videos (2022-01-11),
7. 11132586 - Rolling shutter rectification in images/videos using convolutional neural networks with applications to SFM/SLAM with rolling shutter images/videos (2021-09-28),
8. 10884433 - Aerial drone utilizing pose estimation (2021-01-05),
9. 10852749 - Learning good features for visual odometry (2020-12-01),
10. 10832084 - Dense three-dimensional correspondence estimation with multi-level metric learning and hierarchical matching (2020-11-10),
11. 10762359 - Computer aided traffic enforcement using dense correspondence estimation with multi-level metric learning and hierarchical matching (2020-09-01),
12. 10679075 - Dense correspondence estimation with multi-level metric learning and hierarchical matching (2020-06-09),
13. 10331974 - Action recognition system with landmark localization on objects in images using convolutional neural networks (2019-06-25),
14. 10289936 - Surveillance system with landmark localization on objects in images using convolutional neural networks (2019-05-14),
15. 10289935 - Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks (2019-05-14),

Title: Quoc-Huy Tran: Innovator in Image Processing Technologies

Introduction

Quoc-Huy Tran is a prominent inventor based in Santa Clara, CA (US), known for his significant contributions to image processing technologies. With a total of 16 patents to his name, he has developed innovative methods that address complex challenges in the field of image stitching and correction.

Latest Patents

One of his latest patents is focused on joint rolling shutter image stitching and rectification. This computer-implemented method utilizes rolling shutter-aware spatially varying differential homography fields to simultaneously remove rolling shutter distortions and stitch images. The process involves inputting two consecutive frames with rolling shutter distortions, performing keypoint detection and matching, and estimating a differential homography field to produce corrected stitched images.

Another notable patent addresses joint rolling shutter correction and image deblurring. This method aims to remove rolling shutter distortions and blur artifacts from a single input image. It generates a set of rolling shutter blurred images and employs a convolutional neural network to predict a rectified and deblurred image, enhancing the quality of the output.

Career Highlights

Quoc-Huy Tran has worked with notable companies such as NEC Corporation, where he honed his skills in image processing and technology development. His experience in these organizations has contributed to his innovative approach to solving complex imaging problems.

Collaborations

Throughout his career, Quoc-Huy has collaborated with esteemed colleagues, including Manmohan Chandraker and Muhammad Zeeshan Zia. These collaborations have further enriched his work and led to advancements in the field of image processing.

Conclusion

Quoc-Huy Tran's innovative contributions to image processing technologies, particularly in rolling shutter correction and image stitching, highlight his expertise and dedication to advancing the field. His work continues to influence the development of more effective imaging solutions.

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