Company Filing History:

10 out of 131,214

Samsung Electronics Co., Ltd.

patents

1 out of 3,086

Chinese Academy of Sciences

patents

Years Active: 2020-2025

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11 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12347141 - Method and apparatus with object pose estimation (2025-07-01),

2. 12175698 - Method and apparatus with object pose estimation (2024-12-24),

3. 12148182 - Method, apparatus, electronic device and storage medium for estimating object pose (2024-11-19),

4. 11900610 - Image processing apparatus and method (2024-02-13),

5. 11645756 - Image processing apparatus and method (2023-05-09),

6. 11315354 - Method and apparatus that controls augmented reality (AR) apparatus based on action prediction (2022-04-26),

7. 11295532 - Method and apparatus for aligning 3D model (2022-04-05),

8. 11188965 - Method and apparatus for recommending customer item based on visual information (2021-11-30),

9. 10937189 - Pose estimation method, method of displaying virtual object using estimated pose, and apparatuses performing the same (2021-03-02),

10. 10885659 - Object pose estimating method and apparatus (2021-01-05),

11. 10685434 - Method for assessing aesthetic quality of natural image based on multi-task deep learning (2020-06-16),

Title: Biography of Inventor Yueying Kao

Introduction

Yueying Kao is a prominent inventor based in Beijing, China. She has made significant contributions to the field of object pose estimation, holding a total of 11 patents. Her innovative work has garnered attention in both academic and industrial circles.

Latest Patents

Among her latest patents is a method and apparatus for object pose estimation. This method involves obtaining an instance segmentation image and a normalized object coordinate space (NOCS) map by processing an input single-frame image using a deep neural network (DNN). Additionally, she has developed a processor-implemented method that determines an image feature corresponding to a point cloud of an input image, estimating the pose of an object based on various segmentation and keypoint information.

Career Highlights

Yueying Kao has worked with notable organizations such as Samsung Electronics Co., Ltd. and the Chinese Academy of Sciences. Her experience in these institutions has allowed her to refine her skills and contribute to groundbreaking research in her field.

Collaborations

Throughout her career, Yueying has collaborated with esteemed colleagues, including Weiming Li and Yang Liu. These partnerships have facilitated the exchange of ideas and fostered innovation in object pose estimation technologies.

Conclusion

Yueying Kao's work continues to influence the landscape of technology and innovation. Her dedication to advancing the field of object pose estimation is evident through her

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