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Gyeonggi-do, South Korea

Naver Corporation

USPTO Granted Patents = 355

% Expired Patents = 1.4

EPO Patents = 23

Trademarks = 23

Forward Citations = 682

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804 inventors (with patents filed for the assignee):

Hyo Jung Kim (28 out of 44 patents)

Ji Han Kim (18 out of 18 patents)

Hyun Chul Lee (18 out of 19 patents)

4. Byoung Kwan Kim (16 out of 16 patents)

5. Julien Perez (15 out of 29 patents)

6. Philippe Weinzaepfel (15 out of 15 patents)

7. Dai Hyun Lim (14 out of 14 patents)

8. Boris Chidlovskii (10 out of 59 patents)

9. Byung Gyou Choi (9 out of 9 patents)

10. Sungho Kim (9 out of 9 patents)

11. Joon-Kee Chang (9 out of 12 patents)

12. Dae Hwang Kim (9 out of 10 patents)

13. Diane Larlus (8 out of 8 patents)

14. Hady Elsahar (7 out of 8 patents)

15. Young In Koh (7 out of 8 patents)

Core Competencies:

Neural Machine Translation

Fine-Tuning Models

Multimodal Processing

Voice Request

Augmented Reality

Image Retrieval

Audio Content

Reinforcement Learning

Language Models

Generative Adversarial Network

Pose Estimation

Robot Skills

355 patents: Sort by Forward Citations

1. 12743714 - Method, system, and recording medium for expanding and utilizing data using pseudonymous association (2026-09-22),

2. 12736354 - Apparatus and method for hybrid navigation of a pedestrian tour (2026-09-15),

3. 12732370 - Method and system for processing personal database on block chain (2026-09-08),

4. 12730447 - Systems and methods for multi-object navigation in real environments (2026-09-08),

5. 12722313 - Finger assembly and robot hand comprising same (2026-09-01),

6. 12717776 - Method and system for selecting information provider for user query (2026-08-25),

7. 12705752 - Systems and methods for continuous adaptation of semantic image segmentation model (2026-08-11),

8. 12704857 - Method and system for controlling robot and facility (2026-08-11),

9. 12688607 - System and method for model-free, one-shot object pose estimation via coordinate regression (2026-07-21),

10. 12678939 - Method and system for controlling robot configured with plurality of modular robots, and building in which robot is disposed (2026-07-14),

11. 12675983 - Systems and methods for semantic image segmentation model learning new object classes (2026-07-07),

12. 12675521 - Composite code sparse autoencoders for approximate neighbor search (2026-07-07),

13. 12675517 - Model globalization for long document summarization (2026-07-07),

14. 12669822 - Distilling information for crowd-aware robot navigation (2026-06-30),

15. 12663793 - Method and system for remote control of robot, and building having elevators for robots (2026-06-23),

Company Overview

Naver Corporation, headquartered in Gyeonggi-do, South Korea, specializes in advanced technologies such as neural machine translation and multimodal processing. The company focuses on developing innovative solutions that enhance communication and information retrieval through voice requests and augmented reality. Naver's expertise extends to fine-tuning models and audio content processing, positioning it as a leader in the integration of artificial intelligence across various applications. Its commitment to research in reinforcement learning further underscores its role in shaping the future of digital interaction.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

355 Patents

#6 in Gyeonggi-do

#73 in South Korea

#2,578 in the World

Gyeonggi-do, South Korea

Naver Corporation

Forward Citations = 682

804 inventors:

Hyo Jung Kim (28 out of 44 patents)

Ji Han Kim (18 out of 18 patents)

Hyun Chul Lee (18 out of 19 patents)

4. Byoung Kwan Kim (16 out of 16 patents)

5. Julien Perez (15 out of 29 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Naver Corporation. Retrieved from https://idiyas.com/company/naver

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

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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