San Jose, CA, United States of America

Kwonjoon Lee

This inventor holds 4 USPTO granted patents and 12 published patent applications. Top assignees: Honda Motor Ltd., Ltd., Brown University, Honda Motor Co., Ltd.. Active years: 2025-2026.

USPTO Granted Patents = 4 

% Patents Active = 25.0

Average Co-Inventor Count = 4.3

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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4 patents (USPTO):Explore Patents

Title: Kwonjoon Lee: Innovator in Video-Language Models

Introduction

Kwonjoon Lee is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of video-language models, particularly in the area of action anticipation. His innovative work has garnered attention for its potential applications in various technologies.

Latest Patents

Kwonjoon Lee holds a patent titled "Plausible action anticipation using large video-language models." This patent describes systems and methods for enhancing large video-language models (LVLMs) by incorporating a plausible action anticipation framework. The framework improves the LVLM by considering the plausibility of action sequences. Two objective functions are derived to address counterfactual-based plausible action sequence learning loss and long-horizon action repetition loss. These functions are utilized to train the LVLM, enabling it to generate plausible anticipated action sequences. The augmented LVLM can produce sequences where each action is temporally and spatially factual in relation to the others.

Career Highlights

Kwonjoon Lee is currently employed at Honda Motor Co., Ltd., where he continues to develop innovative technologies. His work focuses on integrating advanced models into practical applications, enhancing the capabilities of video-language processing.

Collaborations

Kwonjoon collaborates with talented individuals such as Himangi Mittal and Nakul Agarwal. Their combined expertise contributes to the advancement of their projects and the overall success of their initiatives.

Conclusion

Kwonjoon Lee's contributions to the field of video-language models exemplify the impact of innovative thinking in technology. His work not only advances academic knowledge but also has practical implications for future applications.

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