This inventor holds 1 USPTO granted patent. Top assignee: Honda Motor Co., Ltd.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Himangi Mittal: Innovator in Video-Language Models
Introduction
Himangi Mittal is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of large video-language models. His innovative work focuses on enhancing the capabilities of these models to better anticipate actions in video sequences.
Latest Patents
Himangi Mittal holds a patent for "Plausible action anticipation using large video-language models." This patent describes systems and methods for augmenting large video-language models (LVLMs) by incorporating a plausible action anticipation framework. The framework enhances 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. He has 1 patent to his name.
Career Highlights
Himangi Mittal is currently employed at Honda Motor Co., Ltd., where he applies his expertise in artificial intelligence and machine learning. His work at Honda focuses on integrating advanced technologies into automotive systems, enhancing user experience and safety.
Collaborations
Himangi has collaborated with talented individuals such as Nakul Agarwal and Shao-Yuan Lo. These collaborations have contributed to the advancement of innovative solutions in the field of video-language models.
Conclusion
Himangi Mittal is a pioneering inventor whose work in video-language models is shaping the future of artificial intelligence. His contributions are paving the way for more advanced and plausible action anticipation in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
