This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Nec Corporation. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Innovations of Yogesh Balaji in Video Processing Technologies
Introduction
Yogesh Balaji is an accomplished inventor based in Hyattsville, MD (US). He has made significant contributions to the field of video processing through his innovative patent. His work focuses on enhancing the capabilities of generative adversarial networks, particularly in the context of video generation.
Latest Patents
Yogesh Balaji holds a patent for a system titled "Multi-scale text filter conditioned generative adversarial networks." This invention provides systems and methods for processing video. The method involves receiving a text-based description of active scenes and representing it as a word embedding matrix. It utilizes a text encoder implemented by a neural network to output both frame-level textual representation and video-level representation of the word embedding matrix. Furthermore, the method generates frame-by-frame video based on these representations and noise vectors. A convolutional filter of a video discriminator is also generated to classify the frames and video as true or false. The training of a conditional video generator, which includes the text encoder, video discriminator, and shared generator, is conducted to achieve convergence in a generative adversarial network.
Career Highlights
Yogesh Balaji is currently employed at NEC Corporation, where he continues to push the boundaries of technology in video processing. His innovative approach and technical expertise have positioned him as a key player in his field.
Collaborations
Yogesh has collaborated with notable colleagues, including Bing Bai and Renqiang Min, contributing to various projects that enhance the capabilities of video processing technologies.
Conclusion
Yogesh Balaji's contributions to the field of video processing through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the development of generative adversarial networks and video processing systems.