Phuc Xuan Nguyen

Title: Phuc Xuan Nguyen: Innovator in Action Localization Technology

Introduction

Phuc Xuan Nguyen is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of action localization technology, particularly through his work at Google Inc. His innovative approaches have led to the development of advanced machine-learning models that enhance the understanding of human actions in video content.

Latest Patents

Phuc Xuan Nguyen holds two patents, with his latest focusing on "Weakly-supervised action localization by sparse temporal pooling network." This patent describes systems and methods for a weakly supervised action localization model. The model can localize and classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. It predicts temporal intervals of human actions based on video-level class labels without requiring temporal localization information. The model recognizes actions and identifies a sparse set of keyframes associated with those actions through adaptive temporal pooling of video frames. The loss function of the model combines classification error and sparsity of frame selection. Following action recognition, temporal proposals for action can be extracted using temporal class activation mappings, allowing for the estimation of final time intervals corresponding to target actions.

Career Highlights

Phuc Xuan Nguyen's career at Google Inc. has been marked by his dedication to advancing video analysis technologies. His work has not only contributed to the company's innovative projects but has also positioned him as a leader in the field of machine learning and action recognition.

Collaborations

Phuc has collaborated with talented coworkers, including Ting Liu and Gautam Prasad, who have contributed to his research and development efforts.

Conclusion

Phuc Xuan Nguyen's contributions to action localization technology exemplify the impact of innovative thinking in the realm of machine learning. His patents reflect a commitment to enhancing the understanding of human actions in video content, paving the way for future advancements in this exciting field.