Xuan Hien Pham

Title: The Innovative Contributions of Xuan Hien Pham

Introduction

Xuan Hien Pham is a notable inventor based in Fontenay-aux-Roses, France. He has made significant contributions to the field of technology, particularly in motion refinement using deep neural networks. His work has implications for various applications, enhancing the efficiency and accuracy of motion prediction.

Latest Patents

Xuan Hien Pham holds a patent titled "Motion refinement using a deep neural network." This patent describes a method for refining the initial motion field in bi-prediction blocks using a deep neural network (DNN). The process involves integer rounding of the initial motion field to create initial prediction blocks. The DNN generates motion refinement information, which is scaled and added to the sub-pel residual motion from the initial motion field, resulting in a refined motion field. This refinement can be performed at both the encoder and decoder, eliminating the need to signal the motion refinement information.

Career Highlights

Xuan Hien Pham is currently associated with Interdigital Madison Patent Holdings, SAS. His work at this company has allowed him to explore innovative solutions in the realm of motion prediction and refinement. With a focus on enhancing the accuracy of motion fields, he has contributed to advancements in technology that are crucial for various applications.

Collaborations

Xuan Hien Pham has collaborated with notable colleagues such as Franck Galpin and Philippe Bordes. These collaborations have fostered an environment of innovation and creativity, leading to significant advancements in their respective fields.

Conclusion

Xuan Hien Pham's contributions to the field of motion refinement through deep neural networks exemplify the impact of innovative thinking in technology. His patent and work at Interdigital Madison Patent Holdings, SAS, highlight his commitment to advancing the industry. His collaborations further enhance the potential for future innovations.