Miriam Bellver Bueno

Title: Innovations by Miriam Bellver Bueno

Introduction

Miriam Bellver Bueno is a notable inventor based in Barcelona, Spain. She has made significant contributions to the field of technology, particularly in image processing and machine learning. With a total of three patents to her name, her work has garnered attention for its innovative approaches to solving complex problems.

Latest Patents

Miriam's latest patents include "Reducing false positive detections based on classification and segmentation cues." This invention involves determining a first region within image data that corresponds to a user and confirming a classifier associated with that user. The process identifies various pixels within the image data to enhance detection accuracy. Another notable patent is for a "Virtual shoe try-on" method. This method utilizes a machine learning model to extract features from an image of a foot, predicting different aspects of the foot and generating a two-dimensional model of a shoe that can be superimposed onto the image.

Career Highlights

Miriam currently works at Amazon Technologies, Inc., where she applies her expertise in machine learning and image processing. Her innovative work has positioned her as a key contributor to advancements in technology within her organization.

Collaborations

Miriam collaborates with talented individuals such as Sunil Sharadchandra Hadap and Yuelong Li. These partnerships enhance her research and development efforts, leading to groundbreaking innovations.

Conclusion

Miriam Bellver Bueno's contributions to technology through her patents reflect her dedication to innovation and problem-solving. Her work continues to influence the fields of image processing and machine learning, showcasing the impact of her inventions.