Renan Alfredo Rojas Gomez

Title: Innovations by Renan Alfredo Rojas Gomez

Introduction

Renan Alfredo Rojas Gomez is an accomplished inventor based in Champaign, IL (US). He has made significant contributions to the field of image processing through his innovative patent. His work focuses on utilizing machine learning techniques to enhance image quantization.

Latest Patents

Renan holds a patent for "Image quantization using machine learning." This patent discloses methods and systems for quantizing images by receiving a plurality of input images from a sensor, such as a camera. Each input image consists of multiple pixels, and through an image-to-image machine-learning model, each pixel is assigned a new pixel color. A mixer machine-learning model then converts these new pixel colors into a fixed number of colors, resulting in a series of quantized images corresponding to the input images. The process involves determining a loss function based on the alignment of each input image with its quantized counterpart, updating model parameters iteratively until convergence is achieved.

Career Highlights

Renan is currently employed at Robert Bosch GmbH, where he applies his expertise in machine learning and image processing. His innovative approach has positioned him as a valuable asset in his field.

Collaborations

Renan collaborates with talented individuals such as Mohammad Sadegh Norouzzadeh and Anh Nguyen. Their combined efforts contribute to advancing technology in image processing and machine learning.

Conclusion

Renan Alfredo Rojas Gomez is a notable inventor whose work in image quantization using machine learning showcases his innovative spirit and technical expertise. His contributions are paving the way for advancements in image processing technology.