Yin Ching Jessica Yung

Title: Innovations of Yin Ching Jessica Yung

Introduction

Yin Ching Jessica Yung is a prominent inventor based in Vienna, Austria. She has made significant contributions to the field of computer vision through her innovative patents. With a total of 2 patents, her work focuses on advanced neural network methodologies.

Latest Patents

Jessica Yung's latest patents include "Multi-layer perceptron-based computer vision neural networks" and "Transfer learning between different computer vision tasks." The first patent outlines methods, systems, and apparatus for processing images using mixer neural networks. This involves obtaining images, determining image patches, and processing these patches to generate input sequences for a neural network. The second patent describes a method for training a neural network to perform downstream computer vision tasks by pre-training an initial neural network that shares layers with the target network.

Career Highlights

Jessica Yung is currently employed at Google Inc., where she continues to push the boundaries of technology in her field. Her work has garnered attention for its innovative approach to neural networks and image processing.

Collaborations

Some of her notable coworkers include Xiaohua Zhai and Alexander Kolesnikov, who contribute to her research and development efforts.

Conclusion

Yin Ching Jessica Yung is a trailblazer in the realm of computer vision, with her patents reflecting her expertise and innovative spirit. Her contributions are paving the way for future advancements in technology.