Mountain View, CA, United States of America

Lu Jiang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Lu Jiang in Image Manipulation

Introduction

Lu Jiang is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of image manipulation, particularly through his innovative methods that utilize neural networks. With a total of 2 patents, Jiang's work is paving the way for advancements in how images can be edited and generated.

Latest Patents

One of Lu Jiang's latest patents focuses on "Image manipulation by text instruction." This method describes a process for generating an output image from an input image and an input text instruction that specifies a location and a modification to be applied to the input image. The method employs a neural network that includes an image encoder, an image decoder, and an instruction attention network. The process begins with receiving the input image and text instruction, followed by extracting features from the input image using the image encoder. The instruction attention network generates spatial and modification features from the text instruction. These features are then combined to create an edited image feature, which is ultimately used to generate the output image through the image decoder.

Career Highlights

Lu Jiang is currently employed at Google Inc., where he continues to innovate and develop new technologies in image processing. His work is instrumental in enhancing the capabilities of image manipulation tools, making them more intuitive and user-friendly.

Collaborations

Lu Jiang collaborates with talented individuals such as Tianhao Zhang and Weilong Yang, contributing to a dynamic and innovative work environment.

Conclusion

Lu Jiang's contributions to image manipulation through his patents and work at Google Inc. highlight his role as a leading inventor in the field. His innovative methods are set to transform how we interact with images in the digital age.

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