Sung Jin Hwang

Title: Innovations of Sung Jin Hwang

Introduction

Sung Jin Hwang is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of data compression and volumetric datasets. With a total of 8 patents to his name, Hwang continues to push the boundaries of technology.

Latest Patents

One of his latest patents is titled "Learned volumetric attribute compression using coordinate-based networks." This invention relates to systems and methods for compressing attributes of volumetric and hypervolumetric datasets. The system performs operations that include obtaining a reference dataset comprising attributes indexed by a domain of multidimensional coordinates. It subdivides the domain into blocks associated with attribute subsets and utilizes a local nonlinear operator to obtain an attribute representation based on a latent representation.

Another notable patent is "Data compression using conditional entropy models." This invention encompasses methods, systems, and apparatus for compressing and decompressing data. The method involves processing data using an encoder neural network to generate a latent representation, which is then processed by a hyper-encoder neural network to create an entropy model. The resulting representations are used to determine a compressed representation of the data.

Career Highlights

Sung Jin Hwang is currently employed at Google Inc., where he applies his expertise in data compression technologies. His work has been instrumental in advancing the capabilities of data processing and storage.

Collaborations

Hwang has collaborated with notable colleagues, including George Dan Toderici and Nicholas M Johnston. These partnerships have fostered innovation and contributed to the success of various projects.

Conclusion

Sung Jin Hwang is a distinguished inventor whose work in data compression and volumetric datasets has made a significant impact in the tech industry. His patents reflect a commitment to innovation and excellence in his field.