Ting-Chun Wang

Title: Innovations of Inventor Ting-Chun Wang

Introduction

Ting-Chun Wang is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of neural networks and image processing, holding a total of 12 patents. His work focuses on synthesizing images and enhancing image quality through advanced techniques.

Latest Patents

One of his latest patents is titled "Video synthesis using one or more neural networks." This patent presents apparatuses, systems, and techniques to synthesize consistent images or video. In at least one embodiment, one or more neural networks are utilized to generate second images based on point cloud representations of first images. Another notable patent is "Image in-painting for irregular holes using partial convolutions." This patent discloses a neural network architecture for performing image in-painting using partial convolution operations. The architecture processes an image and a corresponding mask that identifies holes in the image, utilizing partial convolution operations to zero out coefficients of the convolution kernel corresponding to invalid pixel data for the holes. The mask is updated after each partial convolution operation in the encoder section of the neural network.

Career Highlights

Ting-Chun Wang has worked with leading companies in the tech industry, including Nvidia Corporation. His experience at Nvidia has allowed him to collaborate on cutting-edge projects that push the boundaries of technology and innovation.

Collaborations

He has collaborated with notable coworkers such as Ming-Yu Liu and Arun Mohanray Mallya, contributing to various advancements in the field of neural networks and image processing.

Conclusion

Ting-Chun Wang's innovative work in neural networks and image processing has led to significant advancements in technology. His contributions continue to influence the industry and inspire future innovations.