This inventor holds 2 USPTO granted patents. Top assignee: National Tsing Hua University. Active years: 2020-2021.
Company Filing History:
Years Active: 2020-2021
Title: Innovations by Inventor Hung-Jin Lin
Introduction
Hung-Jin Lin is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of image processing and deep learning. With a total of 2 patents, his work focuses on advanced methods for image completion and structural estimation in indoor scenes.
Latest Patents
One of Hung-Jin Lin's latest patents is a method of image completion. This method involves constructing an image repair model and a series of conditional generative adversarial networks tailored to various object types. The process includes inputting training images for corruption feature training and conducting image repairs to generate multiple repaired images. A probability analyzer is then used to assess the quality of these images, ultimately selecting the most accomplished one for output.
Another significant patent is the indoor scene structural estimation system based on a deep learning network. This system comprises a 2D encoder and several decoders that work together to analyze and reconstruct indoor scenes. The 2D encoder processes input images, while the decoders generate layout images and corner layouts, facilitating a comprehensive understanding of indoor environments.
Career Highlights
Hung-Jin Lin is affiliated with Tsinghua University, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in various fields, particularly in enhancing image processing techniques.
Collaborations
Some of his notable coworkers include Shang-Hong Lai and Ching-Wei Tseng. Their collaborative efforts contribute to the ongoing research and development in the areas of image processing and deep learning.
Conclusion
Hung-Jin Lin's contributions to the fields of image completion and structural estimation highlight his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving image processing methods, making a significant impact in the industry.