Company Filing History:
Years Active: 2021
Title: Hengshuang Zhao: Innovator in Scene Parsing Technology
Introduction
Hengshuang Zhao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of scene parsing, which is essential for various applications in computer vision. His innovative approach has led to the development of a unique method that enhances the understanding of images through advanced algorithms.
Latest Patents
Hengshuang Zhao holds a patent for a "Method and system for scene parsing and storage medium." This method involves performing a convolution operation on a to-be-parsed image using a deep neural network to obtain a first feature map. The first feature map includes features of at least one pixel in the image. Following this, a pooling operation is performed on the first feature map to obtain at least one second feature map, which is smaller in size than the first feature map. The scene parsing is then conducted based on these feature maps to derive a scene parsing result, which includes the category of at least one pixel in the image. This innovative system is supported by a non-transitory computer-readable storage medium, facilitating the realization of the method.
Career Highlights
Hengshuang Zhao is currently employed at Beijing Sensetime Technology Development Co., Ltd. His work at this leading technology company has allowed him to focus on cutting-edge research and development in artificial intelligence and computer vision. His contributions have been instrumental in advancing the capabilities of scene parsing technologies.
Collaborations
Hengshuang Zhao collaborates with notable professionals in his field, including his coworker Jianping Shi. Their combined expertise fosters innovation and drives the development of new technologies in scene parsing.
Conclusion
Hengshuang Zhao's work in scene parsing exemplifies the intersection of technology and innovation. His patent and contributions to Beijing Sensetime Technology Development Co., Ltd. highlight his role as a key player in advancing computer vision technologies.
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