Company Filing History:
Years Active: 2018-2020
Title: Innovator Baoguang Shi: Pioneering Advances in Convolutional Neural Networks
Introduction: Baoguang Shi, an innovative inventor based in Shenzhen, China, is making significant contributions to the field of image recognition through his patented technologies. With a total of three patents to his name, he is at the forefront of developing methods that enhance the capabilities of convolutional neural networks (CNNs).
Latest Patents: His latest patents reflect his expertise in machine learning and image processing. One notable invention is the "Training Method and Apparatus for Convolutional Neural Network Model." This invention includes a comprehensive training methodology that leverages convolution operations, pooling techniques, and iterative parameter adjustments to produce a highly accurate CNN model capable of recognizing images of any size. By incorporating a horizontal pooling operation, this model can effectively identify the horizontal direction features of images, significantly expanding its application range in image recognition.
Another significant patent is the "Method and Apparatus for Recognizing Character String in Image." This invention utilizes a convolutional neural network algorithm to enhance character string recognition accuracy within images. By constructing a probability set based on pre-stored sample image blocks and maximizing recognition probabilities during training, this method improves the accuracy of character string recognition in various visual contexts.
Career Highlights: Baoguang Shi currently works for Tencent Technology (Shenzhen) Company Limited, where his expertise in computer technologies has propelled advancements in image analysis and recognition systems. His ongoing research and development efforts continue to influence the landscape of machine learning applications.
Collaborations: Throughout his career, Baoguang has collaborated with talented individuals in the field, including coworkers Xiang Bai and Cong Yao. Together, they contribute to innovative projects that push the boundaries of technology and enhance user experiences.
Conclusion: Baoguang Shi stands out as a prominent inventor whose work in convolutional neural networks is shaping the future of image recognition. With three patents showcasing his innovative techniques, he exemplifies the spirit of innovation that drives progress in the tech industry. As his career evolves, it will be exciting to see how his inventions continue to influence the field and contribute to technological advancements.