Company Filing History:
Years Active: 2021-2022
Title: Peilei Dong: Innovator in Cross-Media Retrieval and Pedestrian Detection
Introduction
Peilei Dong is a notable inventor based in Shenzhen, China. He has made significant contributions to the fields of cross-media retrieval and pedestrian detection through his innovative patents. With a total of two patents to his name, Dong's work showcases his expertise in utilizing advanced technologies to solve complex problems.
Latest Patents
Peilei Dong's latest patents include a "Cross-media retrieval method based on deep semantic space." This method involves a feature generation stage and a semantic space learning stage. In the feature generation stage, a CNN visual feature vector and an LSTM language description vector of an image are generated by simulating a person's perception process for the image. Additionally, topic information about a text is explored using an LDA topic model, which helps in extracting an LDA text topic vector. The semantic space learning phase involves training a four-layer Multi-Sensory Fusion Deep Neural Network for images and a three-layer text semantic network for texts. Ultimately, this method significantly enhances the performance of cross-media retrieval.
Another patent is the "Method for detecting pedestrians in image by using Gaussian penalty." This method improves pedestrian detection performance, particularly for sheltered pedestrians in an image. It involves acquiring a training data set, a test data set, and pedestrian labels. The training data set is used to train a detection model, which screens initial pedestrian boundary boxes using a Gaussian penalty. This process helps in removing repeated boundary boxes of a single pedestrian while retaining those of sheltered pedestrians, thus achieving effective pedestrian detection.
Career Highlights
Peilei Dong is associated with Peking University, where he continues to contribute to research and innovation. His work has garnered attention for its practical applications in technology and safety.
Collaborations
Peilei Dong collaborates with notable colleagues, including Wenmin Wang and Mengdi Fan, who contribute to his research endeavors.
Conclusion
Peilei Dong's innovative patents in cross-media retrieval and pedestrian detection highlight his significant contributions to technology. His work not only advances academic research but also has practical implications for various industries.
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