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Title: Innovations of Xiangru Huang in Object Detection
Introduction
Xiangru Huang is an accomplished inventor based in Quincy, MA (US). He has made significant contributions to the field of object detection through his innovative methods. His work focuses on representation learning from unlabeled point cloud sequences, which has important applications in various industries.
Latest Patents
Xiangru Huang holds a patent for a method titled "Representation learning for object detection from unlabeled point cloud sequences." This patent describes a technique that includes detecting moving object traces from temporally-ordered, unlabeled point cloud sequences. The method also involves extracting a set of moving objects based on the detected traces. Furthermore, it includes classifying these moving objects and estimating 3D bounding boxes for them based on the classification results.
Career Highlights
Throughout his career, Xiangru Huang has worked with notable organizations, including the Toyota Research Institute, Inc. and Toyota Jidosha Kabushiki Kaisha. His experience in these companies has allowed him to refine his skills and contribute to cutting-edge research in object detection.
Collaborations
Xiangru Huang has collaborated with talented individuals such as Yue Wang and Vitor Guizilini. These collaborations have further enhanced his research and development efforts in the field.
Conclusion
Xiangru Huang's innovative work in representation learning for object detection showcases his expertise and dedication to advancing technology. His contributions are valuable to the ongoing development of object detection methods.