Company Filing History:
Years Active: 2023-2025
Title: Haofeng Chen: Innovator in 2D and 3D Object Detection Technologies
Introduction
Haofeng Chen is a prominent inventor based in Stanford, California. He has made significant contributions to the field of object detection through his innovative methods. With a total of two patents to his name, Chen is recognized for his advancements in both 2D and 3D semantic keypoint detection.
Latest Patents
Chen's latest patents include a method for monocular 2D semantic keypoint detection and tracking. This method involves learning embedded descriptors of salient object keypoints detected in previous images according to a descriptor embedding space model. It also includes predicting salient object keypoints within a current image of a video stream using a shared image encoder backbone. Furthermore, the method tracks the inferred object by matching embedded descriptors of the predicted keypoints with those in previous images.
Another notable patent is focused on learning monocular 3D object detection from 2D semantic keypoint detection. This method detects semantic keypoints from monocular images of a video stream capturing a 3D object. It infers a 3D bounding box corresponding to the detected keypoints and scores the inferred bounding box to detect the 3D object accurately.
Career Highlights
Haofeng Chen is currently employed at Toyota Research Institute, Inc., where he continues to push the boundaries of technology in object detection. His work has garnered attention for its practical applications in various fields, including autonomous driving and robotics.
Collaborations
Chen collaborates with talented individuals such as Arjun Bhargava and Rares A Ambrus, contributing to a dynamic research environment that fosters innovation.
Conclusion
Haofeng Chen's contributions to the field of object detection through his patents and work at Toyota Research Institute, Inc. highlight his role as a leading inventor in this area. His innovative methods are paving the way for advancements in technology that can significantly impact various industries.