Yan Hao

Title: Yan Hao - Innovator in Object Detection Technology

Introduction

Yan Hao is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of object detection technology, holding a total of 6 patents. His innovative work focuses on enhancing the accuracy and efficiency of detecting objects in video frames.

Latest Patents

One of Yan Hao's latest patents is titled "Detecting objects in video frames using similarity detectors." This invention includes an apparatus designed to receive multiple video frames from a camera. The apparatus features a first still image object detector that processes the first frame to calculate localization and confidence information for potential object patches. Additionally, a second still image object detector analyzes an adjacent frame to perform similar calculations. A similarity detector is trained to identify paired patches between the two frames, enhancing the prediction results for object detection.

Another notable patent is "Bidirectional pairing architecture for object detection in video." This invention discusses techniques for training and implementing a bidirectional pairing architecture. It involves generating enhanced feature maps for each frame of a video sequence by processing the frames in both forward and reverse directions. The object detection information is then determined using these enhanced feature maps.

Career Highlights

Yan Hao has worked with several prestigious companies, including Intel Corporation and Saic General Motors Corporation Limited. His experience in these organizations has contributed to his expertise in the field of object detection and video analysis.

Collaborations

Throughout his career, Yan has collaborated with talented individuals such as Kun Yu and Lu Li, who is a woman. These collaborations have further enriched his work and innovations in the technology sector.

Conclusion

Yan Hao is a distinguished inventor whose work in object detection technology has paved the way for advancements in video analysis. His patents reflect a commitment to innovation and excellence in the field.