Can Wen

Title: Innovations by Can Wen in Object Detection Technology

Introduction

Can Wen is an innovative inventor based in Beijing, China, known for his contributions to the field of image processing and object detection technology. With a unique approach to identifying objects within images, he holds a patent that underscores the advancements in neural network applications.

Latest Patents

Can Wen's notable patent is titled "Method and device for detecting an object in an image." This patent describes a sophisticated method for detecting objects in images by utilizing a neural network model comprised of multiple feature extracting networks. The method involves obtaining an image to be detected, generating a variety of feature maps using the trained networks, and ultimately producing an object detection result. His pioneering work reflects the growing importance of artificial intelligence in various applications.

Career Highlights

Can Wen is affiliated with Beijing Baidu Netcom Science Technology Co., Ltd., where he leverages his expertise in technology to further advancements in object detection. His dedication to research and development has positioned him as a significant figure in the tech industry.

Collaborations

Throughout his career, Can Wen has collaborated with talented coworkers such as Guanghua Yu and Qingqing Dang. These collaborations have fostered a rich environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Can Wen's contributions to the field of object detection through his innovative patent exemplify his commitment to advancing technology. His work at Beijing Baidu Netcom Science Technology Co., Ltd. and his collaboration with esteemed colleagues highlight the importance of teamwork in achieving groundbreaking innovations in imagery analysis.