Jiang Wang is a prominent inventor based in Santa Clara, CA, known for his contributions to the field of object detection technologies. With a total of 2 patents, he has made significant strides in developing systems that enhance the capabilities of machine learning in image processing.

Latest Patents

Jiang Wang's latest patents include innovative systems and methods for object detection using image tiling. This patent describes a computing system that generates an image pyramid, allowing for the detection of objects at varying resolutions. The system performs operations such as tiling images and inputting them into a machine-learned object detection model, ultimately producing object detection data that can be mapped onto an image space.

Another notable patent is the noise-tolerant ensemble RCNN for semi-supervised object detection. This invention leverages an object detection training model to enhance the training of machine-learned models. It involves obtaining training data, processing it through the model, and refining the training based on the output, which describes the location of detected objects within images.

Career Highlights

Throughout his career, Jiang Wang has worked with leading technology companies, including Google Inc. and Baidu USA LLC. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge research in object detection.

Collaborations

Jiang has collaborated with notable colleagues such as Shengyang Dai and Jiyang Gao, further enriching his work in the field of machine learning and object detection.

Conclusion

Jiang Wang's innovative work in object detection technologies has positioned him as a key figure in the advancement of machine learning applications. His patents reflect a commitment to enhancing the capabilities of image processing systems, making significant contributions to the field.