Qiuyu Chen

Title: Innovations of Qiuyu Chen in Color Attribute Prediction

Introduction

Qiuyu Chen is an accomplished inventor based in Charlotte, NC (US). He has made significant contributions to the field of color prediction through his innovative patent. His work focuses on enhancing the accuracy of color attribute prediction in images, which has applications in various industries.

Latest Patents

Qiuyu Chen holds a patent titled "Decompositional learning for color attribute prediction." This patent describes a model designed for large-scale color prediction of objects identified in images. The model comprises an object detection network, an attention network, and a color classification network. The object detection network generates object features for an object in an image and may include a convolutional neural network (CNN), region proposal network, or a ResNet. The attention network generates an attention vector for the object based on the object features, utilizing a query vector and a plurality of key and value vectors corresponding to various colors. Finally, the color classification network generates a color attribute vector based on the attention vector, indicating the probability of the object including each of the colors.

Career Highlights

Qiuyu Chen is currently employed at Adobe, Inc., where he continues to develop innovative solutions in image processing and color prediction. His work has garnered attention for its potential to improve the accuracy of color representation in digital media.

Collaborations

Some of Qiuyu Chen's notable coworkers include Quan Anh Tran and Kushal Kafle, who contribute to the collaborative environment at Adobe, Inc. Their combined expertise fosters innovation and drives advancements in technology.

Conclusion

Qiuyu Chen's contributions to color attribute prediction exemplify the impact of innovative thinking in technology. His patent and work at Adobe, Inc. highlight the importance of advancements in image processing.