Dong Nie

Title: The Innovative Contributions of Dong Nie

Introduction

Dong Nie is a prominent inventor based in Bellevue, WA, known for his significant contributions to the field of image processing and point cloud segmentation. With a total of two patents to his name, Nie has developed innovative technologies that enhance the capabilities of semantic segmentation in various applications.

Latest Patents

One of Dong Nie's latest patents is titled "Pyramid architecture for multi-scale processing in point cloud segmentation." This application describes a cross-scale point cloud segmentation network architecture designed for semantic segmentation of point clouds. The architecture includes an encoding path with multiple sequentially connected encoding nodes, followed by a decoding path with corresponding decoding nodes. This design allows for effective data links that connect encoding and decoding nodes at the same level of feature resolution.

Another notable patent is "Learning model architecture for image data semantic segmentation." This learning model features a hierarchy of convolutional layers that perform convolutions on image features. Each layer processes image features at varying resolutions, ultimately fusing large-scale and small-scale features. The bottommost convolutional layer passes the fused features to an attention mapping module, which detects non-local dependencies and interactions between features without neglecting local interactions.

Career Highlights

Dong Nie has worked with notable companies, including Alibaba Co., Ltd. and Alibaba Group Holding Limited. His experience in these organizations has contributed to his expertise in developing advanced technologies in image processing and machine learning.

Collaborations

Throughout his career, Dong Nie has collaborated with talented individuals such as Xiaofeng Ren and Jia Xue. These collaborations have further enriched his work and led to innovative advancements in his field.

Conclusion

Dong Nie's contributions to the fields of point cloud segmentation and image data processing demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving semantic segmentation methodologies.