Neil Yeung

Title: Neil Yeung and Interactive Image Segmentation

Introduction

Neil Yeung is an inventor based in Palo Alto, California. His work includes a patent on applying dual-attention vision transformers to interactive image segmentation. He is associated with Intel Corporation.

Latest Patents

Yeung is named on 1 patent: “Methods and Apparatus to Implement Dual-Attention Vision Transformers for Interactive Image Segmentation.” The patent describes methods and systems that divide an image’s input tensor into multiple tensor crops and create a dual-attention representation. This representation captures correlations between the crops and correlations among layers within a crop, supporting interactive image segmentation.

Career Highlights

Yeung’s listed patent reflects work at the intersection of computer vision and transformer-based machine learning. The disclosed approach uses processor circuitry, memory, and instructions to generate representations of image data for segmentation tasks.

Collaborations

The provided information identifies Anthony Rhodes and Ke Ding as Yeung’s coworkers. The patent description concerns a technical approach to image segmentation, though the supplied details do not specify the individual contributions of the named coworkers.

Conclusion

Neil Yeung’s patent documents an approach to interactive image segmentation that combines inter-attention across image crops with intra-attention within a crop, highlighting his association with computer vision innovation at Intel Corporation.