Success Stories: A Remarkable NIW Approval for a Computer Vision Scientist from China, Secured in Just 2 Months Through Our Dedicated Efforts
Client’s Testimonial:
“Thanks for all the efforts and I would definitely refer WeGreened to my friends.”
On February 11th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Research Scientist in the field of Computer Vision (Approval Notice).
General Field: Computer Vision
Position at the Time of Case Filing: Research Scientist
Country of Origin: China
State of Residence at the Time of Filing: California
Approval Notice Date: February 11th, 2025
Processing Time: 2 months (Premium Processing Requested)
Case Summary:
At our firm, we prioritize I-140 clients and employ a strategic approach to maximize their chances of approval. By carefully analyzing each case, we highlight its unique strengths to build up a persuasive petition.
When a computer vision research scientist from China approached the North America Immigration Law Group for assistance with an NIW (National Interest Waiver) petition, we conducted a thorough evaluation of his research. We determined that his work holds significant value, particularly for the U.S. film and gaming industry, a key economic sector.
We emphasized his Ph.D. in computer science and its relevance to advancing this industry. Our petition included a comprehensive assessment of his education, expertise, and accomplishments, along with a detailed plan outlining his proposed contributions, progress toward his goals, and the interests of key stakeholders.
Key highlights of his petition included:
- At the time of filing, he had published 2 peer-reviewed journal articles (1 as the first author), 3 first-authored peer-reviewed conference papers, 1 first-authored technical report, and 2 first-authored preprints. These were featured in at least 3 prestigious peer-reviewed journals and conferences, reinforcing his authority in the field.
- His research has been recognized by leading experts and has inspired fellow researchers in computer vision. His work has been cited 171 times, demonstrating its influence in the field.
- His proposed research focuses on developing cutting-edge computer vision and machine learning techniques for high-fidelity digital human reconstruction and generation. These advancements have significant applications in metaverse telepresence, virtual human animation in film and gaming, virtual try-on experiences in retail, and sports motion analysis, areas of clear substantial merit and national importance.
- Specifically, he will develop few-shot learning methods for photorealistic 3D head avatars from minimal data, extend 3D avatar reconstruction techniques to full-body with high fidelity for enhanced telepresence in the Metaverse, and publish original computer vision research in peer-reviewed journals and conferences.
- He has also completed 21 peer reviews, a distinction reserved for experts with recognized authority in their discipline. This reinforces his expertise and ability to advance research in computer vision.

