Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing-Reference-Cited by-同舟云学术

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Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing

Published:2024-01-01 Issue: Volume: Page:762-766
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
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Author:

De Chanlatte Marissa Ramirez¹,Colella Phil²,Darrell Trevor¹,Carlson Alexandra Katherine³,De With Peter H.N.⁴,Deng Huayu⁵,Guan Shanyan⁵,Hays James⁶,Houben Tim⁴,Huisman Thomas⁷,Jaipuria Nikita⁸,Johansen Hans²,Khalid Shuja⁹,Krishnan Akshay⁶,Li Chuming¹⁰,Pisarenco Maxim⁷,Raj Amit¹¹,Rudzicz Frank¹²,Schoonbeek Tim J.⁴,Sridhar Sandhya⁶,Tseng Nathan⁸,Van Der Sommen Fons⁴,Wang Chen¹³,Wang Yunbo⁵,Wu Tong¹⁴,Yang Xiaokang⁵,Yao Jiawei¹⁵,Young Derek¹⁶,Zhang Xianling¹⁷

Affiliation:

1. UC Berkeley

2. Lawrence Berkeley National Lab

3. University of Michigan,Ann Arbor

4. Eindhoven University of Technology

5. Shanghai Jiao Tong University

6. Georgia Institute of Technology

7. ASML

8. Ford Motor Company

9. University of Toronto

10. University of Sydney

11. Google

12. Dalhousie University

13. University of Pennsylvania

14. Amazon

15. University of Washington

16. UC Davis

17. Ford Greenfield Labs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10495586/10495587/10495682.pdf?arnumber=10495682

Reference2 articles.

1. Training procedure for scanning electron microscope 3D surface reconstruction using unsupervised domain adaptation with simulated data

2. Depth estimation from a single SEM image using pixel-wise fine-tuning with multimodal data

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