Zobrazeno 1 - 10
of 2 346
pro vyhledávání: '"GU Chao"'
To accurately understand engineering drawings, it is essential to establish the correspondence between images and their description tables within the drawings. Existing document understanding methods predominantly focus on text as the main modality,
Externí odkaz:
http://arxiv.org/abs/2409.00909
This paper proposes a bidirectional multibeam hybrid transmitarray (HTA) employing a transmission polarization-rotating metasurface (TPRM). A novel configuration is introduced to facilitate bidirectional beam scanning by combining the transmitarray (
Externí odkaz:
http://arxiv.org/abs/2408.01078
Autor:
Ruth, David, Slifer, Karl, Chen, Jian-Ping, Carlson, Carl E., Hagelstein, Franziska, Pascalutsa, Vladimir, Deur, Alexandre, Kuhn, Sebastian, Ripani, Marco, Zheng, Xiaochao, Zielinski, Ryan, Gu, Chao
The 1S hyperfine splitting in hydrogen is measured to an impressive ppt precision and will soon be measured to ppm precision in muonic hydrogen. The latter measurement will rely on theoretical predictions, which are limited by knowledge of the proton
Externí odkaz:
http://arxiv.org/abs/2406.18738
The proliferation of large language models (LLMs) in generating content raises concerns about text copyright. Watermarking methods, particularly logit-based approaches, embed imperceptible identifiers into text to address these challenges. However, t
Externí odkaz:
http://arxiv.org/abs/2403.10020
Indoor scene modification has emerged as a prominent area within computer vision, particularly for its applications in Augmented Reality (AR) and Virtual Reality (VR). Traditional methods often rely on pre-existing object databases and predetermined
Externí odkaz:
http://arxiv.org/abs/2311.16501
Image restoration is a low-level vision task, most CNN methods are designed as a black box, lacking transparency and internal aesthetics. Although some methods combining traditional optimization algorithms with DNNs have been proposed, they all have
Externí odkaz:
http://arxiv.org/abs/2309.01377
Autor:
GU, CHAO (AUTHOR), MENZIO, GUIDO (AUTHOR) gm1310@nyu.edu, WRIGHT, RANDALL (AUTHOR), ZHU, YU (AUTHOR)
Publikováno v:
Journal of Money, Credit & Banking (John Wiley & Sons, Inc.). Sep2024, Vol. 56 Issue 6, p1291-1320. 30p.
In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image. Unlike traditional methods that require two steps for shadow detection and then shadow removal, the SpA-Former unifies these steps into one,
Externí odkaz:
http://arxiv.org/abs/2206.10910
Publikováno v:
In Computers and Education: Artificial Intelligence December 2024 7
Publikováno v:
In Surfaces and Interfaces December 2024 55