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pro vyhledávání: '"Zanjani, Farhad G."'
This paper presents Neural Mesh Fusion (NMF), an efficient approach for joint optimization of polygon mesh from multi-view image observations and unsupervised 3D planar-surface parsing of the scene. In contrast to implicit neural representations, NMF
Externí odkaz:
http://arxiv.org/abs/2402.16739
Autor:
Li, Shijie, Zanjani, Farhad G., Yahia, Haitam Ben, Asano, Yuki M., Gall, Juergen, Habibian, Amirhossein
Novel View Synthesis (NVS), which tries to produce a realistic image at the target view given source view images and their corresponding poses, is a fundamental problem in 3D Vision. As this task is heavily under-constrained, some recent work, like Z
Externí odkaz:
http://arxiv.org/abs/2312.08892
We introduce WiCluster, a new machine learning (ML) approach for passive indoor positioning using radio frequency (RF) channel state information (CSI). WiCluster can predict both a zone-level position and a precise 2D or 3D position, without using an
Externí odkaz:
http://arxiv.org/abs/2107.01002
Autor:
Xing, Jie, Li, Zheren, Wang, Biyuan, Qi, Yuji, Yu, Bingbin, Zanjani, Farhad G., Zheng, Aiwen, Duits, Remco, Tan, Tao
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 04 March 2020, pp.1-1
Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the breast cancer. The area and the shape information of a lesion is very h
Externí odkaz:
http://arxiv.org/abs/1905.01902
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