Zobrazeno 1 - 10
of 648
pro vyhledávání: '"Matsuoka, Masashi"'
Estimating surface normals from 3D point clouds is critical for various applications, including surface reconstruction and rendering. While existing methods for normal estimation perform well in regions where normals change slowly, they tend to fail
Externí odkaz:
http://arxiv.org/abs/2308.02237
Autor:
Xiu, Haoyi, Liu, Xin, Wang, Weimin, Kim, Kyoung-Sook, Shinohara, Takayuki, Chang, Qiong, Matsuoka, Masashi
3D point clouds are discrete samples of continuous surfaces which can be used for various applications. However, the lack of true connectivity information, i.e., edge information, makes point cloud recognition challenging. Recent edge-aware methods i
Externí odkaz:
http://arxiv.org/abs/2209.09483
Autor:
Xiu, Haoyi, Liu, Xin, Wang, Weimin, Kim, Kyoung-Sook, Shinohara, Takayuki, Chang, Qiong, Matsuoka, Masashi
Modeling the local surface geometry is challenging in 3D point cloud understanding due to the lack of connectivity information. Most prior works model local geometry using various convolution operations. We observe that the convolution can be equival
Externí odkaz:
http://arxiv.org/abs/2207.01181
Autor:
Xiu, Haoyi, Liu, Xin, Wang, Weimin, Kim, Kyoung-Sook, Shinohara, Takayuki, Chang, Qiong, Matsuoka, Masashi
Learning point clouds is challenging due to the lack of connectivity information, i.e., edges. Although existing edge-aware methods can improve the performance by modeling edges, how edges contribute to the improvement is unclear. In this study, we p
Externí odkaz:
http://arxiv.org/abs/2207.01174
Autor:
Xiu, Haoyi, Liu, Xin, Wang, Weimin, Kim, Kyoung-Sook, Shinohara, Takayuki, Chang, Qiong, Matsuoka, Masashi
We present a simple but effective attention named the unary-pairwise attention (UPA) for modeling the relationship between 3D point clouds. Our idea is motivated by the analysis that the standard self-attention (SA) that operates globally tends to pr
Externí odkaz:
http://arxiv.org/abs/2203.00172
Autor:
Adriano, Bruno, Yokoya, Naoto, Xia, Junshi, Miura, Hiroyuki, Liu, Wen, Matsuoka, Masashi, Koshimura, Shunichi
Earth observation technologies, such as optical imaging and synthetic aperture radar (SAR), provide excellent means to monitor ever-growing urban environments continuously. Notably, in the case of large-scale disasters (e.g., tsunamis and earthquakes
Externí odkaz:
http://arxiv.org/abs/2009.06200
Autor:
Xiu, Haoyi, Liu, Xin, Wang, Weimin, Kim, Kyoung-Sook, Shinohara, Takayuki, Chang, Qiong, Matsuoka, Masashi
Publikováno v:
In Neurocomputing 28 November 2023 559
Autor:
Xiu, Haoyi, Liu, Xin, Wang, Weimin, Kim, Kyoung-Sook, Shinohara, Takayuki, Chang, Qiong, Matsuoka, Masashi
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation February 2023 116
Autor:
Enomoto, Kenji, Sakurada, Ken, Wang, Weimin, Fukui, Hiroshi, Matsuoka, Masashi, Nakamura, Ryosuke, Kawaguchi, Nobuo
In this paper, we propose a method for cloud removal from visible light RGB satellite images by extending the conditional Generative Adversarial Networks (cGANs) from RGB images to multispectral images. Satellite images have been widely utilized for
Externí odkaz:
http://arxiv.org/abs/1710.04835
Publikováno v:
In Automation in Construction March 2022 135