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4,505 papers
Gaussian Splatting with Reflections Guided by What is Seen
Yiming Liang, Tianyu Xiao, Hiroshi Ishikawa
While novel view synthesis methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have shown impressive performance on common scenes, they often struggle with…
Generalized Ridge Refitting for the Lasso and Prediction Improvement Bounds
Guo Liu
We study a class of Lasso based estimators obtained by applying a quadratic correction on the Lasso equicorrelation set. The penalty matrix determines both the magnitude and geomet…
H I Absorbers as Beacons of Hidden Structure at : Multi-Component, Metal-Rich Absorption System near a Protocluster
Kentaro Koretomo, Nobunari Kashikawa, Toru Misawa +12
H I gas traces the large-scale structure and provides the primary fuel for star formation. High- protoclusters are ideal laboratories to study how H I gas is accreted and consum…
Experimental Verification on LoS-MIMO Transmission in 300-GHz Band
Kazuhiko Tamesue, Seiji Nishi, Kunihisa Jitsuno +3
In this study, we conducted Line-of-Sight (LoS) 2x2 multiple-input multiple-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) transmission experiments in the 300-GHz b…
A Machine Learning-based Non-precipitating Clouds Estimation for THz Dual-Frequency Radar
Kazuhiko Tamesue, Zheng Wen, Shotaro Yamaguchi +6
Accurate measurement of non-precipitable clouds is important for early prediction of heavy rainfall disasters caused by extreme weather events. However, microwave cloud radar canno…
Learning to Predict Contact Force Distributions from Vision Leveraging Object Geometry Priors
Ryo Hanai, Yukiyasu Domaea, Ixchel G. Ramirez-Alpizar +3
Based on vision and prior experience, humans can make rough physical predictions and adjust their manipulation strategies. This paper aims to endow robots with a similar ability. T…