OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu | Summary: In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution. However, the contexts gathered by the previous voxel-based methods decrease when handling sparse point clouds. To address this problem, we propose […]


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Pressure-induced ideal Weyl semimetal state in the layered antiferromagnet EuCd2As2

Kavli Affiliate: Li Xin Li | First 5 Authors: Zhenhai Yu1, Xuejiao Chen, Wei Xia, Ningning Wang, Xiaodong Lv | Summary: The rich nontrivial topological phases rooted in the interplay between magnetism and topology in the layered antiferromagnet EuCd2As2 have captured vast attention, especially the ideal Weyl semimetal state realized in the spin-polarized ferromagnetic (FM) […]


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Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval

Kavli Affiliate: Wei Gao | First 5 Authors: Xianghao Zang, Ge Li, Wei Gao, , | Summary: In video surveillance, pedestrian retrieval (also called person re-identification) is a critical task. This task aims to retrieve the pedestrian of interest from non-overlapping cameras. Recently, transformer-based models have achieved significant progress for this task. However, these models […]


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Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Dominic Beck, Ari Cukierman, W. L. Kimmy Wu, , | Summary: We investigate simulation-based bandpower covariance matrices commonly used in cosmological parameter inferences such as the estimation of the tensor-to-scalar ratio $r$. We find that upper limits on $r$ can be biased low by tens […]


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Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Dominic Beck, Ari Cukierman, W. L. Kimmy Wu, , | Summary: We investigate simulation-based bandpower covariance matrices commonly used in cosmological parameter inferences such as the estimation of the tensor-to-scalar ratio~$r$. We find that upper limits on $r$ can be biased low. The underestimation of […]


Continue.. Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices