Kavli Affiliate: Yi Zhou | First 5 Authors: Zhaoguang Yi, Zhou Chen, Yunjie Yang, , | Summary: Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are directly extended to the 3D […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Miguel García-Bravo, Toni Ikonen, Zheng Zhu, , | Summary: In complete metric measure spaces equipped with a doubling measure and supporting a weak Poincar’e inequality, we investigate when a given Banach-valued Sobolev function defined on a subset satisfying a measure-density condition is the restriction of a Banach-valued […]
Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Jong Yeon Lee, Wenjie Ji, Zhen Bi, Matthew P. A. Fisher, | Summary: Measurements allow efficient preparation of interesting quantum many-body states exhibiting long-range, topological, or fractonic orders. Here, we prove that the so-called conformal quantum critical points (CQCP) can be obtained by performing general […]
Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Jong Yeon Lee, Wenjie Ji, Zhen Bi, Matthew P. A. Fisher, | Summary: Measurements allow efficient preparation of interesting quantum many-body states with long-range entanglement, conditioned on additional transformations based on measurement outcomes. Here, we demonstrate that the so-called conformal quantum critical points (CQCP) can […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Ai Yamakage, Mamoru Matsuo, , | Summary: We theoretically study the generation of spin current due to a surface acoustic wave (SAW) in a superconductor. We model an s-wave superconductor as the mean-field Hamiltonian and calculate spin current generated via spin-vorticity coupling based on kinetic […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Xiaohang Tang, Yi Zhou, Danushka Bollegala, , | Summary: Dynamic contextualised word embeddings represent the temporal semantic variations of words. We propose a method for learning dynamic contextualised word embeddings by time-adapting a pretrained Masked Language Model (MLM) using time-sensitive templates. Given two snapshots $C_1$ and $C_2$ […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou | Summary: Estimating 3D human pose and shape from 2D images is a crucial yet challenging task. While prior methods with model-based representations can perform reasonably well on whole-body images, they often fail when parts of the […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jie Zhou | Summary: 3D object detection with surrounding cameras has been a promising direction for autonomous driving. In this paper, we present SimMOD, a Simple baseline for Multi-camera Object Detection, to solve the problem. To incorporate multi-view information […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Xiaofeng Wang, Zheng Zhu, Guan Huang, Xu Chi, Yun Ye | Summary: Self-supervised monocular methods can efficiently learn depth information of weakly textured surfaces or reflective objects. However, the depth accuracy is limited due to the inherent ambiguity in monocular geometric modeling. In contrast, multi-frame depth estimation […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takuto Ishikawa, Mamoru Matsuo, Takeo Kato, , | Summary: We study temperature dependence of spin Hall magnetoresistance (SMR) in antiferromagnetic insulator (AFI)/metal bilayer systems. We calculate the amplitude of the SMR signal using the quantum Monte Carlo simulation and examine how the SMR depends on the amplitude […]