Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao | Summary: Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align with human perceptions, and effective quantitative metrics for video editing are […]
Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Daniel C. Ralph, , , , | Summary: Lecture notes used as part of a graduate-level Introduction to Solid State Physics course at Cornell University. I attempt to unify and update the discussion of magnetism and superconductivity relative to standard textbook treatments, and include connections to […]
Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Yaojun Chen, Hainan Zhang, , | Summary: The isolated toughness variant is a salient parameter for measuring the vulnerability of networks, which is inherently related to fractional factors (used to characterize the feasibility of data transmission). The combination of minimum degree and the corresponding tight […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Kritanjan Polley, Kevin R. Wilson, David T. Limmer, , | Summary: We investigate the evaporation of trace amounts of helium solvated in liquid water using molecular dynamics simulations and theory. Consistent with experimental observations, we find a super-Maxwellian distribution of kinetic energies of evaporated helium. This […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runming Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enhance pseudo-label accuracy in semi-supervised learning, broadening its applicability to various building function categorization […]
Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Giovanni Marini, Luca Moreschini, Chris Jozwiak | Summary: Screening, a ubiquitous phenomenon associated with the shielding of electric fields by surrounding charges, has been widely adopted as a means to modify a material’s properties. While so far most studies have relied on static […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Ashesh Ghosh, Kranthi K. Mandadapu, David T. Limmer, , | Summary: We present a solution for the Green’s function for the general case of a helical wormlike chain with twist-bend coupling, and demonstrate the applicability of our solution for evaluating general structural and mechanical chain properties. […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yuqi Ye, Wei Gao, , , | Summary: The key to effective point cloud compression is to obtain a robust context model consistent with complex 3D data structures. Recently, the advancement of large language models (LLMs) has highlighted their capabilities not only as powerful generators for in-context […]