Zobrazeno 11 - 20
of 106 673
pro vyhledávání: '"LI, Jing"'
We analyze the single-photon band structure and the transport of a single photon in a one-dimensional coupled-spinning-resonator chain. The time-reversal symmetry of the resonators chain is broken by the spinning of the resonators, instead of externa
Externí odkaz:
http://arxiv.org/abs/2407.11339
Deep learning-based multi-view facial capture methods have shown impressive accuracy while being several orders of magnitude faster than a traditional mesh registration pipeline. However, the existing systems (e.g. TEMPEH) are strictly restricted to
Externí odkaz:
http://arxiv.org/abs/2407.10193
Infrared and visible image fusion has been developed from vision perception oriented fusion methods to strategies which both consider the vision perception and high-level vision task. However, the existing task-driven methods fail to address the doma
Externí odkaz:
http://arxiv.org/abs/2407.10047
The Galactic disk is one of the main components of the Milky Way, which contributes most of the luminosity. Its structure is essential for understanding the formation and evolution of the Milky Way. Using 174,443 K-type dwarf stars observed by both L
Externí odkaz:
http://arxiv.org/abs/2407.09312
Autor:
Zhang, Yuji, Li, Sha, Liu, Jiateng, Yu, Pengfei, Fung, Yi R., Li, Jing, Li, Manling, Ji, Heng
Hallucination is often regarded as a major impediment for using large language models (LLMs), especially for knowledge-intensive tasks. Even when the training corpus consists solely of true statements, language models still generate hallucinations in
Externí odkaz:
http://arxiv.org/abs/2407.08039
Publikováno v:
Soft Matter, 2024,20, 5174-5182
Active polymers possess numerous unique properties that are quite different from those observed in the system of small active molecule due to the intricate interplay between their activity and topological constraints. This study focuses on the confor
Externí odkaz:
http://arxiv.org/abs/2407.05066
Publikováno v:
Machine Learning 2024
Recent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent approaches optimize these property functions independently, thus omitting the trade-offs among them. I
Externí odkaz:
http://arxiv.org/abs/2407.04493
This paper introduces VIVA, a benchmark for VIsion-grounded decision-making driven by human VAlues. While most large vision-language models (VLMs) focus on physical-level skills, our work is the first to examine their multimodal capabilities in lever
Externí odkaz:
http://arxiv.org/abs/2407.03000
Autor:
Ng, Man-Hei, Tang, Chi-Long, Zhang, Xiaoping, Tam, Kuan-Vai, Chen, Peng-Fei, Dong, Wudong, Li, Jing, Tang, Chi-Pui
Understanding how elemental abundances evolve during solar flares helps shed light on the mass and energy transfer between different solar atmospheric layers. However, prior studies have mostly concentrated on averaged abundances or specific flare ph
Externí odkaz:
http://arxiv.org/abs/2407.02199
This paper investigates the isentropic compressible Navier-Stokes equations on k-connected domains under Navier-slip boundary conditions. We study the multi-solvability of the stationary systems on general domains, which is closely related with the C
Externí odkaz:
http://arxiv.org/abs/2407.01901