Zobrazeno 1 - 10
of 49 997
pro vyhledávání: '"CHEN, Jie"'
Autor:
Lu, Yue, Chen, Jie, Zhou, Feng, Lau, Yong-Chang, Wisniewski, Piotr, Kaczorowski, Dariusz, Xi, Xue-Kui, Wang, Wen-Hong
The angular dependence of magnetoresistance (MR) in antiferromagnetic half-Heusler HoAuSn single crystals have been systematically studied. Negative MR, as large as 99%, is observed at 9 T, is not restricted to the specific configuration of applied m
Externí odkaz:
http://arxiv.org/abs/2411.14140
Real-world image super-resolution (Real-ISR) aims to reconstruct high-resolution images from low-resolution inputs degraded by complex, unknown processes. While many Stable Diffusion (SD)-based Real-ISR methods have achieved remarkable success, their
Externí odkaz:
http://arxiv.org/abs/2411.13383
Autor:
Jiang, Jinhao, Chen, Zhipeng, Min, Yingqian, Chen, Jie, Cheng, Xiaoxue, Wang, Jiapeng, Tang, Yiru, Sun, Haoxiang, Deng, Jia, Zhao, Wayne Xin, Liu, Zheng, Yan, Dong, Xie, Jian, Wang, Zhongyuan, Wen, Ji-Rong
Recently, test-time scaling has garnered significant attention from the research community, largely due to the substantial advancements of the o1 model released by OpenAI. By allocating more computational resources during the inference phase, large l
Externí odkaz:
http://arxiv.org/abs/2411.11694
In this paper, we continue the study of the local well-posedness theory for the Schr\"{o}dinger-KdV system in the Sobolev space $H^{s_1}\times H^{s_2}$. We show the local well-posedness in $H^{-3/16}\times H^{-3/4}$ for $\beta = 0$. Combining our wor
Externí odkaz:
http://arxiv.org/abs/2411.10977
In this paper, we study local well-posedness theory of the Cauchy problem for Schr\"{o}dinger-KdV system in Sobolev spaces $H^{s_1}\times H^{s_2}$. We obtain the local well-posedness when $s_1\geq 0$, $\max\{-3/4,s_1-3\}\leq s_2\leq \min\{4s_1,s_1+2\
Externí odkaz:
http://arxiv.org/abs/2411.10975
The online reconstruction of dynamic scenes from multi-view streaming videos faces significant challenges in training, rendering and storage efficiency. Harnessing superior learning speed and real-time rendering capabilities, 3D Gaussian Splatting (3
Externí odkaz:
http://arxiv.org/abs/2411.07541
Modeling subsurface fluid flow in porous media is crucial for applications such as oil and gas exploration. However, the inherent heterogeneity and multi-scale characteristics of these systems pose significant challenges in accurately reconstructing
Externí odkaz:
http://arxiv.org/abs/2411.02431
This material introduces the D-Subspace algorithm derived on the basis of the centralized algorithm [1], which originally addresses parameter estimation problems under a subspace constraint.
Externí odkaz:
http://arxiv.org/abs/2410.21320
Autor:
Chen, Bolin, Ye, Yan, Chen, Jie, Liao, Ru-Ling, Yin, Shanzhi, Wang, Shiqi, Yang, Kaifa, Li, Yue, Xu, Yiling, Wang, Ye-Kui, Gehlot, Shiv, Su, Guan-Ming, Yin, Peng, McCarthy, Sean, Sullivan, Gary J.
This paper proposes a Generative Face Video Compression (GFVC) approach using Supplemental Enhancement Information (SEI), where a series of compact spatial and temporal representations of a face video signal (i.e., 2D/3D key-points, facial semantics
Externí odkaz:
http://arxiv.org/abs/2410.15105
Interacting systems are prevalent in nature. It is challenging to accurately predict the dynamics of the system if its constituent components are analyzed independently. We develop a graph-based model that unveils the systemic interactions of time se
Externí odkaz:
http://arxiv.org/abs/2410.14030