Zobrazeno 1 - 10
of 41 551
pro vyhledávání: '"YANG, Wei"'
Autor:
He, Yuze, Zhou, Yanning, Zhao, Wang, Wu, Zhongkai, Xiao, Kaiwen, Yang, Wei, Liu, Yong-Jin, Han, Xiao
We present StdGEN, an innovative pipeline for generating semantically decomposed high-quality 3D characters from single images, enabling broad applications in virtual reality, gaming, and filmmaking, etc. Unlike previous methods which struggle with l
Externí odkaz:
http://arxiv.org/abs/2411.05738
Multi-Object Tracking (MOT) aims to associate multiple objects across video frames and is a challenging vision task due to inherent complexities in the tracking environment. Most existing approaches train and track within a single domain, resulting i
Externí odkaz:
http://arxiv.org/abs/2410.23907
Autor:
Park, David K., Ren, Yihui, Kilic, Ozgur O., Korchuganova, Tatiana, Vatsavai, Sairam Sri, Boudreau, Joseph, Chowdhury, Tasnuva, Feng, Shengyu, Khan, Raees, Kim, Jaehyung, Klasky, Scott, Maeno, Tadashi, Nilsson, Paul, Outschoorn, Verena Ingrid Martinez, Podhorszki, Norbert, Suter, Frederic, Yang, Wei, Yang, Yiming, Yoo, Shinjae, Klimentov, Alexei, Hoisie, Adolfy
Large-scale international scientific collaborations, such as ATLAS, Belle II, CMS, and DUNE, generate vast volumes of data. These experiments necessitate substantial computational power for varied tasks, including structured data processing, Monte Ca
Externí odkaz:
http://arxiv.org/abs/2410.07940
In recent decades, there has been substantial advances in time series models and benchmarks across various individual tasks, such as time series forecasting, classification, and anomaly detection. Meanwhile, compositional reasoning in time series is
Externí odkaz:
http://arxiv.org/abs/2410.04047
Autor:
Wu, Mengzhou, Wang, Hao, Ren, Jun, Cao, Yuan, Li, Yuetong, Jiang, Alex, Ran, Dezhi, Hu, Yitao, Yang, Wei, Xie, Tao
To alleviate the substantial cost of manually crafting user interface (UI) test cases, UI test migration aims to automatically generate test cases for a target mobile application (app) by adapting those from a source app that shares similar functiona
Externí odkaz:
http://arxiv.org/abs/2409.13311
Autor:
Zhu, Jundong, Liu, Le, Yuan, Yalong, Dong, Jinwei, Chu, Yanbang, Du, Luojun, Watanabe, Kenji, Taniguchi, Takashi, Liu, Jianpeng, Wu, Quansheng, Shi, Dongxia, Yang, Wei, Zhang, Guangyu
Twisted graphene moire superlattice has been demonstrated as an exotic platform for investigating correlated states and nontrivial topology. Among the moire family, twisted double bilayer graphene (TDBG) is a tunable flat band system expected to show
Externí odkaz:
http://arxiv.org/abs/2409.11023
Marginal structural models (MSMs) are widely used in observational studies to estimate the causal effect of time-varying treatments. Despite its popularity, limited attention has been paid to summarizing the treatment history in the outcome model, wh
Externí odkaz:
http://arxiv.org/abs/2409.04933
Autor:
Feng, Hai-Cheng, Li, Sha-Sha, Bai, J. M., Liu, H. T., Lu, Kai-Xing, Pang, Yu-Xuan, Sun, Mouyuan, Wang, Jian-Guo, Zhang, Yang-Wei, Zhou, Shuying
We present the results of a four-year velocity-resolved reverberation mapping (RM) campaign of the changing-look active galactic nucleus (CL-AGN) NGC 4151 during its outburst phase. By measuring the time lags of the \ha, \hb, \hg, \hei, and \heii\ em
Externí odkaz:
http://arxiv.org/abs/2409.01637
Quantum turbulence is a far-from-equilibrium process characterized by high nonlinearity. Holographic duality provides a systematic framework for simulating the decaying $(3+1)$-dimensional quantum turbulence by numerically solving the dual Abelian-Hi
Externí odkaz:
http://arxiv.org/abs/2408.13620
Autor:
Qu, Yun, Wang, Boyuan, Shao, Jianzhun, Jiang, Yuhang, Chen, Chen, Ye, Zhenbin, Liu, Lin, Yang, Junfeng, Lai, Lin, Qin, Hongyang, Deng, Minwen, Zhuo, Juchao, Ye, Deheng, Fu, Qiang, Yang, Wei, Yang, Guang, Huang, Lanxiao, Ji, Xiangyang
The advancement of Offline Reinforcement Learning (RL) and Offline Multi-Agent Reinforcement Learning (MARL) critically depends on the availability of high-quality, pre-collected offline datasets that represent real-world complexities and practical a
Externí odkaz:
http://arxiv.org/abs/2408.10556