Zobrazeno 1 - 10
of 105 622
pro vyhledávání: '"Li,Xin"'
Autor:
Shen, Zhuowen, Liu, Yuan, Chen, Zhang, Li, Zhong, Wang, Jiepeng, Liang, Yongqing, Yu, Zhengming, Zhang, Jingdong, Xu, Yi, Schaefer, Scott, Li, Xin, Wang, Wenping
Gaussian splatting has achieved impressive improvements for both novel-view synthesis and surface reconstruction from multi-view images. However, current methods still struggle to reconstruct high-quality surfaces from only sparse view input images u
Externí odkaz:
http://arxiv.org/abs/2412.15400
Autor:
Zou, Guangwenjie, Yao, Liang, Liu, Fan, Zhang, Chuanyi, Li, Xin, Chen, Ning, Xu, Shengxiang, Zhou, Jun
Since high resolution remote sensing image classification often requires a relatively high computation complexity, lightweight models tend to be practical and efficient. Model pruning is an effective method for model compression. However, existing me
Externí odkaz:
http://arxiv.org/abs/2412.12603
Autor:
Wu, Dongya, Li, Xin
Powerful deep neural networks are vulnerable to adversarial attacks. To obtain adversarially robust models, researchers have separately developed adversarial training and Jacobian regularization techniques. There are abundant theoretical and empirica
Externí odkaz:
http://arxiv.org/abs/2412.12449
Publikováno v:
Decision Support Systems, 2014, 65, 95-104
Recommender systems are a critical component of e-commercewebsites. The rapid development of online social networking services provides an opportunity to explore social networks together with information used in traditional recommender systems, such
Externí odkaz:
http://arxiv.org/abs/2412.12202
Publikováno v:
IEEE Transactions on SMC: Systems , 2018, 48(2), 177-194
Recommender systems are widely used for suggesting books, education materials, and products to users by exploring their behaviors. In reality, users' preferences often change over time, leading to studies on time-dependent recommender systems. Howeve
Externí odkaz:
http://arxiv.org/abs/2412.11127
Autor:
Zhou, Sijia, Li, Xin
Publikováno v:
Information Processing and Management, 2020, 57(3), 102206
Section identification is an important task for library science, especially knowledge management. Identifying the sections of a paper would help filter noise in entity and relation extraction. In this research, we studied the paper section identifica
Externí odkaz:
http://arxiv.org/abs/2412.11125
Creating realistic VR experiences is challenging due to the labor-intensive process of accurately replicating real-world details into virtual scenes, highlighting the need for automated methods that maintain spatial accuracy and provide design flexib
Externí odkaz:
http://arxiv.org/abs/2412.11033
Text-driven Image to Video Generation (TI2V) aims to generate controllable video given the first frame and corresponding textual description. The primary challenges of this task lie in two parts: (i) how to identify the target objects and ensure the
Externí odkaz:
http://arxiv.org/abs/2412.10275
The recently developed extended Skyrme effective interaction based on the so-called N3LO Skyrme pseudopotential is generalized to the general N$n$LO case by incorporating the derivative terms up to 2$n$th-order into the central term of the pseudopote
Externí odkaz:
http://arxiv.org/abs/2412.09393
Autor:
Song, Zhigang, Li, Xin
Previous theoretical studies on superconductivity were focused on the static states and adiabatic processes. Quantum mechanics simulations of time-dependent processes in superconductors were rarely performed previously. Here we use real-time time-dep
Externí odkaz:
http://arxiv.org/abs/2412.09098