Zobrazeno 1 - 10
of 778
pro vyhledávání: '"Chao, Fei"'
Autor:
Liu, Dingming, Li, Shaowei, Zhou, Ruoyan, Liang, Lili, Hong, Yongguan, Chao, Fei, Ji, Rongrong
Chinese landscape painting is a gem of Chinese cultural and artistic heritage that showcases the splendor of nature through the deep observations and imaginations of its painters. Limited by traditional techniques, these artworks were confined to sta
Externí odkaz:
http://arxiv.org/abs/2404.12903
Autor:
Luo, Yongdong, Lin, Haojia, Zheng, Xiawu, Jiang, Yigeng, Chao, Fei, Hu, Jie, Jiang, Guannan, Zhang, Songan, Ji, Rongrong
3D Visual Grounding (3DVG) and 3D Dense Captioning (3DDC) are two crucial tasks in various 3D applications, which require both shared and complementary information in localization and visual-language relationships. Therefore, existing approaches adop
Externí odkaz:
http://arxiv.org/abs/2404.11064
Autor:
Chen, Lei, Gao, Xinghang, Chao, Fei, Chang, Xiang, Lin, Chih Min, Gao, Xingen, Lin, Shaopeng, Zhang, Hongyi, Lin, Juqiang
In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhancement in their performance often arises from an increase in the complexit
Externí odkaz:
http://arxiv.org/abs/2404.07847
Autor:
Ma, Yuexiao, Li, Huixia, Zheng, Xiawu, Ling, Feng, Xiao, Xuefeng, Wang, Rui, Wen, Shilei, Chao, Fei, Ji, Rongrong
The significant resource requirements associated with Large-scale Language Models (LLMs) have generated considerable interest in the development of techniques aimed at compressing and accelerating neural networks. Among these techniques, Post-Trainin
Externí odkaz:
http://arxiv.org/abs/2403.12544
Autor:
Tian, Zhiqiang, Zhu, Ziming, Zeng, Jiang, Liu, Chao-Fei, Yang, Yurong, Pan, Anlian, Chen, Mingxing
Publikováno v:
Phys. Rev. B 109, 085432 (2024)
Materials with ferroelectrically switchable topological properties are of interest for both fundamental physics and practical applications. Using first-principles calculations, we find that stacking ferroelectric $\alpha$-In$_2$Se$_3$ monolayers into
Externí odkaz:
http://arxiv.org/abs/2402.18274
Autor:
Guo, Song, Wu, Fan, Zhang, Lei, Zheng, Xiawu, Zhang, Shengchuan, Chao, Fei, Shi, Yiyu, Ji, Rongrong
Existing methods for fine-tuning sparse LLMs often suffer from resource-intensive requirements and high retraining costs. Additionally, many fine-tuning methods often rely on approximations or heuristic optimization strategies, which may lead to subo
Externí odkaz:
http://arxiv.org/abs/2402.12419
Doping induced multiferroicity and quantum anomalous Hall effect in $\alpha$-In$_2$Se$_3$ thin films
Autor:
Tian, Zhiqiang, Li, Jin-Yang, Ouyang, Tao, Liu, Chao-Fei, Liu, Ziran, Li, Si, Pan, Anlian, Chen, Mingxing
Publikováno v:
Appl. Phys. Lett. 124, 043101 (2024)
In flat-band materials, the strong Coulomb interaction between electrons can lead to exotic physical phenomena. Recently, $\alpha$-In$_2$Se$_3$ thin films were found to possess ferroelectricity and flat bands. In this work, using first-principles cal
Externí odkaz:
http://arxiv.org/abs/2402.09770
In contrast to traditional image restoration methods, all-in-one image restoration techniques are gaining increased attention for their ability to restore images affected by diverse and unknown corruption types and levels. However, contemporary all-i
Externí odkaz:
http://arxiv.org/abs/2401.13221
This paper focuses on addressing the issue of image demoireing. Unlike the large volume of existing studies that rely on learning from paired real data, we attempt to learn a demoireing model from unpaired real data, i.e., moire images associated wit
Externí odkaz:
http://arxiv.org/abs/2401.02719
The poor cross-architecture generalization of dataset distillation greatly weakens its practical significance. This paper attempts to mitigate this issue through an empirical study, which suggests that the synthetic datasets undergo an inductive bias
Externí odkaz:
http://arxiv.org/abs/2312.05598