Zobrazeno 1 - 10
of 372
pro vyhledávání: '"Luo Weihua"'
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 155-164 (2024)
We present and analyze two kinds of nonconforming finite element methods for three-field Biot’s consolidation model in poroelasticity. We employ the Crouzeix-Raviart element for one of the displacement component and conforming linear element for th
Externí odkaz:
https://doaj.org/article/1c58e4f2a1b2441a9bb3f1404b8392d6
Autor:
Ming, Lingfeng, Zeng, Bo, Lyu, Chenyang, Shi, Tianqi, Zhao, Yu, Yang, Xue, Liu, Yefeng, Wang, Yiyu, Xu, Linlong, Liu, Yangyang, Zhao, Xiaohu, Wang, Hao, Liu, Heng, Zhou, Hao, Yin, Huifeng, Shang, Zifu, Li, Haijun, Wang, Longyue, Luo, Weihua, Zhang, Kaifu
Large Language Models (LLMs) have achieved remarkable progress in recent years; however, their excellent performance is still largely limited to major world languages, primarily English. Many LLMs continue to face challenges with multilingual tasks,
Externí odkaz:
http://arxiv.org/abs/2412.04003
Autor:
Chang, Tianyu, Wei, Xiaohao Chen. Zhichao, Zhang, Xuanpu, Chen, Qing-Guo, Luo, Weihua, Yang, Xun
Video Virtual Try-on aims to fluently transfer the garment image to a semantically aligned try-on area in the source person video. Previous methods leveraged the inpainting mask to remove the original garment in the source video, thus achieving accur
Externí odkaz:
http://arxiv.org/abs/2412.03021
Autor:
Zhao, Yu, Yin, Huifeng, Zeng, Bo, Wang, Hao, Shi, Tianqi, Lyu, Chenyang, Wang, Longyue, Luo, Weihua, Zhang, Kaifu
Currently OpenAI o1 sparks a surge of interest in the study of large reasoning models (LRM). Building on this momentum, Marco-o1 not only focuses on disciplines with standard answers, such as mathematics, physics, and coding -- which are well-suited
Externí odkaz:
http://arxiv.org/abs/2411.14405
Autor:
Molodetskikh, Ivan, Borisov, Artem, Vatolin, Dmitriy, Timofte, Radu, Liu, Jianzhao, Zhi, Tianwu, Zhang, Yabin, Li, Yang, Xu, Jingwen, Liao, Yiting, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Cao, Yuqin, Sun, Wei, Zhang, Weixia, Sun, Yinan, Jia, Ziheng, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, Luo, Weihua, Z., Yupeng, Y, Hong
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. The task of this challenge was to develop an objective QA me
Externí odkaz:
http://arxiv.org/abs/2410.04225
Autor:
Yan, Dawei, Li, Pengcheng, Li, Yang, Chen, Hao, Chen, Qingguo, Luo, Weihua, Dong, Wei, Yan, Qingsen, Zhang, Haokui, Shen, Chunhua
Currently, inspired by the success of vision-language models (VLMs), an increasing number of researchers are focusing on improving VLMs and have achieved promising results. However, most existing methods concentrate on optimizing the connector and en
Externí odkaz:
http://arxiv.org/abs/2409.09564
Autor:
Zhou, Hao, Wang, Zhijun, Huang, Shujian, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Luo, Weihua, Chen, Jiajun
Large Language Models (LLMs) are often English-centric due to the disproportionate distribution of languages in their pre-training data. Enhancing non-English language capabilities through post-pretraining often results in catastrophic forgetting of
Externí odkaz:
http://arxiv.org/abs/2408.11396
We propose a novel approach for decision making problems leveraging the generalization capabilities of large language models (LLMs). Traditional methods such as expert systems, planning algorithms, and reinforcement learning often exhibit limited gen
Externí odkaz:
http://arxiv.org/abs/2408.06087
Autor:
Zhang, Xuanpu, Song, Dan, Zhan, Pengxin, Chang, Tianyu, Zeng, Jianhao, Chen, Qingguo, Luo, Weihua, Liu, Anan
Image-based virtual try-on is an increasingly popular and important task to generate realistic try-on images of the specific person. Recent methods model virtual try-on as image mask-inpaint task, which requires masking the person image and results i
Externí odkaz:
http://arxiv.org/abs/2408.06047
Autor:
Chen, Sijia, Wang, Yibo, Wu, Yi-Feng, Chen, Qing-Guo, Xu, Zhao, Luo, Weihua, Zhang, Kaifu, Zhang, Lijun
Tool-augmented large language models (LLMs) leverage tools, often in the form of APIs, to enhance their reasoning capabilities on complex tasks, thus taking on the role of intelligent agents interacting with the real world. The recently introduced To
Externí odkaz:
http://arxiv.org/abs/2406.07115