Zobrazeno 1 - 10
of 700
pro vyhledávání: '"Zhang Mengxi"'
Autor:
Gao Ang, Zhang Mengxi, Sachdeva Shweta, Shavkatovich Shavkatov Navruzbek, Jagota Vishal, Sayyad Shabnam
Publikováno v:
Nonlinear Engineering, Vol 12, Iss 1, Pp 1-17 (2023)
In order to accurately and easily calculate the settlement of the foundation, a high-speed roadbed based on a nonlinear algorithm is proposed to broaden the uneven and uniform reduction numerical analysis. The basic loading test results of the founda
Externí odkaz:
https://doaj.org/article/362df489fd2546b19f921bfffa05e287
Autor:
Zhang Mengxi, Zhu Hao
Publikováno v:
E3S Web of Conferences, Vol 569, p 27002 (2024)
Fiber Bragg Grating (FBG) has been widely used in many civil engineering applications to sense strains and deformations. Combining the advantages of geosynthetics and FBG, this paper creatively presents a new type of FBG-3D printed geogrid, which all
Externí odkaz:
https://doaj.org/article/9c88455c1b164bb8912f22f65d4792b4
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 54, Iss 12, Pp 1307-1315 (2020)
With the development of the geotechnical reinforcement technology, the form of reinforcing materials tends to be three-dimensional. Strengthened blocks of a certain thickness are attached to the joints of the longitudinal and transverse ribs of an or
Externí odkaz:
https://doaj.org/article/c4b357e6a8724293b2012166b456174f
Autor:
Yao, Huanjin, Wu, Wenhao, Yang, Taojiannan, Song, YuXin, Zhang, Mengxi, Feng, Haocheng, Sun, Yifan, Li, Zhiheng, Ouyang, Wanli, Wang, Jingdong
Do we fully leverage the potential of visual encoder in Multimodal Large Language Models (MLLMs)? The recent outstanding performance of MLLMs in multimodal understanding has garnered broad attention from both academia and industry. In the current MLL
Externí odkaz:
http://arxiv.org/abs/2405.13800
Autor:
Zhang, Mengxi, Wu, Wenhao, Lu, Yu, Song, Yuxin, Rong, Kang, Yao, Huanjin, Zhao, Jianbo, Liu, Fanglong, Sun, Yifan, Feng, Haocheng, Wang, Jingdong
Current multimodal Large Language Models (MLLMs) suffer from ``hallucination'', occasionally generating responses that are not grounded in the input images. To tackle this challenge, one promising path is to utilize reinforcement learning from human
Externí odkaz:
http://arxiv.org/abs/2405.11165
Referring image segmentation (RIS) aims to locate the particular region corresponding to the language expression. Existing methods incorporate features from different modalities in a \emph{bottom-up} manner. This design may get some unnecessary image
Externí odkaz:
http://arxiv.org/abs/2405.10707
Diffusion models, known for their powerful generative capabilities, play a crucial role in addressing real-world super-resolution challenges. However, these models often focus on improving local textures while neglecting the impacts of global degrada
Externí odkaz:
http://arxiv.org/abs/2404.00661
Referring image segmentation (RIS) aims to segment a particular region based on a language expression prompt. Existing methods incorporate linguistic features into visual features and obtain multi-modal features for mask decoding. However, these meth
Externí odkaz:
http://arxiv.org/abs/2311.15727
This paper does not present a novel method. Instead, it delves into an essential, yet must-know baseline in light of the latest advancements in Generative Artificial Intelligence (GenAI): the utilization of GPT-4 for visual understanding. Our study c
Externí odkaz:
http://arxiv.org/abs/2311.15732
Radiotherapy is one of the primary treatment methods for tumors, but the organ movement caused by respiration limits its accuracy. Recently, 3D imaging from a single X-ray projection has received extensive attention as a promising approach to address
Externí odkaz:
http://arxiv.org/abs/2310.08080