Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Jiang Chengzhi"'
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 8, Pp 211-216 (2024)
Objective Excavation of deep and big foundation pit destroys the equilibrium state of the original stress field in the soil, leading to ground deformation. Foundation pit deformation can be controlled by adopting GRF (green prefabricated ) surface pr
Externí odkaz:
https://doaj.org/article/dabad57d95ee4787b0cce69337abb9ad
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 226-233 (2024)
Objective In the ultra-close layered tunnel construction, the preceding excavated tunnel can cause unpredictable damage to the surrounding rock, which will affect the smooth construction of the following tunnel and increase the difficulties of engine
Externí odkaz:
https://doaj.org/article/47a3fd807ebe4226930b16b0caf4ee77
Autor:
Luo, Jinting, Li, Ru, Jiang, Chengzhi, Han, Mingyan, Zhang, Xiaoming, Jiang, Ting, Fan, Haoqiang, Liu, Shuaicheng
We propose Diff-Shadow, a global-guided diffusion model for high-quality shadow removal. Previous transformer-based approaches can utilize global information to relate shadow and non-shadow regions but are limited in their synthesis ability and recov
Externí odkaz:
http://arxiv.org/abs/2407.16214
In this paper, we address the Bracket Image Restoration and Enhancement (BracketIRE) task using a novel framework, which requires restoring a high-quality high dynamic range (HDR) image from a sequence of noisy, blurred, and low dynamic range (LDR) m
Externí odkaz:
http://arxiv.org/abs/2404.10358
Autor:
Pérez-Pellitero, Eduardo, Catley-Chandar, Sibi, Shaw, Richard, Leonardis, Aleš, Timofte, Radu, Zhang, Zexin, Liu, Cen, Peng, Yunbo, Lin, Yue, Yu, Gaocheng, Zhang, Jin, Ma, Zhe, Wang, Hongbin, Chen, Xiangyu, Wang, Xintao, Wu, Haiwei, Liu, Lin, Dong, Chao, Zhou, Jiantao, Yan, Qingsen, Zhang, Song, Chen, Weiye, Liu, Yuhang, Zhang, Zhen, Zhang, Yanning, Shi, Javen Qinfeng, Gong, Dong, Zhu, Dan, Sun, Mengdi, Chen, Guannan, Hu, Yang, Li, Haowei, Zou, Baozhu, Liu, Zhen, Lin, Wenjie, Jiang, Ting, Jiang, Chengzhi, Li, Xinpeng, Han, Mingyan, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Marín-Vega, Juan, Sloth, Michael, Schneider-Kamp, Peter, Röttger, Richard, Li, Chunyang, Bao, Long, He, Gang, Xu, Ziyao, Xu, Li, Zhan, Gen, Sun, Ming, Wen, Xing, Li, Junlin, Li, Jinjing, Li, Chenghua, Gang, Ruipeng, Li, Fangya, Liu, Chenming, Feng, Shuang, Lei, Fei, Liu, Rui, Ruan, Junxiang, Dai, Tianhong, Li, Wei, Lu, Zhan, Liu, Hengyan, Huang, Peian, Ren, Guangyu, Luo, Yonglin, Liu, Chang, Tu, Qiang, Ma, Sai, Cao, Yizhen, Tel, Steven, Heyrman, Barthelemy, Ginhac, Dominique, Lee, Chul, Kim, Gahyeon, Park, Seonghyun, Vien, An Gia, Mai, Truong Thanh Nhat, Yoon, Howoon, Vo, Tu, Holston, Alexander, Zaheer, Sheir, Park, Chan Y.
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022. This manuscript focuses on the competition set
Externí odkaz:
http://arxiv.org/abs/2205.12633
Publikováno v:
MATEC Web of Conferences, Vol 128, p 01001 (2017)
SiBCN (silicon boron carbon nitrogen) wireless passive microwave resonant cavity temperature sensor is a new type of sensor under the development trend of radio frequency microwave technology. Based on the working principle of the sensor, the softwar
Externí odkaz:
https://doaj.org/article/13ac4eb4047a4d4d9d01e677062bec35
Autor:
Zhang, Shunran, Lan, Yangang, Wang, Linna, Jiang, Chengzhi, Wang, Yufang, Wu, Min, Xiang, Yan
Publikováno v:
In Industrial Crops & Products August 2024 214
Autor:
Jiang, Chengzhi, Sarkar, Arindam, Noorwali, Abdulfattah, Karmakar, Rahul, Othman, Kamal M., Manna, Sarbajit
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2024 137 Part B
Existing classification-based face recognition methods have achieved remarkable progress, introducing large margin into hypersphere manifold to learn discriminative facial representations. However, the feature distribution is ignored. Poor feature di
Externí odkaz:
http://arxiv.org/abs/2107.03352