Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Jiang, Mingchao"'
The development of online high-definition maps is significant since they provide real-time, accurate, and updatable geographic information for location-based applications, such as autonomous driving and intelligent transportation, thus improving the
Externí odkaz:
http://arxiv.org/abs/2311.02503
Autor:
Zou, Wenbin, Gao, Hongxia, Chen, Liang, Zhang, Yunchen, Jiang, Mingchao, Yu, Zhongxin, Tan, Ming
Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. To attain superior performance, many methods have prioritized designing complex modules to fuse simi
Externí odkaz:
http://arxiv.org/abs/2304.06236
Autor:
Jiang, Mingchao, Wang, Ning, Zhang, Yuqin, Zhang, Jinjin, Li, Youwei, Yan, Xiu, Zhang, Honghao, Li, Chengbin, Guan, Youfei, Liang, Bin, Zhang, Weiping, Wu, Yingjie
Publikováno v:
In iScience 19 July 2024 27(7)
In the real world, the degradation of images taken under haze can be quite complex, where the spatial distribution of haze is varied from image to image. Recent methods adopt deep neural networks to recover clean scenes from hazy images directly. How
Externí odkaz:
http://arxiv.org/abs/2111.09733
Image deblurring is a classical computer vision problem that aims to recover a sharp image from a blurred image. To solve this problem, existing methods apply the Encode-Decode architecture to design the complex networks to make a good performance. H
Externí odkaz:
http://arxiv.org/abs/2110.05803
Autor:
Fu, Yonggan, Yu, Zhongzhi, Zhang, Yongan, Jiang, Yifan, Li, Chaojian, Liang, Yongyuan, Jiang, Mingchao, Wang, Zhangyang, Lin, Yingyan
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT) devices has motivated a tremendous demand for automated solutions to enable fast development and deployment of efficient (1) DNNs equipped with instantaneous accuracy-efficiency
Externí odkaz:
http://arxiv.org/abs/2104.10853
Recent papers have suggested that transfer learning can outperform sophisticated meta-learning methods for few-shot image classification. We take this hypothesis to its logical conclusion, and suggest the use of an ensemble of high-quality, pre-train
Externí odkaz:
http://arxiv.org/abs/2101.00562
Publikováno v:
In Journal of Building Engineering 15 April 2023 65
Autor:
Han, Dong, Yang, Yunsong, Guo, Zhantong, Dai, Shuwen, Jiang, Mingchao, Zhu, Yuanyuan, Wang, Yuqin, Yu, Zhen, Wang, Ke, Rong, Chunchi, Yu, Yongjian
Publikováno v:
Foods; Aug2024, Vol. 13 Issue 16, p2534, 22p
Autor:
Lu, Zhongyu1 (AUTHOR), Jiang, Mingchao1 (AUTHOR), Pan, Yunfeng2 (AUTHOR) yfpan@zstu.edu.cn, Xian, Guijun3 (AUTHOR), Yang, Miaomiao3 (AUTHOR)
Publikováno v:
Polymer Composites. Apr2022, Vol. 43 Issue 4, p1961-1973. 13p.