Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Huaijuan ZANG"'
Autor:
Xuanjie LIN, Hantong JIANG, Qian LI, Yuling ZHOU, Huaijuan ZANG, Yongsheng REN, Shu ZHAN, Wenhui MA
Publikováno v:
工程科学学报, Vol 46, Iss 6, Pp 1120-1129 (2024)
The elastic modulus is an important performance parameter that measures the ability of materials to resist deformation and is critical for assessing their reliability and stability. Thus, the elastic modulus serves as a guide in engineering design an
Externí odkaz:
https://doaj.org/article/a758e932821e4961b72f3e6a5edb2d27
Publikováno v:
AIP Advances, Vol 14, Iss 5, Pp 055033-055033-10 (2024)
With the development of science and technology and the improvement of hardware computing power, the application of large models in the field of artificial intelligence (AI) has become a current research hotspot Among the focal points in the field of
Externí odkaz:
https://doaj.org/article/6c6692296c6d460fa90686f74b5330c9
Publikováno v:
Entropy, Vol 24, Iss 9, p 1226 (2022)
Resolution is an intuitive assessment for the visual quality of images, which is limited by physical devices. Recently, image super-resolution (SR) models based on deep convolutional neural networks (CNNs) have made significant progress. However, mos
Externí odkaz:
https://doaj.org/article/bcc21b7bb1bd4b5cade3bddbea960e48
Publikováno v:
Entropy, Vol 24, Iss 4, p 489 (2022)
The development of display technology has continuously increased the requirements for image resolution. However, the imaging systems of many cameras are limited by their physical conditions, and the image resolution is often restrictive. Recently, se
Externí odkaz:
https://doaj.org/article/59f5232f43a74988a91f69cbe4d9e3e3
Publikováno v:
Journal of Electronic Imaging. 31
Publikováno v:
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML).
Publikováno v:
Journal of Management Science and Engineering. 4:266-278
Prostate cancer is the most common cancer in males and a major cause of cancer-related death. Magnetic resonance (MR) imaging is recently emerging as a powerful tool for prostate cancer diagnosis. To clinically diagnose prostate cancer, doctors need
Publikováno v:
Journal of Circuits, Systems and Computers. 30
In this paper, we propose an enhanced dual path attention network (EDPAN) for image super-resolution. ResNet is good at implicitly reusing extracted features, DenseNet is good at exploring new features. Dual Path Network (DPN) combines ResNets and De
Publikováno v:
Journal of Visual Communication and Image Representation. 59:455-460
Extracting efficient features from the large volume of 3D facial data directly is extremely difficult in 3D face recognition (3D-FR) with the latest methods, which mostly require heavy computations and manual processing steps. This paper presents a c
Autor:
Furui Bai, Jiawei Li, Sun Anshun, Fujie Gao, Yajun Qiu, Lei Liu, Xiumei Wang, Jiye Liu, Jing Liu, Lei Zhang, Jinghui Qin, Sanghoon Yoon, Guoan Cheng, Ruicheng Feng, Zheng Hui, Lin Zha, Li Guo, Dongliang He, Chu-Tak Li, Cuihua Li, Guochen Xie, Jun Yu, Rong Chen, Bowen Li, Shuhang Gu, Wenyi Tang, Shu Zhan, Zhang Yumei, Xiaoyun Jiang, Yanyun Qu, Qingwen He, Pengxu Wei, Ze Pan, Sungho Kim, Pablo Navarrete Michelini, Zhengping Wei, Xuan Xu, Darui Li, Peidong He, Minbeom Kim, Fan Hongfei, Joon-Soo Kim, Liang Lin, Changyeop Shin, Leilei Zhu, Xiang Li, Wangmeng Zuo, Jianrui Cai, Ling Shao, Donghee Son, Qunbo Lv, Yongcheng Jing, Can Zhao, Yi Fu, Yu Qiao, Chung-Chi Tsai, Shilei Wen, Dongwon Park, Xin Li, Zhi-Song Liu, Li-Wen Wang, Yuanfei Huang, Hongzhi Zhang, Jingdong Liu, Xiaotong Luo, Chen Hong, Fahad Shahbaz Khan, Zewei He, Chao Dong, Pengju Liu, Se Young Chun, Zheng Tan, Yanpeng Cao, Joon-Hee Choi, Chao Li, Xiaopeng Sun, Syed Waqas Zamir, Kai Zhang, Hong Cai, Youngjung Kim, Qiuyu Li, Radu Timofte, Ai Matsune, Yukai Shi, Xiao Liu, Wen Lu, Salman H. Khan, Mengyan Li, Wushao Wen, Huaijuan Zang, Mingli Song, Junhyung Kwak, Shang-Chih Chuang, Hanwen Liu, Xinbo Gao, Du Chen, Ding Yukang, Siliang Tang, Aditya Arora, Zhang Wenjie, Lishan Huang, Jinjin Gu, Ruxin wang, Dan Zhu
Publikováno v:
CVPR Workshops
This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) with a focus on proposed solutions and results. The challenge had 1 track, which was aimed at the real-world single i