Lightweight single image super-resolution based on multi-path progressive feature fusion and attention mechanism

Autor: Shanshan Li, Dengwen Zhou, Yukai Liu, Dandan Gao, Wanjun Wang

Publikováno v: International Journal of Machine Learning and Cybernetics.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b9e36fdd944e91666e57ea76160130ed
https://doi.org/10.1007/s13042-023-01847-0

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Autor: Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wul, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Publikováno v: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4b7616ca574d79a1b121e0491dc3239
https://doi.org/10.1109/cvprw56347.2022.00118

An Illumination Insensitive and Structure-Aware Image Color Layer Decomposition Method

Autor: Wengang Cheng, Dengwen Zhou, Pengli Dou

Publikováno v: MultiMedia Modeling ISBN: 9783030377304
MMM (1)

To decompose of an image into a set of color layers can facilitate many image editing manipulations, but the high-quality layering remains challenging. We propose a novel illumination insensitive and structure-aware layer decomposition approach. To r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7550428f05e088b91c431f3ba7af55ba
https://doi.org/10.1007/978-3-030-37731-1_14

Dual-path attention network for single image super-resolution

Autor: Jinxin Li, Wenbin Li, Dengwen Zhou, Zhiyong Huang

Publikováno v: Expert Systems with Applications. 169:114450

Deep convolutional neural networks (CNNs) have recently made remarkable advances in single image super-resolution (SISR). The CNN structures of most existing SISR methods are just based on residual structures, dense structures, or their variants. How

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56c0655c1d364ee7365bc8ee7d586640
https://doi.org/10.1016/j.eswa.2020.114450

Flower classification via convolutional neural network

Autor: Weiming Dong, Yuanyuan Liu, Fan Tang, Dengwen Zhou, Yiping Meng

Publikováno v: 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA).

In this paper, we address the problem of natural flower classification. It is a challenging task due to the non-rigid deformation, illumination changes, and inter-class similarity. We build a large dataset of flower images in the wide with 79 categor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d70cf61e38d0e3fded322a36ce51776a
https://doi.org/10.1109/fspma.2016.7818296