Decent work among rural-urban migrant workers in China: evidence and challenges

Autor: Mingyan Han, Maolong Zhang, Enhua Hu, Hongmei Shan

Publikováno v: Personnel Review. 52:916-932

PurposeThis study aims to examine how Chinese rural-urban migrant workers' socio-economic status was associated with their decent work.Design/methodology/approachGrounded in the psychology of working theory (PWT), this study tested the path from rura

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::858457a6c6f8f95ba8dbfc43334cf52d
https://doi.org/10.1108/pr-09-2021-0650

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report

Autor: Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Zhen Wang, Daoyu Li, Yuzhe Zhang, Lintao Peng, Xuyang Chang, Yinuo Zhang, Liheng Bian, Bing Li, Jie Huang, Mingde Yao, Ruikang Xu, Feng Zhao, Xiaohui Liu, Rongjian Xu, Zhilu Zhang, Xiaohe Wu, Ruohao Wang, Junyi Li, Wangmeng Zuo, Zhuang Jia, DongJae Lee, Ting Jiang, Qi Wu, Chengzhi Jiang, Mingyan Han, Xinpeng Li, Wenjie Lin, Youwei Li, Haoqiang Fan, Shuaicheng Liu

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031250712

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cf3bf3cc125e42931332fbffbd56b46
https://doi.org/10.1007/978-3-031-25072-9_4

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Autor: Eduardo Perez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marin-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Rottger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

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

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: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::168dc6a88ee62f372fc6869c7d05ae8e
https://doi.org/10.1109/cvprw56347.2022.00114

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

Autor: Shuaicheng Liu, Mingyan Han, Jian Sun, Wenjie Lin, Ting Jiang, Qing Rao, Zhen Liu, Haoqiang Fan, Xinpeng Li

Publikováno v: CVPR Workshops

In this paper, we present an attention-guided deformable convolutional network for hand-held multi-frame high dynamic range (HDR) imaging, namely ADNet. This problem comprises two intractable challenges of how to handle saturation and noise properly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1887e178124a9fc7d51ee856b02f8624
http://arxiv.org/abs/2105.10697