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30 results on '"Han, Mingyan"'

1. Diff-Shadow: Global-guided Diffusion Model for Shadow Removal

Author

Luo, Jinting, Li, Ru, Jiang, Chengzhi, Zhang, Xiaoming, Han, Mingyan, Jiang, Ting, Fan, Haoqiang, and Liu, Shuaicheng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We propose Diff-Shadow, a global-guided diffusion model for 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 recover images with obvious boundaries. In contrast, diffusion-based methods can generate better content but they are not exempt from issues related to inconsistent illumination. In this work, we combine the advantages of diffusion models and global guidance to achieve shadow-free restoration. Specifically, we propose a parallel UNets architecture: 1) the local branch performs the patch-based noise estimation in the diffusion process, and 2) the global branch recovers the low-resolution shadow-free images. A Reweight Cross Attention (RCA) module is designed to integrate global contextual information of non-shadow regions into the local branch. We further design a Global-guided Sampling Strategy (GSS) that mitigates patch boundary issues and ensures consistent illumination across shaded and unshaded regions in the recovered image. Comprehensive experiments on datasets ISTD, ISTD+, and SRD have demonstrated the effectiveness of Diff-Shadow. Compared to state-of-the-art methods, our method achieves a significant improvement in terms of PSNR, increasing from 32.33dB to 33.69dB on the ISTD dataset., Comment: Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence

Published
2024

2. Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation

Author

Lin, Wenjie, Liu, Zhen, Jiang, Chengzhi, Han, Mingyan, Jiang, Ting, and Liu, Shuaicheng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

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) multi-exposure RAW inputs. To overcome this challenge, we present the IREANet, which improves the multiple exposure alignment and aggregation with a Flow-guide Feature Alignment Module (FFAM) and an Enhanced Feature Aggregation Module (EFAM). Specifically, the proposed FFAM incorporates the inter-frame optical flow as guidance to facilitate the deformable alignment and spatial attention modules for better feature alignment. The EFAM further employs the proposed Enhanced Residual Block (ERB) as a foundational component, wherein a unidirectional recurrent network aggregates the aligned temporal features to better reconstruct the results. To improve model generalization and performance, we additionally employ the Bayer preserving augmentation (BayerAug) strategy to augment the multi-exposure RAW inputs. Our experimental evaluations demonstrate that the proposed IREANet shows state-of-the-art performance compared with previous methods.

Published
2024

3. Realistic Noise Synthesis with Diffusion Models

Author

Wu, Qi, Han, Mingyan, Jiang, Ting, Jiang, Chengzhi, Luo, Jinting, Jiang, Man, Fan, Haoqiang, and Liu, Shuaicheng

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Deep denoising models require extensive real-world training data, which is challenging to acquire. Current noise synthesis techniques struggle to accurately model complex noise distributions. We propose a novel Realistic Noise Synthesis Diffusor (RNSD) method using diffusion models to address these challenges. By encoding camera settings into a time-aware camera-conditioned affine modulation (TCCAM), RNSD generates more realistic noise distributions under various camera conditions. Additionally, RNSD integrates a multi-scale content-aware module (MCAM), enabling the generation of structured noise with spatial correlations across multiple frequencies. We also introduce Deep Image Prior Sampling (DIPS), a learnable sampling sequence based on depth image prior, which significantly accelerates the sampling process while maintaining the high quality of synthesized noise. Extensive experiments demonstrate that our RNSD method significantly outperforms existing techniques in synthesizing realistic noise under multiple metrics and improving image denoising performance., Comment: Accepted by AAAI25

Published
2023

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

Author

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, and Park, Chan Y.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

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-up, datasets, the proposed methods and their results. The challenge aims at estimating an HDR image from multiple respective low dynamic range (LDR) observations, which might suffer from under- or over-exposed regions and different sources of noise. The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i.e. solutions can not exceed a given number of operations). In Track 2, participants are asked to minimize the complexity of their solutions while imposing a constraint on fidelity scores (i.e. solutions are required to obtain a higher fidelity score than the prescribed baseline). Both tracks use the same data and metrics: Fidelity is measured by means of PSNR with respect to a ground-truth HDR image (computed both directly and with a canonical tonemapping operation), while complexity metrics include the number of Multiply-Accumulate (MAC) operations and runtime (in seconds)., Comment: CVPR Workshops 2022. 15 pages, 21 figures, 2 tables

Published
2022

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

Author

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

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

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 and how to tackle misalignments caused by object motion or camera jittering. To address the former, we adopt a spatial attention module to adaptively select the most appropriate regions of various exposure low dynamic range (LDR) images for fusion. For the latter one, we propose to align the gamma-corrected images in the feature-level with a Pyramid, Cascading and Deformable (PCD) alignment module. The proposed ADNet shows state-of-the-art performance compared with previous methods, achieving a PSNR-$l$ of 39.4471 and a PSNR-$\mu$ of 37.6359 in NTIRE 2021 Multi-Frame HDR Challenge., Comment: Accepted by CVPRW 2021

Published
2021

8. MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report

Author

Yang, Qingyu, Yang, Guang, Jiang, Jun, Li, Chongyi, Feng, Ruicheng, Zhou, Shangchen, Sun, Wenxiu, Zhu, Qingpeng, Loy, Chen Change, Gu, Jinwei, Wang, Zhen, Li, Daoyu, Zhang, Yuzhe, Peng, Lintao, Chang, Xuyang, Zhang, Yinuo, Bian, Liheng, Li, Bing, Huang, Jie, Yao, Mingde, Xu, Ruikang, Zhao, Feng, Liu, Xiaohui, Xu, Rongjian, Zhang, Zhilu, Wu, Xiaohe, Wang, Ruohao, Li, Junyi, Zuo, Wangmeng, Jia, Zhuang, Lee, DongJae, Jiang, Ting, Wu, Qi, Jiang, Chengzhi, Han, Mingyan, Li, Xinpeng, Lin, Wenjie, Li, Youwei, Fan, Haoqiang, Liu, Shuaicheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Karlinsky, Leonid, editor, Michaeli, Tomer, editor, and Nishino, Ko, editor

Published
2023
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9. MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

Author

Yang, Qingyu, Yang, Guang, Jiang, Jun, Li, Chongyi, Feng, Ruicheng, Zhou, Shangchen, Sun, Wenxiu, Zhu, Qingpeng, Loy, Chen Change, Gu, Jinwei, Wang, Zhen, Li, Daoyu, Zhang, Yuzhe, Peng, Lintao, Chang, Xuyang, Zhang, Yinuo, Wu, Yaqi, Wu, Xun, Fan, Zhihao, Xia, Chengjie, Zhang, Feng, Zeng, Haijin, Feng, Kai, Zhao, Yongqiang, Luong, Hiep Quang, Aelterman, Jan, Truong, Anh Minh, Philips, Wilfried, Liu, Xiaohong, Jia, Jun, Sun, Hanchi, Zhai, Guangtao, Xiao, Longan, Xu, Qihang, Jiang, Ting, Wu, Qi, Jiang, Chengzhi, Han, Mingyan, Li, Xinpeng, Lin, Wenjie, Li, Youwei, Fan, Haoqiang, Liu, Shuaicheng, Wu, Rongyuan, Sun, Lingchen, Yi, Qiaosi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Karlinsky, Leonid, editor, Michaeli, Tomer, editor, and Nishino, Ko, editor

Published
2023
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13. High performance work systems and employee performance: the roles of employee well-being and workplace friendship.

Author

Han, Mingyan, Hu, Enhua, Zhao, Jingyou, and Shan, Hongmei

Subjects
HIGH performance work systems, JOB performance, CAREER development, PSYCHOLOGICAL burnout, SELF-efficacy
Abstract

Promoting a thriving and productive workforce is a core task for human resource development (HRD) researchers and practitioners. Drawing on the job demands-resources model, this study aims to provide a balanced view of how high performance work systems (HPWSs) influence employee performance through different aspects of employee well-being. Data were collected from 346 employees through a three-wave survey in China. Structural equation modelling was used to test the hypotheses. The results reveal that HPWSs positively predict employee performance through psychological empowerment and negatively predict employee performance through emotional exhaustion. Workplace friendship minimises the positive effect of HPWSs on emotional exhaustion and attenuates the indirect effect of HPWSs on employee performance via emotional exhaustion. This study challenges the prevailing idea that HPWSs can always improve employee performance. It informs HRD researchers and practitioners to dialectically assess the impact of HPWSs and include workplace friendship as an intervention measure to reduce the detrimental outcomes of HPWSs and better promote employee development. [ABSTRACT FROM AUTHOR]

Published
2025
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14. Long-Distance/Environment Face Image Enhancement Method for Recognition

Author

Wang, Zhengning, Ma, Shanshan, Han, Mingyan, Hu, Guang, Liu, Shuaicheng, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zhao, Yao, editor, Kong, Xiangwei, editor, and Taubman, David, editor

Published
2017
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16. NTIRE 2023 Image Shadow Removal Challenge Report

Author

Vasluianu, Florin-Alexandru, primary, Seizinger, Tim, additional, Timofte, Radu, additional, Cui, Shuhao, additional, Huang, Junshi, additional, Tian, Shuman, additional, Fan, Mingyuan, additional, Zhang, Jiaqi, additional, Zhu, Li, additional, Wei, Xiaoming, additional, Wei, Xiaolin, additional, Luo, Ziwei, additional, Gustafsson, Fredrik K., additional, Zhao, Zheng, additional, Sjölund, Jens, additional, Schön, Thomas B., additional, Dong, Xiaoyi, additional, Zhang, Xi Sheryl, additional, Li, Chenghua, additional, Leng, Cong, additional, Yeo, Woon-Ha, additional, Oh, Wang-Taek, additional, Lee, Yeo-Reum, additional, Ryu, Han-Cheol, additional, Luo, Jinting, additional, Jiang, Chengzhi, additional, Han, Mingyan, additional, Wu, Qi, additional, Lin, Wenjie, additional, Yu, Lei, additional, Li, Xinpeng, additional, Jiang, Ting, additional, Fan, Haoqiang, additional, Liu, Shuaicheng, additional, Xu, Shuning, additional, Song, Binbin, additional, Chen, Xiangyu, additional, Zhang, Shile, additional, Zhou, Jiantao, additional, Zhang, Zhao, additional, Zhao, Suiyi, additional, Zheng, Huan, additional, Gao, Yangcheng, additional, Wei, Yanyan, additional, Wang, Bo, additional, Ren, Jiahuan, additional, Luo, Yan, additional, Kondo, Yuki, additional, Miyata, Riku, additional, Yasue, Fuma, additional, Naruki, Taito, additional, Ukita, Norimichi, additional, Chang, Hua-En, additional, Yang, Hao-Hsiang, additional, Chen, Yi-Chung, additional, Chiang, Yuan-Chun, additional, Huang, Zhi-Kai, additional, Chen, Wei-Ting, additional, Chen, I-Hsiang, additional, Hsieh, Chia-Hsuan, additional, Kuo, Sy-Yen, additional, Xianwei, Li, additional, Fu, Huiyuan, additional, Liu, Chunlin, additional, Ma, Huadong, additional, Fu, Binglan, additional, He, Huiming, additional, Wang, Mengjia, additional, She, Wenxuan, additional, Liu, Yu, additional, Nathan, Sabari, additional, Kansal, Priya, additional, Zhang, Zhongjian, additional, Yang, Huabin, additional, Wang, Yan, additional, Zhang, Yanru, additional, Phutke, Shruti S., additional, Kulkarni, Ashutosh, additional, Khan, MD Raqib, additional, Murala, Subrahmanyam, additional, Vipparthi, Santosh Kumar, additional, Ye, Heng, additional, Liu, Zixi, additional, Yang, Xingyi, additional, Liu, Songhua, additional, Wu, Yinwei, additional, Jing, Yongcheng, additional, Yu, Qianhao, additional, Zheng, Naishan, additional, Huang, Jie, additional, Long, Yuhang, additional, Yao, Mingde, additional, Zhao, Feng, additional, Zhao, Bowen, additional, Ye, Nan, additional, Shen, Ning, additional, Cao, Yanpeng, additional, Xiong, Tong, additional, Xia, Weiran, additional, Li, Dingwen, additional, and Xia, Shuchen, additional

Published
2023
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17. MIPI 2023 Challenge on RGBW Fusion: Methods and Results

Author

Sun, Qianhui, primary, Yang, Qingyu, additional, Li, Chongyi, additional, Zhou, Shangchen, additional, Feng, Ruicheng, additional, Dai, Yuekun, additional, Sun, Wenxiu, additional, Zhu, Qingpeng, additional, Loy, Chen Change, additional, Gu, Jinwei, additional, Yu, Hongyuan, additional, Liu, Yuqing, additional, Yu, Weichen, additional, Ge, Lin, additional, Zhang, Xiaolin, additional, Jia, Qi, additional, Zhang, Heng, additional, Yin, Xuanwu, additional, Zuo, Kunlong, additional, Wu, Qi, additional, Lin, Wenjie, additional, Jiang, Ting, additional, Jiang, Chengzhi, additional, Han, Mingyan, additional, Li, Xinpeng, additional, Luo, Jinting, additional, Yu, Lei, additional, Fan, Haoqiang, additional, Liu, Shuaicheng, additional, Wang, Kunyu, additional, Cao, Chengzhi, additional, Guan, Yuanshen, additional, Xia, Jiyuan, additional, Xu, Ruikang, additional, Yao, Mingde, additional, and Xiong, Zhiwei, additional

Published
2023
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18. MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results

Author

Dai, Yuekun, primary, Li, Chongyi, additional, Zhou, Shangchen, additional, Feng, Ruicheng, additional, Zhu, Qingpeng, additional, Sun, Qianhui, additional, Sun, Wenxiu, additional, Loy, Chen Change, additional, Gu, Jinwei, additional, Liu, Shuai, additional, Wang, Hao, additional, Feng, Chaoyu, additional, Wang, Luyang, additional, Shao, Guangqi, additional, Zhang, Chenguang, additional, Wang, Xiaotao, additional, Lei, Lei, additional, Zhang, Dafeng, additional, Kong, Xiangyu, additional, Liu, Guanqun, additional, Bai, Mengmeng, additional, Ouyang, Jia, additional, Wang, Xiaobing, additional, Yuan, Jiahui, additional, Li, Xinpeng, additional, Jiang, Chengzhi, additional, Jiang, Ting, additional, Lin, Wenjie, additional, Wu, Qi, additional, Han, Mingyan, additional, Luo, Jinting, additional, Yu, Lei, additional, Fan, Haoqiang, additional, Liu, Shuaicheng, additional, Yan, Bo, additional, Li, Zhuang, additional, Li, Yadong, additional, Wang, Hongbin, additional, Song, Soonyong, additional, Fu, Minghan, additional, Khan, Rayyan Azam, additional, Wu, Fangxiang, additional, Zhang, Zhao, additional, Zhao, Suiyi, additional, Zheng, Huan, additional, Gao, Yangcheng, additional, Wei, Yanyan, additional, Ren, Jiahuan, additional, Wang, Bo, additional, Luo, Yan, additional, Gao, Shuaibo, additional, Wu, Wenhui, additional, Kang, Sicong, additional, Akalwadi, Nikhil, additional, Raichur, Ankit, additional, Patil, Vinod, additional, G, Allabakash, additional, A, Swaroop, additional, Joshi, Amogh, additional, Desai, Chaitra, additional, Tabib, Ramesh Ashok, additional, Patil, Ujwala, additional, Sicheng Li, Uma Mudenagudi, additional, Zhu, Ruoxi, additional, Lian, Jiazheng, additional, Xu, Shusong, additional, Liu, Zihao, additional, Nathan, Sabari, additional, and Kansal, Priya, additional

Published
2023
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19. MIPI 2023 Challenge on RGBW Remosaic: Methods and Results

Author

Sun, Qianhui, primary, Yang, Qingyu, additional, Li, Chongyi, additional, Zhou, Shangchen, additional, Feng, Ruicheng, additional, Dai, Yuekun, additional, Sun, Wenxiu, additional, Zhu, Qingpeng, additional, Loy, Chen Change, additional, Gu, Jinwei, additional, Liu, Yuqing, additional, Yu, Hongyuan, additional, Yu, Weichen, additional, Dong, Zhen, additional, Han, Binnan, additional, Jia, Qi, additional, Yin, Xuanwu, additional, Zuo, Kunlong, additional, Wu, Yaqi, additional, Fan, Zhihao, additional, Meng, Fanqing, additional, Wu, Xun, additional, Zhang, Jiawei, additional, Zhang, Feng, additional, Han, Mingyan, additional, Luo, Jinting, additional, Wu, Qi, additional, Jiang, Ting, additional, Jiang, Chengzhi, additional, Lin, Wenjie, additional, Li, Xinpeng, additional, Yu, Lei, additional, Fan, Haoqiang, additional, and Liu, Shuaicheng, additional

Published
2023
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20. NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Author

Li, Yawei, primary, Zhang, Yulun, additional, Timofte, Radu, additional, Van Gool, Luc, additional, Yu, Lei, additional, Li, Youwei, additional, Li, Xinpeng, additional, Jiang, Ting, additional, Wu, Qi, additional, Han, Mingyan, additional, Lin, Wenjie, additional, Jiang, Chengzhi, additional, Luo, Jinting, additional, Fan, Haoqiang, additional, Liu, Shuaicheng, additional, Wang, Yucong, additional, Cai, Minjie, additional, Li, Mingxi, additional, Zhang, Yuhang, additional, Fan, Xian-Jun, additional, Sheng, Yankai, additional, Mao, Yanyu, additional, Zhang, Nihao, additional, Wang, Qian, additional, Zheng, Mingjun, additional, Sun, Long, additional, Pan, Jinshan, additional, Dong, Jiangxin, additional, Tang, Jinhui, additional, Yang, Zhongbao, additional, Wang, Yan, additional, Pan, Erlin, additional, Cai, Qixuan, additional, Dai, Xinan, additional, Zhussip, Magauiya, additional, Kalyazin, Nikolay, additional, Vyal, Dmitry, additional, Zou, Xueyi, additional, Yan, Youliang, additional, Chung, Heaseo, additional, Zhang, Jin, additional, Yu, Gaocheng, additional, Zhang, Feng, additional, Wang, Hongbin, additional, Liao, Bohao, additional, Du, Zhibo, additional, Wu, Yu-Liang, additional, Shi, Gege, additional, Peng, Long, additional, Wang, Yang, additional, Cao, Yang, additional, Zha, Zhengjun, additional, Huang, Zhi-Kai, additional, Chen, Yi-Chung, additional, Chiang, Yuan-Chun, additional, Yang, Hao-Hsiang, additional, Chen, Wei-Ting, additional, Chang, Hua-En, additional, Chen, I-Hsiang, additional, Hsieh, Chia-Hsuan, additional, Kuo, Sy-Yen, additional, Liu, Xin, additional, Pan, Jiahao, additional, Yu, Hongyuan, additional, Yu, Weichen, additional, Ge, Lin, additional, Dong, Jiahua, additional, Zou, Yajun, additional, Wu, Zhuoyuan, additional, Han, Binnan, additional, Zhang, Xiaolin, additional, Zhang, Heng, additional, Yin, Xuanwu, additional, Zuo, Kunlong, additional, Deng, Weijian, additional, Yuan, Hongjie, additional, Lu, Zengtong, additional, Ouyang, Mingyu, additional, Ma, Wenzhuo, additional, Liu, Nian, additional, Zheng, Hanyou, additional, Zhang, Yuantong, additional, Zhang, Junxi, additional, Chen, Zhenzhong, additional, Gendy, Garas, additional, Sabor, Nabil, additional, Hou, Jingchao, additional, He, Guanghui, additional, Zhu, Yurui, additional, Wang, Xi, additional, Fu, Xueyang, additional, Zha, Zheng-Jun, additional, Yin, Daheng, additional, Liu, Mengyang, additional, Chen, Baijun, additional, Li, Ao, additional, Luo, Lei, additional, Jin, Kangjun, additional, Zhu, Ce, additional, Zhang, Xiaoming, additional, Xie, Chengxing, additional, Li, Linze, additional, Meng, Haiteng, additional, Zhang, Tianlin, additional, Li, Tianrui, additional, Zhao, Xiaole, additional, Zhang, Zhao, additional, Li, Baiang, additional, Zheng, Huan, additional, Zhao, Suiyi, additional, Gao, Yangcheng, additional, Ren, Jiahuan, additional, Hu, Kang, additional, Shi, Jingpeng, additional, Wu, Zhijian, additional, Huang, Dingjiang, additional, Zhu, Jinchen, additional, Li, Hui, additional, Xv, Qianru, additional, Liu, Tianle, additional, Weng, Shizhuang, additional, Wu, Gang, additional, Jiang, Junpeng, additional, Liu, Xianming, additional, Jiang, Junjun, additional, Zhang, Mingjian, additional, Hu, Jing, additional, Wu, Chengxu, additional, Fan, Qinrui, additional, Feng, Chengming, additional, Luo, Ziwei, additional, Hu, Shu, additional, Lyu, Siwei, additional, Wu, Xi, additional, and Wang, Xin, additional

Published
2023
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21. NTIRE 2023 Challenge on Image Denoising: Methods and Results

Author

Li, Yawei, primary, Zhang, Yulun, additional, Timofte, Radu, additional, Gool, Luc Van, additional, Tu, Zhijun, additional, Du, Kunpeng, additional, Wang, Hailing, additional, Chen, Hanting, additional, Li, Wei, additional, Wang, Xiaofei, additional, Hu, Jie, additional, Wang, Yunhe, additional, Kong, Xiangyu, additional, Wu, Jinlong, additional, Zhang, Dafeng, additional, Zhang, Jianxing, additional, Liu, Shuai, additional, Bai, Furui, additional, Feng, Chaoyu, additional, Wang, Hao, additional, Zhang, Yuqian, additional, Shao, Guangqi, additional, Wang, Xiaotao, additional, Lei, Lei, additional, Xu, Rongjian, additional, Zhang, Zhilu, additional, Chen, Yunjin, additional, Ren, Dongwei, additional, Zuo, Wangmeng, additional, Wu, Qi, additional, Han, Mingyan, additional, Cheng, Shen, additional, Li, Haipeng, additional, Jiang, Ting, additional, Jiang, Chengzhi, additional, Li, Xinpeng, additional, Luo, Jinting, additional, Lin, Wenjie, additional, Yu, Lei, additional, Fan, Haoqiang, additional, Liu, Shuaicheng, additional, Arora, Aditya, additional, Zamir, Syed Waqas, additional, Vazquez-Corral, Javier, additional, Derpanis, Konstantinos G., additional, Brown, Michael S., additional, Li, Hao, additional, Zhao, Zhihao, additional, Pan, Jinshan, additional, Dong, Jiangxin, additional, Tang, Jinhui, additional, Yang, Bo, additional, Chen, Jingxiang, additional, Li, Chenghua, additional, Zhang, Xi, additional, Zhang, Zhao, additional, Ren, Jiahuan, additional, Ji, Zhicheng, additional, Miao, Kang, additional, Zhao, Suiyi, additional, Zheng, Huan, additional, Wei, YanYan, additional, Liu, Kangliang, additional, Du, Xiangcheng, additional, Liu, Sijie, additional, Zheng, Yingbin, additional, Wu, Xingjiao, additional, Jin, Cheng, additional, Irny, Rajeev, additional, Koundinya, Sriharsha, additional, Kamath, Vighnesh, additional, Khandelwal, Gaurav, additional, Khowaja, Sunder Ali, additional, Yoon, Jiseok, additional, Lee, Ik Hyun, additional, Chen, Shijie, additional, Zhao, Chengqiang, additional, Yang, Huabin, additional, Zhang, Zhongjian, additional, Huang, Junjia, additional, and Zhang, Yanru, additional

Published
2023
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23. Fueling employee proactive behavior: The distinctive role of Chinese enterprise union practices from a conservation of resources perspective.

Author

Han, Mingyan, Zhang, Maolong, Hu, Enhua, and Shan, Hongmei

Subjects
STRUCTURAL equation modeling, ORGANIZATIONAL change, AFFECT (Psychology), BUSINESS enterprises
Abstract

Given its importance to organizational development, interest in exploring the antecedents of employee proactive behavior has grown exponentially. Moving beyond the traditional managerial mindset, we highlight the role of Chinese enterprise union practices in fueling proactive behavior. Drawing on the conservation of resources theory, we argue that Chinese enterprise union practices can exert a downward influence on proactive behavior, and critically, this cross‐level effect can be accounted for through perceived insider status and affective commitment. Multilevel structural equation modeling based on a sample of 433 employees from 43 enterprises supported the hypotheses. This study responds to previous calls for action to commence a multidisciplinary perspective to explore predictors of proactive behavior, and contributes to a deeper understanding of the distinctive characteristics and unique effects of trade unions in China. It also presents implications for broader union research and workplace partnership initiatives aimed at promoting better labor relationships. [ABSTRACT FROM AUTHOR]

Published
2024
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26. NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Author

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

Published
2022
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28. NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results

Author

Perez-Pellitero, Eduardo, primary, Catley-Chandar, Sibi, additional, Leonardis, Ales, additional, Timofte, Radu, additional, Wang, Xian, additional, Li, Yong, additional, Wang, Tao, additional, Song, Fenglong, additional, Liu, Zhen, additional, Lin, Wenjie, additional, Li, Xinpeng, additional, Rao, Qing, additional, Jiang, Ting, additional, Han, Mingyan, additional, Fan, Haoqiang, additional, Sun, Jian, additional, Liu, Shuaicheng, additional, Chen, Xiangyu, additional, Liu, Yihao, additional, Zhang, Zhengwen, additional, Qiao, Yu, additional, Dong, Chao, additional, Lyn Chee, Evelyn Yi, additional, Shen, Shanlan, additional, Duan, Yubo, additional, Chen, Guannan, additional, Sun, Mengdi, additional, Gao, Yan, additional, Zhang, Lijie, additional, A, Akhil K, additional, V, Jiji C, additional, Sharif, S M A, additional, Naqvi, Rizwan Ali, additional, Biswas, Mithun, additional, Kim, Sungjun, additional, Xia, Chenjie, additional, Zhao, Bowen, additional, Ye, Zhangyu, additional, Lu, Xiwen, additional, Cao, Yanpeng, additional, Yang, Jiangxin, additional, Cao, Yanlong, additional, S, Green Rosh K, additional, Deepak Lomte, Sachin, additional, Krishnan, Nikhil, additional, and Pawan Prasad, B H, additional

Published
2021
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30. A novel oral film of carbomer/Poly(vinyl alcohol)/hydroxypropyl cellulose triple polymer loaded with Periplaneta Americana extractfor enhancing the oral ulcer treatment

Author

Liu, Yuxin, Ji, Muse, Zou, Shiyan, Mu, YinLing, Pan, Wanbing, Liu, Hongbing, Li, Xiqian, Han, Mingyan, Yin, Tian, and Zhang, Yu

Abstract

The liquid formulation of Periplaneta Americana extract(PAE) demonstrates significant efficacy in the treatment of oral ulcers. However, its limited ability to adhere to the oral cavity leads to a diminished therapeutic effect. This study aims to address this limitation by developing a Periplaneta Americana extractoral film (PAEOF) designed to extend the PAE ‘s duration of action through enhanced adhesion. Utilizing a one-factor analysis approach, the optimal oral film incorporating Periplaneta Americana extracts, based on polyvinyl alcohol, hydroxypropyl cellulose, and carbomer, was developed. The resulting oral film exhibited an elongation at break of 548.86 ± 279.78 % and an adhesive force of 2.34 ± 0.47 N/cm2. Furthermore, the mucoadhesion time of PAEOF was quantified at 89.00 ± 2.83 min, demonstrating favorable bioadhesion properties. Pharmacodynamic studies in Sprague-Dawley rats revealed that the high PAEOF group, containing 20 % Periplaneta Americana extract, exhibited the most significant healing effect. After 5 days of administration, ulcer areas decreased from 52.43 ± 10.53 mm2to 16.92 ± 2.33 mm2, and ulcer burning points decreased from 10.00 ± 0.00 to 4.00 ± 1.46. Additionally, levels of various biomarkers including SOD (superoxide dismutase), TNF-α (tumor necrosis factor alpha), IL-6 (interleukin 6), IL-2 (interleukin 2), and IFN-γ (interferon gamma) in the PAEOF-treated groups approached those found in the healthy group, indicating a satisfactory therapeutic effect. In conclusion, PAEOF presents a novel approach for the treatment of oral ulcer diseases, offering enhanced adhesion and prolonged therapeutic efficacy.

Published
2024
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