Bioadhesive and electroactive hydrogels for flexible bioelectronics and supercapacitors enabled by a redox-active core–shell PEDOT@PZIF-71 system

Autor: Donglin Gan, Ziqiang Huang, Xiao Wang, Dejia Xu, Shuquan Rao, Kefeng Wang, Fuzeng Ren, Lili Jiang, Chaoming Xie, Xiong Lu

Publikováno v: Materials Horizons.

Core–shell PEDOT@PZIF-71 nanoparticles as conductive nanofillers were homogeneously incorporated into a hydrophilic network to form conductive hydrogels for bio-electronics and bio-capacitors.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::033ff8b622a7b67d09371b1cc5f236d9
https://doi.org/10.1039/d2mh01234k

ReCoRo: Re gion- Co ntrollable Ro bust Light Enhancement with User-Specified Imprecise Masks

Autor: Dejia Xu, Hayk Poghosyan, Shant Navasardyan, Yifan Jiang, Humphrey Shi, Zhangyang Wang

Publikováno v: Proceedings of the 30th ACM International Conference on Multimedia.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7af8fb1054a80deec1a522dba5cafd18
https://doi.org/10.1145/3503161.3547813

Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning

Autor: Jiaying Liu, Shiqi Wang, Wenhan Yang, Dejia Xu, Xiaodong Wang

Publikováno v: AAAI

Data-driven rain streak removal methods, which most of rely on synthesized paired data, usually come across the generalization problem when being applied in real cases. In this paper, we propose a novel deep-learning based rain streak removal method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f71e65108411227553c96f07d03640a
https://doi.org/10.1609/aaai.v34i07.6954

Unified Implicit Neural Stylization

Autor: Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031197833

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::748f3855486d52aeca9b56b0b55d7fd1
https://doi.org/10.1007/978-3-031-19784-0_37

NTIRE 2020 challenge on image demoireing: Methods and results

Autor: Manri Cheon, Jechang Jeong, Bolun Zheng, Radu Timofte, Ziyao Zong, P.S. Hrishikesh, Xiaohong Liu, Byungyeon Kang, Florian Lemarchand, Sangmin Kim, Jun Chen, Dejia Xu, Gregory G. Slabaugh, Yuan Xie, Nan Nan, Ashish Sinha, Cuihua Li, Ming Hong, Jisu Kim, Xiaotong Luo, Yihao Chu, Densen Puthussery, Erwan Nogues, Hyungjoon Nam, Sung-Jun Yoon, Maxime Pelcat, Jian Yang, Sabari Nathan, Shuai Liu, Yanyun Qu, Chenghua Li, S. Mohamed Mansoor Roomi, Qingyan Sun, Jiangtao Zhang, Shanxin Yuan, Zhenyong Fu, Linhui Dai, Xi Cheng, Hyunkook Park, An Gia Vien, Xuan Zhao, Ales Leonardis, C.V. Jiji, Junwoo Lee, Chul Lee, M. Parisa Beham

Publikováno v: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Jun 2020, Seattle, United States. pp.1882-1893, ⟨10.1109/CVPRW50498.2020.00238⟩
CVPR Workshops

International audience; This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8939a7ea345ebf9f78a12023c7387e
https://hal.science/hal-03102720