Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Peiran Ren"'
Publikováno v:
The Visual Computer. 38:3231-3242
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 12:1-21
Videos are well-received methods for storytellers to communicate various narratives. To further engage viewers, we introduce a novel visual medium where data visualizations are embedded into videos to present data insights. However, creating such dat
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::375e7363ffb2c0ce1526d325ba30bdfa
https://doi.org/10.1007/978-3-031-25069-9_47
https://doi.org/10.1007/978-3-031-25069-9_47
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:3438-3450
There is an increasing demand for interior design and decorating. The main challenges are where to put the objects and how to put them plausibly in the given domain. In this article, we propose an automatic method for decorating the planes in a given
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).
Autor:
Wen Gao, Zhanning Gao, Pan Wang, Lingbo Yang, Xiansheng Hua, Peiran Ren, Siwei Ma, Xinfeng Zhang, Shanshe Wang, Chang Liu
Publikováno v:
IEEE Transactions on Image Processing. 30:2422-2435
Human pose transfer (HPT) is an emerging research topic with huge potential in fashion design, media production, online advertising and virtual reality. For these applications, the visual realism of fine-grained appearance details is crucial for prod
Publikováno v:
Journal of Visualization. 23:707-720
Short-form videos are an increasingly prevalent medium for storytelling in journalism and marketing, of which information can be greatly enhanced by animated data visualizations. However, there is no prior research that systematically investigates ho
Autor:
Chi Wang, Weiwei Xu, Xuansong Xie, Peiran Ren, Xian-Sheng Hua, Miaomiao Cui, Yunke Zhang, Hujun Bao, Qixing Huang
Publikováno v:
ACM Multimedia
This paper proposes a novel deep learning-based video object matting method that can achieve temporally coherent matting results. Its key component is an attention-based temporal aggregation module that maximizes image matting networks' strength for
Autor:
Ian Dixon, Zhanning Gao, Zhiqi Shen, Chunyan Miao, Peiran Ren, Pan Wang, Han Yu, Xuansong Xie, Lizhen Cui, Chang Liu, Yingxue Yu
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Autor:
Chunyan Miao, Zhanning Gao, Zhiqi Shen, Xuansong Xie, Lizhen Cui, Boyang Li, Peiran Ren, Han Yu, Chang Liu
Publikováno v:
CVPR
The existence of noisy labels in real-world data negatively impacts the performance of deep learning models. Although much research effort has been devoted to improving robustness to noisy labels in classification tasks, the problem of noisy labels i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a9541a501c23c527b7335c6553e7cf
http://arxiv.org/abs/2103.16047
http://arxiv.org/abs/2103.16047