Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Changlei Lu"'
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Autor:
Wanyi Zhuang, Changtao Miao, Shan He, Hefei Ling, Yutong Yao, Wei Wang, Zhiliang Xu, Xiaoyan Wu, Baoying Chen, Guosheng Zhang, Yuezun Li, Han Chen, Shenghai Luo, Hongxing Fan, Qi Li, Boyuan Liu, Yanjie Hu, Zhenan Sun, Junrui Huang, Jing Dong, Changlei Lu, Bo Peng, Siwei Lyu
Publikováno v:
IJCB
This paper presents a summary of the DeepFake Game Competition (DFGC) 20211. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the same time, DeepFake detection methods are also improvi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d41c39fc8a899cc1952a44841701795
http://arxiv.org/abs/2106.01217
http://arxiv.org/abs/2106.01217
Autor:
Liming Jiang, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Zhengkui Guo, Changlei Lu, Ganchao Tan, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia
Publikováno v:
Web of Science
This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection. The challenge employs the DeeperForensics-1.0 dataset, one of the most extensive publicly available real-world face forgery detection d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b907cf72611c92cfe72bbfa23cd7f64
http://arxiv.org/abs/2102.09471
http://arxiv.org/abs/2102.09471
Publikováno v:
ACM TUR-C
Federated learning provides a framework in which many participants join together to train a deep learning model. Although data is not directly transmitted in federated learning in order to protect privacy, recent researches show that transmitted para