Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Meisong Zheng"'
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 3:308-319
Current face forgery techniques can generate high-fidelity fake faces with extremely low labor and time costs. As a result, face forgery detection becomes an important research topic to prevent technology abuse. In this paper, we present an inconsist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18f7cb78b068cd83aaa93edcb7ba2e81
https://doi.org/10.1109/tbiom.2021.3086109
https://doi.org/10.1109/tbiom.2021.3086109
Autor:
Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Vyal Dmitry, Shakarim Soltanayev, Chervontsev Sergey, Zhussip Magauiya, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This challenge incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f5f8ab4d1d4b4ea19e5d8a6671cbeb6
Publikováno v:
2016 6th International Conference on Electronics Information and Emergency Communication (ICEIEC).
Hardware overhead and system reliability has always been in a dilemma in the world of FPGA designing. This paper provides a hardware overhead free dual modular redundancy (DMR) voter scheme using the abundant and unused carry chains in Xilinx FPGAs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0010ac807121d462b12714ca6e318c69
https://doi.org/10.1109/iceiec.2016.7589699
https://doi.org/10.1109/iceiec.2016.7589699
Publikováno v:
2015 First International Conference on Reliability Systems Engineering (ICRSE).
As device size shrinks, SRAM-based FPGAs are increasingly prone to be affected by single-event upsets (SEUs). SEU mitigation techniques for FPGAs are mostly expensive in terms of area and power costs. This paper proposes a new design for FPGA hardeni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd954f74773d388761e5eedd1498a38
https://doi.org/10.1109/icrse.2015.7366414
https://doi.org/10.1109/icrse.2015.7366414
Publikováno v:
2015 IEEE 5th International Conference on Electronics Information and Emergency Communication.
Code compression is traditionally used to reduce the code size by compressing the codes with higher static frequency. A novel clustered multi-dictionary code compression method is proposed to effectively reduce the memory size which program code stor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1b64b1f00b8c910d7114cd47b89049
https://doi.org/10.1109/iceiec.2015.7284474
https://doi.org/10.1109/iceiec.2015.7284474
Publikováno v:
The 27th Chinese Control and Decision Conference (2015 CCDC).
This paper present a novel code compression method using classified multi-dictionary, which significantly improves the compression efficiency without introducing any decompression penalty. Our classified multi-dictionary code compression method separ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a88bc3345c8ac23e96c308d86b1efa9
https://doi.org/10.1109/ccdc.2015.7162350
https://doi.org/10.1109/ccdc.2015.7162350
Publikováno v:
CCECE
A novel method using multi-dictionary and pattern blocks is proposed for code compression to effectively reduce the memory size which program code stored. According to the repeat times of different pattern blocks and non-block codes, the code set is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41e2de49d7de83d2a70dcdd5490c7bcd
https://doi.org/10.1109/ccece.2015.7129303
https://doi.org/10.1109/ccece.2015.7129303