×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
北京航空航天大学 [15]
内容类型
会议论文 [9]
期刊论文 [6]
发表日期
2019 [3]
2018 [10]
2017 [2]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共15条,第1-10条
帮助
限定条件
专题:北京航空航天大学
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Thermal Infrared Pedestrian Segmentation Based on Conditional GAN
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 页码: 6007-6021
作者:
Wang, Peng
;
Bai, Xiangzhi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Thermal infrared image
pedestrian segmentation
generative adversarial network
ResAttr-GAN: Unpaired Deep Residual Attributes Learning for Multi-Domain Face Image Translation
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 132594-132608
作者:
Tao, Rentuo
;
Li, Ziqiang
;
Tao, Renshuai
;
Li, Bin
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Facial attributes edit
image-to-image translation
generative adversarial network
residual attributes learning
Makeup Removal via Bidirectional Tunable De-Makeup Network
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 页码: 2750-2761
作者:
Cao, Chong
;
Lu, Feng
;
Li, Chen
;
Lin, Stephen
;
Shen, Xukun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Face
Task analysis
Training
Image synthesis
Facial features
Tuning
Gallium nitride
Makeup removal
generative adversarial learning
bidirectional network
Learning robust features by extended generative stochastic networks
期刊论文
International Journal of Modeling, Simulation, and Scientific Computing, 2018, 卷号: 9
作者:
Teng, D.
;
Song, X.
;
Gong, G.
;
Zhou, J.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Deep learning
Education
Learning systems
Neural networks
Object recognition
Stochastic systems
adversarial examples
Feed-forward network
Lateral connections
Overfitting
Random noise
State-of-the-art performance
Stochastic networks
Deep neural networks
Facial Expression Synthesis by U-Net Conditional Generative Adversarial Networks
会议论文
ICMR '18: PROCEEDINGS OF THE 2018 ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, 2018-01-01
作者:
Wang, Xueping
;
Li, Weixin
;
Mu, Guodong
;
Huang, Di
;
Wang, Yunhong
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Facial expression synthesis
generative adversarial network (GAN)
identity preserving
Self Augmented Deep Generative Network for Blind Image Deblurring
会议论文
OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY V, 2018-01-01
作者:
Peng, Ke
;
Jiang, Zhiguo
;
Zhang, Haopeng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Image deblurring
self-augmented
Generative Adversarial Networks
conditional GAN
PSGAN: A GENERATIVE ADVERSARIAL NETWORK FOR REMOTE SENSING IMAGE PAN-SHARPENING
会议论文
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018-01-01
作者:
Liu, Xiangyu
;
Wang, Yunhong
;
Liu, Qingjie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Image fusion
pan-sharpening
GAN
deep learning
remote sensing
Beautygan: Instance-level facial makeup transfer with deep generative adversarial network
会议论文
MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, 2018-10-22
作者:
Li, T.
;
Liu, S.
;
Qian, R.
;
Yan, Q.
;
Lin, L.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Translation (languages)
Adversarial learning
Adversarial networks
Facial makeup transfer
High resolution
Local facial regions
Objective functions
Transfer method
Transfer problems
Cosmetics
Distribution Distance Minimization for Unsupervised User Identity Linkage
会议论文
CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2018-01-01
作者:
Li, Chaozhuo
;
Wang, Senzhang
;
Yu, Philip S.
;
Zheng, Lei
;
Zhang, Xiaoming
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
User Identity Linkage
Earth Mover's Distance
Generative Adversarial Network
Automatic makeup based on generative adversarial nets
会议论文
ACM International Conference Proceeding Series
作者:
Bao, R.
;
Yu, H.
;
Liu, S.
;
Li, B.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Deep learning
Face recognition
Network layers
Adversarial networks
Automatic makeup
Face image analysis
Human faces
Interactive entertainment
Multiple data sets
Simultaneous training
State-of-art methods
Cosmetics
©版权所有 ©2017 CSpace - Powered by
CSpace