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浏览/检索结果: 共10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：5101520253035404550556065707580859095100   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 Learning multi-view manifold for single image based modeling 会议论文 COMPUTERS & GRAPHICS-UK, 2019-08-01 作者:  Cui, Jiahao;  Li, Shuai;  Xia, Qing;  Hao, Aimin;  Qin, Hong 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Multi-view  Generative network  Manifold learning  3D generation   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 multi-view manifold for single image based modeling 期刊论文 COMPUTERS & GRAPHICS-UK, 2019, 卷号: 82, 页码: 275-285 作者:  Cui, Jiahao;  Li, Shuai;  Xia, Qing;  Hao, Aimin;  Qin, Hong 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Multi-view  Generative network  Manifold learning  3D generation   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   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   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   NEGAN:Network Embedding based on Generative Adversarial Networks 会议论文 Proceedings of the International Joint Conference on Neural Networks 作者:  Ban, Y.;  Pu, J.;  Chen, Y.;  Wang, Y. 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Data mining  Population dynamics  Topology  Adversarial networks  Community detection  Content information  Graph topology  Network embedding  Real-world networks  Unsupervised network  unsupervised representation learning  Classification (of information)   Unsupervised Learning For Cell-level Visual Representation with Generative Adversarial Networks 期刊论文 IEEE Journal of Biomedical and Health Informatics, 2018 作者:  Hu, B.;  Tang, Y.;  Chang, E.I.;  Fan, Y.;  Lai, M. 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Bone  Cells  Classification (of information)  Computer architecture  Feature extraction  Flow visualization  Gallium nitride  III-V semiconductors  Image segmentation  Medical imaging  Network architecture  Unsupervised learning  Visualization  Adversarial networks  Biomedical imaging  Cellular components  Nuclear morphology  Nuclei segmentation  representation learning  Unsupervised classification  Visual representations  Cytology