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GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：33/10  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 5, 页码: 1024 - 1037
作者:  He, Ran;  Cao, Jie;  Song, Lingxiao;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4148Kb)  |  收藏  |  浏览/下载：167/30  |  提交时间：2021/06/16
heterogeneous face recognition  near infrared-visible matching  face completion  face inpainting  
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(10250Kb)  |  收藏  |  浏览/下载：769/290  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution  
Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 2, 页码: 332-351
作者:  Sun, Yunlian;  Zhang, Man;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(2995Kb)  |  收藏  |  浏览/下载：816/295  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 12, 页码: 2554-2560
作者:  Li, Bing;  Yuan, Chunfeng;  Xiong, Weihua;  Hu, Weiming;  Peng, Houwen;  Ding, Xinmiao;  Maybank, Steve
浏览  |  Adobe PDF(352Kb)  |  收藏  |  浏览/下载：395/90  |  提交时间：2018/01/02
Multi-instance Learning  Multi-view  Sparse Representation  Dictionary Learning  
Salient Object Detection via Structured Matrix Decomposition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 4, 页码: 818-832
作者:  Peng, Houwen;  Li, Bing;  Ling, Haibin;  Hu, Weiming;  Xiong, Weihua;  Maybank, Stephen J.
Adobe PDF(3573Kb)  |  收藏  |  浏览/下载：453/174  |  提交时间：2017/05/05
Salient Object Detection  Matrix Decomposition  Low Rank  Structured Sparsity  Subspace Learning  
A Fast and Accurate Unconstrained Face Detector 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 卷号: 38, 期号: 2, 页码: 211-223
作者:  Liao, Shengcai;  Jain, Anil K.;  Li, Stan Z.
Adobe PDF(19087Kb)  |  收藏  |  浏览/下载：308/54  |  提交时间：2016/06/14
Unconstrained Face Detection  Normalized Pixel Difference  Deep Quadratic Tree  Adaboost  Cascade Classifier  
Robust Structured Subspace Learning for Data Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 卷号: 37, 期号: 10, 页码: 2085-2098
作者:  Li, Zechao;  Liu, Jing;  Tang, Jinhui;  Lu, Hanqing
浏览  |  Adobe PDF(525Kb)  |  收藏  |  浏览/下载：933/409  |  提交时间：2015/10/13
Data Representation  Latent Subspace  Image Understanding  Feature Learning  Structure Preserving  
Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 卷号: 37, 期号: 4, 页码: 816-833
作者:  Hu, Weiming;  Li, Wei;  Zhang, Xiaoqin;  Maybank, Stephen
Adobe PDF(1758Kb)  |  收藏  |  浏览/下载：312/78  |  提交时间：2015/09/21
Visual Object Tracking  Tracking Multi-objects Under Occlusions  Multi-feature Joint Sparse Representation  
Learning Human Actions by Combining Global Dynamics and Local Appearance 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2014, 卷号: 36, 期号: 12, 页码: 2466-2482
作者:  Luo, Guan;  Yang, Shuang;  Tian, Guodong;  Yuan, Chunfeng;  Hu, Weiming;  Maybank, Stephen J.;  weiming hu
Adobe PDF(1426Kb)  |  收藏  |  浏览/下载：328/69  |  提交时间：2015/08/12
Action Recognition  Linear Dynamical System  Local Spatio-temporal Feature  Non-vector Descriptor  Distance Learning