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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：34/10  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12287-12303
作者:  Zhang, Hongwen;  Tian, Yating;  Zhang, Yuxiang;  Li, Mengcheng;  An, Liang;  Sun, Zhenan;  Liu, Yebin
收藏  |  浏览/下载：66/0  |  提交时间：2023/11/16
Expressive human mesh recovery  full-body motion capture  mesh alignment feedback  monocular 3D reconstruction  
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载：212/54  |  提交时间：2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：390/85  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Learning 3D Human Shape and Pose from Dense Body Parts 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Zhang, Hongwen;  Cao, Jie;  Lu, Guo;  Ouyang, Wanli;  Sun, Zhenan
Adobe PDF(4759Kb)  |  收藏  |  浏览/下载：183/45  |  提交时间：2021/06/16
3D human shape and pose estimation  decompose-and-aggregate network  position-aided rotation feature refinement  part-based dropout  
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
Adobe PDF(10250Kb)  |  收藏  |  浏览/下载：770/290  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution  
Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 987-1001
作者:  Xing, Junliang;  Niu, Zhiheng;  Huang, Junshi;  Hu, Weiming;  Zhou, Xi;  Yan, Shuicheng
浏览  |  Adobe PDF(8206Kb)  |  收藏  |  浏览/下载：383/99  |  提交时间：2018/01/04
Face Alignment  Dictionary Learning  Sparse Representation  Appearance-shape Modeling  
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
Adobe PDF(2995Kb)  |  收藏  |  浏览/下载：818/296  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 2, 页码: 209-226
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang;  Wang, Xiaogang;  Tan, Tieniu
浏览  |  Adobe PDF(2447Kb)  |  收藏  |  浏览/下载：1108/602  |  提交时间：2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 1, 页码: 172-188
作者:  Hu, Weiming;  Gao, Jin;  Xing, Junliang;  Zhang, Chao;  Maybank, Stephen;  Weiming Hu
浏览  |  Adobe PDF(7133Kb)  |  收藏  |  浏览/下载：429/132  |  提交时间：2016/04/13
Discriminant Tracking  Tensor Samples  Semi-supervised Learning  Graph Embedding Space