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Tangent Fisher Vector on Matrix Manifolds for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 3052-3064
作者:  Luo, Guan;  Wei, Jiutong;  Hu, Weiming;  Maybank, Stephen J.
浏览  |  Adobe PDF(2396Kb)  |  收藏  |  浏览/下载：332/75  |  提交时间：2020/04/07
Manifolds  Video sequences  Observability  Videos  Covariance matrices  Kernel  Computational modeling  Action recognition  Fisher vector  Grassmann manifold  Hankel matrix  matrix manifold  
Mask SSD: An Effective Single-Stage Approach to Object Instance Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2078-2093
作者:  Zhang, Hui;  Tian, Yonglin;  Wang, Kunfeng;  Zhang, Wensheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(4983Kb)  |  收藏  |  浏览/下载：346/154  |  提交时间：2020/03/30
Object detection  instance segmentation  feedback features  single-shot detector  
Multi-View Image Classification With Visual, Semantic and View Consistency 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 617-627
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
收藏  |  浏览/下载：248/0  |  提交时间：2020/03/30
Semantics  Visualization  Correlation  Training  Internet  Encoding  Image representation  Multi-view learning  image classification  visual consistency  semantic consistency  view consistency  
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031
作者:  Zhang, Yuyang;  Xu, Shibiao;  Wu, Baoyuan;  Shi, Jian;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(8221Kb)  |  收藏  |  浏览/下载：276/65  |  提交时间：2020/08/03
Estimation  Training  Feature extraction  Geometry  Computer vision  Cameras  Unsupervised learning  Unsupervised learning  DenseDepthNet  multi-view geometry constraint  depth consistency  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：309/69  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Focal Boundary Guided Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2813-2824
作者:  Wang, Yupei;  Zhao, Xin;  Hu, Xuecai;  Li, Yin;  Huang, Kaiqi
浏览  |  Adobe PDF(3275Kb)  |  收藏  |  浏览/下载：552/259  |  提交时间：2019/04/19
Visual saliency detection  salient object segmentation  boundary detection  deep learning  
Conditional High-Order Boltzmann Machines for Supervised Relation Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 9, 页码: 4297-4310
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(4175Kb)  |  收藏  |  浏览/下载：429/155  |  提交时间：2017/06/19
Deep Learning  High-order Boltzmann Machine  Relation Learning  Face Verification  Action Similarity Labeling  
Data-Driven Synthesis of Cartoon Faces Using Different Styles 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 1, 页码: 464-478
作者:  Zhang, Yong;  Dong, Weiming;  Ma, Chongyang;  Mei, Xing;  Li, Ke;  Huang, Feiyue;  Hu, Bao-Gang;  Deussen, Oliver
浏览  |  Adobe PDF(6453Kb)  |  收藏  |  浏览/下载：507/146  |  提交时间：2016/10/25
Cartoon Face  Face Stylization  Data-driven Synthesis  Component-based Modeling  
Fast Localization in Large-Scale Environments Using Supervised Indexing of Binary Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 1, 页码: 343-358
作者:  Feng, Youji;  Fan, Lixin;  Wu, Yihong
浏览  |  Adobe PDF(5024Kb)  |  收藏  |  浏览/下载：386/100  |  提交时间：2016/03/19
Image Based Localization  Binary Feature  Approximate Nearest Neighbor Search  
Horror Image Recognition Based on Context-Aware Multi-Instance Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5193-5205
作者:  Li, Bing;  Xiong, Weihua;  Wu, Ou;  Hu, Weiming;  Maybank, Stephen;  Yan, Shuicheng;  Bing Li
浏览  |  Adobe PDF(906Kb)  |  收藏  |  浏览/下载：720/297  |  提交时间：2015/11/12
Horror Image Recognition  Context-aware Multi-instance Learning  Visual Saliency