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Active Disparity Sampling for Stereo Matching With Adjoint Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 354-365
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Tian, Kun;  Ni, Bolin;  Xiang, Shiming
收藏  |  浏览/下载：31/0  |  提交时间：2024/02/21
Stereo matching  domain generalization  active sampling  adjoint network  Bayesian optimization  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：214/26  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载：257/57  |  提交时间：2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training  
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：352/76  |  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  
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
Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：330/70  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 9, 页码: 4274-4286
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Hou, Guangqi;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(4648Kb)  |  收藏  |  浏览/下载：336/23  |  提交时间：2018/10/10
Implicitly Multi-scale Fusion  Bidirectional Recurrent Convolutional Neural Network  Light-field  Super-resolution  
Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 12, 页码: 5575-5589
作者:  Gao, Shan;  Ye, Qixiang;  Xing, Junliang;  Kuijper, Arjan;  Han, Zhenjun;  Jiao, Jianbin;  Ji, Xiangyang
浏览  |  Adobe PDF(5475Kb)  |  收藏  |  浏览/下载：363/78  |  提交时间：2018/01/05
Multiple Person Tracking  Group Tracking  Rgb-d Data  Topology  
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 10, 页码: 4765-4776
作者:  Wang, Xinchao;  Fan, Bin;  Chang, Shiyu;  Wang, Zhangyang;  Liu, Xianming;  Tao, Dacheng;  Huang, Thomas S.;  Bin Fan
浏览  |  Adobe PDF(2637Kb)  |  收藏  |  浏览/下载：353/89  |  提交时间：2018/01/03
Multi-object Tracking  Minimum-cost Flows  Batch Processing  Graph Transformation  
Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 724-737
作者:  Hu, Wenrui;  Yang, Yehui;  Zhang, Wensheng;  Xie, Yuan
浏览  |  Adobe PDF(13016Kb)  |  收藏  |  浏览/下载：508/198  |  提交时间：2017/09/12
Moving Object Detection  Tensor Nuclear Norm  Tensor Total Variation  Space-time Visual Saliency  
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
Adobe PDF(4175Kb)  |  收藏  |  浏览/下载：439/158  |  提交时间：2017/06/19
Deep Learning  High-order Boltzmann Machine  Relation Learning  Face Verification  Action Similarity Labeling