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Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7458-7471
作者:  Han, Jiali;  Zhu, Lingjie;  Gao, Xiang;  Hu, Zhanyi;  Zhou, Liyang;  Liu, Hongmin;  Shen, Shuhan
Adobe PDF(8168Kb)  |  收藏  |  浏览/下载：325/43  |  提交时间：2021/11/03
Urban reconstruction  building modeling  Markov random field  segment based modeling  
Multi-Domain Image-to-Image Translation via a Unified Circular Framework 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 30, 页码: 670-684
作者:  Wang, Yuxi;  Zhang, Zhaoxiang;  Hao, Wangli;  Song, Chunfeng
Adobe PDF(3399Kb)  |  收藏  |  浏览/下载：352/68  |  提交时间：2021/03/02
Task analysis  Semantics  Visualization  Generative adversarial networks  Generators  Feature extraction  Meteorology  Image-to-image transfer  sharing knowledge module  multiple domain pairs  GANs  
Improve Person Re-Identification With Part Awareness Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7468-7481
作者:  Huang, Houjing;  Yang, Wenjie;  Lin, Jinbin;  Huang, Guan;  Xu, Jiamiao;  Wang, Guoli;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：351/67  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning  
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：342/78  |  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  
Tensor Multi-Task Learning for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2463-2477
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi
浏览  |  Adobe PDF(1444Kb)  |  收藏  |  浏览/下载：387/68  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2665-2679
作者:  Wang, Yunbo;  Liang, Jian;  Cao, Dong;  Sun, Zhenan
浏览  |  Adobe PDF(1445Kb)  |  收藏  |  浏览/下载：515/114  |  提交时间：2019/04/23
Image retrieval  deep hashing  similarity-preserving  local structures  Hamming-isometric  
P2T: Part-to-Target Tracking via Deep Regression Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 6, 页码: 3074-3086
作者:  Gao, Junyu;  Zhang, Tianzhu;  Yang, Xiaoshan;  Xu, Changsheng
浏览  |  Adobe PDF(5803Kb)  |  收藏  |  浏览/下载：414/113  |  提交时间：2018/10/10
Visual Tracking  Deep Learning  Part-based Tracker  
ORGM: Occlusion Relational Graphical Model for Human Pose Estimation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 927-941
作者:  Fu, Lianrui;  Zhang, Junge;  Huang, Kaiqi
浏览  |  Adobe PDF(3253Kb)  |  收藏  |  浏览/下载：334/94  |  提交时间：2017/09/12
Occlusion  Pose Estimation  Spacial Relationship  Mixture  Graphical Model  
Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 10, 页码: 4943-4958
作者:  Xie, Yuan;  Zhang, Wensheng;  Tao, Dacheng;  Hu, Wenrui;  Qu, Yanyun;  Wang, Hanzi;  Yuan Xie
浏览  |  Adobe PDF(9193Kb)  |  收藏  |  浏览/下载：541/163  |  提交时间：2016/10/22
Image Restoration  Atmospheric Turbulence  Total Variation  Deformation-guided Kernel  
A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 卷号: 25, 期号: 6, 页码: 2620-2634
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Huang, Xiayuan
浏览  |  Adobe PDF(5355Kb)  |  收藏  |  浏览/下载：515/181  |  提交时间：2016/10/20
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Nonlocal Total Variation (Nltv)  Complex Wishart Distribution  Conjugate Function  Variational Model