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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：208/25  |  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  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：326/64  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Multi-Objective Matrix Normalization for Fine-Grained Visual Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 4996-5009
作者:  Min, Shaobo;  Yao, Hantao;  Xie, Hongtao;  Zha, Zheng-Jun;  Zhang, Yongdong
收藏  |  浏览/下载：244/0  |  提交时间：2020/06/02
Visualization  Graphics processing units  Feature extraction  Convergence  Optimization  Covariance matrices  Training  Fine-grained visual recognition  bilinear pooling  matrix normalization  multi-objective optimization  
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：348/76  |  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  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载：329/40  |  提交时间：2019/09/30
Visual tracking  deep learning  sampling and regression  
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：380/106  |  提交时间：2018/10/10
Visual Tracking  Deep Learning  Part-based Tracker  
Deep Relative Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 4, 页码: 1845-1858
作者:  Gao, Junyu;  Zhang, Tianzhu;  Yang, Xiaoshan;  Xu, Changsheng;  Changsheng Xu
浏览  |  Adobe PDF(5252Kb)  |  收藏  |  浏览/下载：576/237  |  提交时间：2017/02/23
Visual Tracking  Deep Learning  Relative Model  
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：477/174  |  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  
A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 4, 页码: 1209-1222
作者:  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo;  Bo Zhang
浏览  |  Adobe PDF(4732Kb)  |  收藏  |  浏览/下载：373/86  |  提交时间：2015/09/18
Polarimetric Synthetic Aperture Radar (Polsar)  Speckle Reduction  Multi-channel Total Variation  Complex Wishart Distribution  Variational Model  
Real-Time Probabilistic Covariance Tracking With Efficient Model Update 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 5, 页码: 2824-2837
作者:  Wu, Yi;  Cheng, Jian;  Wang, Jinqiao;  Lu, Hanqing;  Wang, Jun;  Ling, Haibin;  Blasch, Erik;  Bai, Li
浏览  |  Adobe PDF(1938Kb)  |  收藏  |  浏览/下载：318/78  |  提交时间：2015/08/12
Covariance Descriptor  Incremental Learning  Model Update  Particle Filter  Riemannian Manifolds  Visual Tracking