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Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:  Tan, Zichang;  Liu, Ajian;  Wan, Jun;  Liu, Hao;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(10124Kb)  |  收藏  |  浏览/下载：289/5  |  提交时间：2022/07/25
Face recognition  Training  Measurement  Graphics processing units  Deep learning  Logic gates  Feature extraction  Face recognition  ID vs spot  deep learning  cross-batch hard example mining  pseudo large batch  
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：293/64  |  提交时间：2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training  
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：379/80  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
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：393/84  |  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  
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：384/68  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
Unsupervised Semantic-Based Aggregation of Deep Convolutional Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 601-611
作者:  Xu, Jian;  Wang, Chunheng;  Qi, Chengzuo;  Shi, Cunzhao;  Xiao, Baihua
浏览  |  Adobe PDF(1963Kb)  |  收藏  |  浏览/下载：417/96  |  提交时间：2019/07/12
Unsupervised  semantic-based aggregation  semantic detectors  
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：512/114  |  提交时间：2019/04/23
Image retrieval  deep hashing  similarity-preserving  local structures  Hamming-isometric  
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：614/275  |  提交时间：2019/04/19
Visual saliency detection  salient object segmentation  boundary detection  deep learning  
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：382/96  |  提交时间：2018/01/03
Multi-object Tracking  Minimum-cost Flows  Batch Processing  Graph Transformation  
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：460/165  |  提交时间：2017/06/19
Deep Learning  High-order Boltzmann Machine  Relation Learning  Face Verification  Action Similarity Labeling