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SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6816-6830
作者:  Qi, Qi;  Li, Kunqian;  Zheng, Haiyong;  Gao, Xiang;  Hou, Guojia;  Sun, Kun
收藏  |  浏览/下载：137/0  |  提交时间：2022/11/28
Semantics  Image enhancement  Task analysis  Feature extraction  Training  Degradation  Visualization  Underwater image enhancement  deep learning  semantic guidance  attention mechanism  SUIM-E dataset  
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：316/56  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning  
Learning to Align via Wasserstein for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7104-7116
作者:  Zhang, Zhizhong;  Xie, Yuan;  Li, Ding;  Zhang, Wensheng;  Tian, Qi
收藏  |  浏览/下载：245/0  |  提交时间：2020/08/03
Semantics  Heating systems  Measurement  Learning systems  Training  Estimation  Feature extraction  Person re-identification  deep metric learning  convolutional neural network  Wasserstein distance  
A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 4, 页码: 1575-1590
作者:  Li, Dangwei;  Zhang, Zhang;  Chen, Xiaotang;  Huang, Kaiqi
收藏  |  浏览/下载：334/0  |  提交时间：2019/07/12
Pedestrian retrieval  person re-identification  pedestrian attribute recognition  multi-label learning  
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：580/262  |  提交时间：2019/04/19
Visual saliency detection  salient object segmentation  boundary detection  deep learning