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Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:  Hongmin Liu;  Qi Zhang;  Yufan Hu;  Hui Zeng;  Bin Fan
Adobe PDF(59664Kb)  |  收藏  |  浏览/下载：43/14  |  提交时间：2024/02/19
Multi-expert learning  underwater image enhancement  unsupervised learning  
Learning Proposal-Aware Re-Ranking for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 207-220
作者:  Hu, Yufan;  Fu, Jie;  Chen, Mengyuan;  Gao, Junyu;  Dong, Jianfeng;  Fan, Bin;  Liu, Hongmin
收藏  |  浏览/下载：15/0  |  提交时间：2024/03/26
Proposals  Feature extraction  Location awareness  Videos  Measurement  Task analysis  Optimization  weakly-supervised temporal action localization  Proposal-aware reranking  
DomainFeat: Learning Local Features With Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 46-59
作者:  Xu, Rongtao;  Wang, Changwei;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
收藏  |  浏览/下载：19/0  |  提交时间：2024/03/26
Feature extraction  Location awareness  Visualization  Robustness  Image matching  Detectors  Decoding  Local features  domain adaptation  cross-domain data  consistency loss  
Attention Weighted Local Descriptors 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 9, 页码: 10632-10649
作者:  Wang, Changwei;  Xu, Rongtao;  Lu, Ke;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
收藏  |  浏览/下载：118/0  |  提交时间：2023/11/17
Local features detection and description  consistent attention mechanism  context augmentation  lightweight local descriptors  knowledge distillation  
Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1713-1726
作者:  Fan, Bin;  Yang, Yuzhu;  Feng, Wensen;  Wu, Fuchao;  Lu, Jiwen;  Liu, Hongmin
收藏  |  浏览/下载：85/0  |  提交时间：2023/11/17
Domain invariant local features  image matching  long-term visual localization  weakly supervised learning  
Rolling Shutter Camera: Modeling, Optimization and Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 783-798
作者:  Bin Fan;  Yuchao Dai;  Mingyi He
Adobe PDF(2943Kb)  |  收藏  |  浏览/下载：7/3  |  提交时间：2024/04/23
Rolling shutter, motion modeling, image correction, temporal super-resolution, deep learning  
Incremental Translation Averaging 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 32, 期号: 11, 页码: 7783-7795
作者:  Gao, Xiang;  Zhu, Lingjie;  Fan, Bin;  Liu, Hongmin;  Shen, Shuhan
收藏  |  浏览/下载：198/0  |  提交时间：2022/12/27
Translation averaging  Incremental estimation  Accuracy and robustness  Simplicity and efficiency  
PrGCN: Probability prediction with graph convolutional network for person re-identification 期刊论文
NEUROCOMPUTING, 2021, 卷号: 423, 页码: 57-70
作者:  Liu, Hongmin;  Xiao, Zhenzhen;  Fan, Bin;  Zeng, Hui;  Zhang, Yifan;  Jiang, Guoquan
收藏  |  浏览/下载：187/0  |  提交时间：2021/03/08
Person re-identification  Graph convolutional network  Link probability prediction  Similarity measurement  
CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2021, 卷号: 0, 期号: 0, 页码: 1-5
作者:  Liang Yan;  Bin Fan;  Shiming Xiang;  Chunhong Pan
Adobe PDF(1700Kb)  |  收藏  |  浏览/下载：157/35  |  提交时间：2021/06/15
Cross mean teacher (CMT)  self-training (ST)  semantic segmentation  unsupervised domain adaptation (UDA)  very-high-resolution (VHR) image  
Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 10, 页码: 3675-3687
作者:  Liu, Hongmin;  Zhang, Qianqian;  Fan, Bin;  Wang, Zhiheng;  Han, Junwei
收藏  |  浏览/下载：200/0  |  提交时间：2021/01/07
Histograms  Feature extraction  Encoding  Task analysis  Fans  Computational efficiency  Memory management  Binary descriptor  combined features  gradient feature  intensity feature  ring-sampling pattern  voting strategy