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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：80/0  |  提交时间：2023/11/17
Domain invariant local features  image matching  long-term visual localization  weakly supervised learning  
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  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：318/62  |  提交时间：2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
Blending Surface Segmentation and Editing for 3D Models 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 8, 页码: 2879-2894
作者:  Zhang, Long;  Guo, Jianwei;  Xiao, Jun;  Zhang, Xiaopeng;  Yan, Dong-Ming
收藏  |  浏览/下载：249/0  |  提交时间：2022/07/25
Three-dimensional displays  Solid modeling  Shape  Surface morphology  Clustering algorithms  Trajectory  Partitioning algorithms  Mesh segmentation  structure recovery  superfacets  rolling-ball blending surface  Markov random field  
Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 865-879
作者:  Wei, Jianze;  Huang, Huaibo;  Wang, Yunlong;  He, Ran;  Sun, Zhenan
Adobe PDF(8736Kb)  |  收藏  |  浏览/下载：288/48  |  提交时间：2022/06/06
Iris recognition  Uncertainty  Training  Task analysis  Computational modeling  Feature extraction  Probabilistic logic  Iris recognition  cross-sensor recognition  uncertainty learning  curriculum learning  
Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 卷号: 71, 页码: 10
作者:  Liu, Shuaiqi;  Zhao, Ling;  Zhao, Jie;  Li, Bing;  Wang, Shui-Hua
收藏  |  浏览/下载：226/0  |  提交时间：2021/12/28
Attention deficit  hyperactivity disorder  Resting functional magnetic resonance imaging  Classification  Convolutional gated recurrent unit  
Visual Question Answering With Dense Inter- and Intra-Modality Interactions 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3518-3529
作者:  Liu, Fei;  Liu, Jing;  Fang, Zhiwei;  Hong, Richang;  Lu, Hanqing
Adobe PDF(2891Kb)  |  收藏  |  浏览/下载：269/58  |  提交时间：2021/12/28
Visualization  Knowledge discovery  Connectors  Encoding  Task analysis  Image coding  Stacking  Visual question answering  attention  dense interactions  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：363/69  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：265/23  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载：662/357  |  提交时间：2021/05/06
deep learning  peritumor  radiomics