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FSD-10: A fine-grained classification dataset for figure skating 期刊论文
NEUROCOMPUTING, 2020, 卷号: 413, 页码: 360-367
作者:  Liu, Shenglan;  Liu, Xiang;  Huang, Gao;  Qiao, Hong;  Hu, Lianyu;  Jiang, Dong;  Zhang, Aibin;  Liu, Yang;  Guo, Ge
收藏  |  浏览/下载：245/0  |  提交时间：2021/01/07
Action recognition  Figure Skating Dataset  Fine-grained sports content analysis  Keyframe based temporal segment network  
An incrementally cascaded broad learning framework to facial landmark tracking 期刊论文
NEUROCOMPUTING, 2020, 卷号: 410, 页码: 125-137
作者:  Liu, Caifeng;  Feng, Lin;  Guo, Shuai;  Wang, Huibing;  Liu, Shenglan;  Qiao, Hong
收藏  |  浏览/下载：223/0  |  提交时间：2021/01/07
Facial landmark tracking  Face alignment  Cascade regression  Incremental learning  
High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载：326/60  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Multimodal graph convolutional networks for high quality content recognition 期刊论文
NEUROCOMPUTING, 2020, 卷号: 412, 页码: 42-51
作者:  Wang, Jinguang;  Hu, Jun;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载：258/0  |  提交时间：2021/01/07
High quality content recognition  Graph convolutional networks  Positive unlabeled learning  
Discriminative multimodal embedding for event classification 期刊论文
NEUROCOMPUTING, 2020, 卷号: 395, 页码: 160-169
作者:  Qi, Fan;  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
收藏  |  浏览/下载：297/0  |  提交时间：2020/06/22
Social media  Event classification  Multimodal embedding  
Frame-GAN: Increasing the frame rate of gait videos with generative adversarial networks 期刊论文
NEUROCOMPUTING, 2020, 卷号: 380, 页码: 95-104
作者:  Xue, Wei;  Ai, Hong;  Sun, Tianyu;  Song, Chunfeng;  Huang, Yan;  Wang, Liang
收藏  |  浏览/下载：310/0  |  提交时间：2020/03/30
Gait recognition  Generative adversarial networks  Metric learning  Deep learning