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Disentangled Representation Learning of Makeup Portraits in the Wild 期刊论文
International Journal of Computer Vision, 2019, 卷号: -, 期号: -, 页码: -
作者:  Li, Yi;  Huang, Huaibo;  Cao, Jie;  He, Ran;  Tan, Tieniu
浏览  |  Adobe PDF(24456Kb)  |  收藏  |  浏览/下载：277/64  |  提交时间：2020/06/10
Face verification  Makeup transfer  Disentangled feature  Correspondence field  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：418/98  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
Cross-modality interactive attention network for multispectral pedestrian detection 期刊论文
INFORMATION FUSION, 2019, 期号: 50, 页码: 20-29
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhang, Shifeng;  Yang, Xu;  Qiao, Hong;  Huang, Kaizhu;  Hussain, Amir
浏览  |  Adobe PDF(2952Kb)  |  收藏  |  浏览/下载：426/67  |  提交时间：2019/07/11
Pedestrian detection  Modality fusion  Cross-modality attention  Deep neural networks  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：364/63  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning  
Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4328-4338
作者:  Guo, Haiyun;  Zhu, Kuan;  Tang, Ming;  Wang, Jinqiao
浏览  |  Adobe PDF(2562Kb)  |  收藏  |  浏览/下载：317/66  |  提交时间：2019/12/16
Two-level attention network  multi-grain ranking loss  vehicle re-identification  feature embedding  
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：306/40  |  提交时间：2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
Part-aligned pose-guided recurrent network for action recognition 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 92, 期号: 1, 页码: 165-176
作者:  Huang, Linjiang;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：484/114  |  提交时间：2019/07/11
Action recognition  Part alignment  Auto-transformer attention  
Preoperative Diagnosis of Regional Lymph Node Metastasis of Colorectal Cancer With Quantitative Parameters From Dual-Energy CT 期刊论文
AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 卷号: 213, 期号: 1, 页码: W17-W25
作者:  Yang, Zehong;  Zhang, Xiang;  Fang, Mengjie;  Li, Guolin;  Duan, Xiaohui;  Mao, Jiaji;  Shen, Jun
Adobe PDF(990Kb)  |  收藏  |  浏览/下载：316/46  |  提交时间：2019/12/16
colorectal neoplasm  diagnostic imaging  lymphadenopathy  MDCT  
Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 6, 页码: 3079-3089
作者:  Li, Wuchao;  Zhang, Liwen;  Tian, Chong;  Song, Hui;  Fang, Mengjie;  Hu, Chaoen;  Zang, Yali;  Cao, Ying;  Dai, Shiyuan;  Wang, Fang;  Dong, Di;  Wang, Rongpin;  Tian, Jie
Adobe PDF(1951Kb)  |  收藏  |  浏览/下载：461/127  |  提交时间：2019/07/12
Multidetector computed tomography  Stomach neoplasms  Survival  
Dense semantic embedding network for image captioning 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 285-296
作者:  Xiao, Xinyu;  Wang, Lingfeng;  Ding, Kun;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：339/0  |  提交时间：2019/04/23
Image captioning  Retrieval  High-level semantic information  Visual concept  Densely embedding  Long short-term memory