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Towards Fast, Accurate and Stable 3D Dense Face Alignment 会议论文
, Glasgow, UK, August 23-28, 2020
作者:  Guo JZ(郭建珠);  Zhu XY(朱翔昱);  Yang Y(杨阳);  Yang F(杨帆);  Lei Z(雷震);  Li ZQ(李子青)
Adobe PDF(4994Kb)  |  收藏  |  浏览/下载：250/47  |  提交时间：2021/05/31
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks 会议论文
, New York, 2020-2
作者:  Zichang Tan;  Yang Yang;  Jun Wan;  Guodong Guo;  Stan Z. Li
Adobe PDF(3975Kb)  |  收藏  |  浏览/下载：255/62  |  提交时间：2021/05/31
Deep Learning, Pedestrian Attribute Recognition  
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：336/62  |  提交时间：2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Nanobar array assay revealed complementary roles of BIN1 splice isoforms in cardiac T-tubule morphogenesis 期刊论文
Nano Letters, 2020, 卷号: 20, 期号: 20, 页码: 9
作者:  Lin-Lin Li;  Qian-Jin Guo;  Hsin-Ya Lou;  Jing-Hui Liang;  Yang Yang;  Xin Xing;  Hong-Tao Li;  Jing Han;  Shan Shen;  Hui Li;  Haihong Ye;  Hao Di Wu;  Bianxiao Cui;  Shi-Qiang Wang
浏览  |  Adobe PDF(7678Kb)  |  收藏  |  浏览/下载：276/59  |  提交时间：2020/10/14
nanopillar array BIN1 splicing isoforms T-tubule muscle contraction heart disease  
An end-to-end exemplar association for unsupervised person Re-identification 期刊论文
NEURAL NETWORKS, 2020, 卷号: 129, 页码: 43-54
作者:  Wu, Jinlin;  Yang, Yang;  Lei, Zhen;  Wang, Jinqiao;  Li, Stan Z.;  Tiwari, Prayag;  Pandey, Hari Mohan
Adobe PDF(3014Kb)  |  收藏  |  浏览/下载：411/103  |  提交时间：2020/09/07
End-to-end exemplar-based training  Exemplar association  Dynamic selection threshold  
Context propagation embedding network for weakly supervised semantic segmentation 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 18
作者:  Xu, Yajun;  Mao, Zhendong;  Chen, Zhineng;  Wen, Xin;  Li, Yangyang
收藏  |  浏览/下载：220/0  |  提交时间：2020/06/02
Weakly supervised  Semantic segmentation  Context propagation  High-quality visual cues  
Object-difference drived graph convolutional networks for visual question answering 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 19
作者:  Zhu, Xi;  Mao, Zhendong;  Chen, Zhineng;  Li, Yangyang;  Wang, Zhaohui;  Wang, Bin
收藏  |  浏览/下载：201/0  |  提交时间：2020/06/02
Visual question answering  Graph convolutional networks  Object-difference