中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共7条，第1-7条 帮助

限定条件                                
已选(0)清除 条数/页：   排序方式：
EFFICIENT HUMAN POSE ESTIMATION BY LEARNING DEEPLY AGGREGATED REPRESENTATIONS 会议论文
, 中国深圳, 2021-7
作者:  Luo, Zhengxiong;  Wang, Zhicheng;  Cai, Yuanhao;  Guanan, Wang;  Wang, Liang;  Huang, Yan;  Zhou, Erjin;  Tan, Tieniu;  Sun, Jian
Adobe PDF(1281Kb)  |  收藏  |  浏览/下载：123/45  |  提交时间：2023/06/09
Unfolding the Alternating Optimization for Blind Super Resolution 会议论文
, 加拿大渥太华, 2020-12
作者:  Luo, Zhengxiong;  Huang, Yan;  Li, Shang;  Wang, Liang;  Tan, Tieniu
Adobe PDF(28741Kb)  |  收藏  |  浏览/下载：69/20  |  提交时间：2023/06/09
Efficient Super Resolution by Recursive Aggregation 会议论文
, 意大利米兰, 2021-1
作者:  Luo, Zhengxiong;  Huang, Yan;  Li, Shang;  Wang, Liang;  Tan, Tieniu
Adobe PDF(8171Kb)  |  收藏  |  浏览/下载：59/24  |  提交时间：2023/06/09
Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载：333/37  |  提交时间：2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：484/209  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 119, 期号: 3, 页码: 329-345
作者:  Zhao, Fang;  Huang, Yongzhen;  Wang, Liang;  Xiang, Tao;  Tan, Tieniu
浏览  |  Adobe PDF(6286Kb)  |  收藏  |  浏览/下载：420/131  |  提交时间：2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Robust Recovery of Corrupted Low-Rank Matrix by Implicit Regularizers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2014, 卷号: 36, 期号: 4, 页码: 770-783
作者:  He, Ran;  Tan, Tieniu;  Wang, Liang
Adobe PDF(1640Kb)  |  收藏  |  浏览/下载：397/120  |  提交时间：2015/08/12
Pca  Implicit Regularizers  Low-rank Matrix Recovery  Correntropy  l(1) Regularization