OPT OpenIR
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Supervised deep hashing with a joint deep network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载:202/3  |  提交时间:2020/07/20
Image retrieval  Supervised hashing  CNN  RNN  Deep learning  
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载:291/0  |  提交时间:2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information  
A Survey of Human Action Analysis in HRI Applications 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 7, 页码: 2114-2128
作者:  Ji, Yanli;  Yang, Yang;  Shen, Fumin;  Shen, Heng Tao;  Li, Xuelong
Adobe PDF(2113Kb)  |  收藏  |  浏览/下载:201/4  |  提交时间:2020/07/20
Human-robot interaction  action recognition  action prediction  action imitation  datasets  robots  
Reconstructing of embedded high-aspect-ratio nano-voids generated by ultrafast laser bessel beams 期刊论文
Micromachines, 2020, 卷号: 11, 期号: 7
作者:  Chen, Tianqu;  Zhang, Guodong;  Wang, Yishan;  Li, Xuelong;  Stoian, Razvan;  Cheng, Guanghua
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载:200/1  |  提交时间:2020/08/21
bessel beam  femtosecond laser  picosecond laser  fused silica  micro-nano hole  high-aspect-ratio  tomography  
Hierarchical Feature Fusion Network for Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9165-9175
作者:  Li, Xuelong;  Song, Dawei;  Dong, Yongsheng
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:224/1  |  提交时间:2020/10/30
Feature extraction  Semantics  Image edge detection  Object detection  Fuses  Visualization  Image color analysis  Salient object detection  hierarchical feature fusion  edge information-guided  one-to-one hierarchical supervision strategy