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科研机构
自动化研究所 [14]
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期刊论文 [14]
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2024 [1]
2023 [1]
2022 [4]
2021 [1]
2020 [2]
2019 [1]
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内容类型:期刊论文
专题:自动化研究所
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Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 647-660
作者:
Li, Yun-Heng
;
Liu, Kai-Yuan
;
Liu, Sheng-Lan
;
Feng, Lin
;
Qiao, Hong
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/26
Feature extraction
Motion segmentation
Correlation
Convolution
Topology
Convolutional neural networks
Solid modeling
Skeleton-based temporal action segmentation
enhanced spatial graph structure
segmented encoding
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:
Zebing Wei
;
Hongxia Zhao
;
Zhishuai Li
;
Xiaojie Bu
;
Yuanyuan Chen
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/01/03
Deep learning
graph neural network (GNN)
multi-stream
spatial-temporal feature extraction
temporal graph
traffic prediction
Learning Semantic-Aware Spatial-Temporal Attention for Interpretable Action Recognition
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 8, 页码: 5213-5224
作者:
Fu, Jie
;
Gao, Junyu
;
Xu, Changsheng
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/09/19
Visualization
Semantics
Task analysis
Three-dimensional displays
Feature extraction
Solid modeling
Predictive models
Semantic-aware
spatial-temporal attention
interpretable
action recognition
An Efficient Multiresolution Network for Vehicle Reidentification
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 11, 页码: 9049-9059
作者:
Shen, Fei
;
Zhu, Jianqing
;
Zhu, Xiaobin
;
Huang, Jingchang
;
Zeng, Huanqiang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/07/25
Image resolution
Training
Feature extraction
Spatial resolution
Proposals
Internet of Things
Deep learning
Deep learning
image representation
multiresolution
vehicle reidentification
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Luo, Guiyang
;
Zhang, Hui
;
Yuan, Quan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/25
Roads
Correlation
Feature extraction
Sensors
Deep learning
Convolution
Sensor phenomena and characterization
Traffic forecasting
graph convolutional network
spatial-temporal networks
Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:
Ding, Kun
;
He, Guojin
;
Gu, Huxiang
;
Zhong, Zisha
;
Xiang, Shiming
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  |  
浏览/下载:37/0
  |  
提交时间:2022/02/16
Convolution
Head
Training
Testing
Object detection
Feature extraction
Real-time systems
Aerial images
object detection
sparse convolution
spatial sparsity
UMAG-Net: A New Unsupervised Multiattention-Guided Network for Hyperspectral and Multispectral Image Fusion
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 7373-7385
作者:
Liu, Shuaiqi
;
Miao, Siyu
;
Su, Jian
;
Li, Bing
;
Hu, Weiming
收藏
  |  
浏览/下载:92/0
  |  
提交时间:2021/11/02
Tensors
Image fusion
Hyperspectral imaging
Spatial resolution
Feature extraction
Image reconstruction
Dictionaries
Deep learning
hyperspectral images (HSIs)
image fusion
multispectral images (MSIs)
Temporal-Spatial Mapping for Action Recognition
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 3, 页码: 748-759
作者:
Song, Xiaolin
;
Lan, Cuiling
;
Zeng, Wenjun
;
Xing, Junliang
;
Sun, Xiaoyan
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/06/02
Two dimensional displays
Three-dimensional displays
Feature extraction
Optical imaging
Computational modeling
Streaming media
Kernel
Temporal-spatial mapping (TSM)
action recognition
deep learning
STA-CNN: Convolutional Spatial-Temporal Attention Learning for Action Recognition
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5783-5793
作者:
Yang, Hao
;
Yuan, Chunfeng
;
Zhang, Li
;
Sun, Yunda
;
Hu, Weiming
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/06/22
Videos
Feature extraction
Motion segmentation
Computational modeling
Image recognition
Solid modeling
Convolutional neural networks
Temporal attention
spatial attention
convolutional neural network
action recognition
Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1922-1930
作者:
Yang, Menglin
;
Li, Ding
;
Zhang, Wensheng
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2019/12/16
feature extraction
diseases
medical image processing
patient diagnosis
image segmentation
image classification
supervised learning
image annotation
thoracic disease diagnosis
weakly supervised learning
computer-aided diagnosis
coarse image-level annotations
pathological area
nonlocal aware features
fine-grained expertise
clinical diagnosis
visualisation method
chest X-ray dataset
spatial nonlocal attention mechanism
ResNet-SNA
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