中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [4]
计算技术研究所 [3]
地理科学与资源研究所 [2]
海洋研究所 [2]
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OAI收割 [11]
内容类型
期刊论文 [10]
会议论文 [1]
发表日期
2025 [1]
2024 [3]
2023 [4]
2021 [1]
2020 [1]
2013 [1]
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Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Cheng, Shifen
;
Zhang, Tong
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2025/02/24
Spatiotemporal prediction
Spatiotemporal data missing
Causal dilatation convolution
Graph attention network
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model
期刊论文
OAI收割
SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2024, 2024, 卷号: 14619, 页码: 242-251
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/10/21
Spatiotemporal prediction
spatiotemporal data missing
causal dilatation convolution
graph attention network
Multi-Scale Window Spatiotemporal Attention Network for Subsurface Temperature Prediction and Reconstruction
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 12, 页码: 18
作者:
Jiang, Jiawei
;
Wang, Jun
;
Liu, Yiping
;
Huang, Chao
;
Jiang, Qiufu
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/09/02
temperature structure prediction
temperature structure reconstruction
spatiotemporal window ocean
satellite observations
spatiotemporal attention mechanism
SWO: A Lightweight Window Spatiotemporal Attention Network Reconstructs Subsurface Temperature Structure
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 19274-19287
作者:
Jiang, Jiawei
;
Wang, Jun
;
Liu, Yiping
;
Feng, Liqiang
;
Jiang, Qiufu
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/20
Spatiotemporal phenomena
Oceans
Computational modeling
Image reconstruction
Computer architecture
Remote sensing
Ocean temperature
Lightweight
satellite observations
spatiotemporal attention mechanism
Spatiotemporal Window Ocean (SWO)
temperature structure reconstruction
Efficient spatiotemporal context modeling for action recognition
期刊论文
OAI收割
NEUROCOMPUTING, 2023, 卷号: 545, 页码: 13
作者:
Cao, Congqi
;
Lu, Yue
;
Zhang, Yifan
;
Jiang, Dongmei
;
Zhang, Yanning
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/17
Action recognition
Long -range context modeling
Spatiotemporal feature map
Attention module
Relation
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 1954-1965
作者:
Niu, Mingyue
;
Zhao, Ziping
;
Tao, Jianhua
;
Li, Ya
;
Schuller, Bjorn
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/11/15
Depression
Feature extraction
Tensors
Databases
Spatiotemporal phenomena
Convolutional neural networks
Physiology
DAER network
depression level prediction
dual attention block
element recalibration block
facial differences
Spatial-Temporal Graph Network for Video Crowd Counting
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 228-241
作者:
Wu, Zhe
;
Zhang, Xinfeng
;
Tian, Geng
;
Wang, Yaowei
;
Huang, Qingming
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/07/12
Computational modeling
Predictive models
Analytical models
Long short term memory
Optical flow
Integrated circuit modeling
Head
Video-based crowd counting
spatiotemporal graph attention
multi-scale module
STAM: A SpatioTemporal Attention Based Memory for Video Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2354-2367
作者:
Chang, Zheng
;
Zhang, Xinfeng
;
Wang, Shanshe
;
Ma, Siwei
;
Gao, Wen
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/12/04
Global spatiotemporal information
spatio temporal receptive field
3D convolutional neural network
spatiotemporal attention
sequence learning
video prediction
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Liu, Fei
;
Liu, Jing
;
Hong, Richang
;
Lu, Hanqing
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/01/27
Spatiotemporal phenomena
Measurement
Visualization
Knowledge discovery
Task analysis
Cognition
Semantics
Erasing mechanism
metric learning
spatiotemporal attention
video question answering (VideoQA)
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning
期刊论文
OAI收割
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:
Jia, Hongwei
;
Luo, Haiyong
;
Wang, Hao
;
Zhao, Fang
;
Ke, Qixue
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2020/12/10
forecasting passenger flow
spatiotemporal networks
multi-task learning
attention mechanism
spatiotemporal dependency