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自动化研究所 [6]
北京航空航天大学 [2]
四川大学 [2]
山东大学 [2]
厦门大学 [1]
西安交通大学 [1]
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期刊论文 [18]
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会议论文 [1]
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A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11428-11442
作者:
Zhou, Benjia
;
Wang, Pichao
;
Wan, Jun
;
Liang, Yanyan
;
Wang, Fan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/16
Spatiotemporal phenomena
Representation learning
Training
Optimization
Task analysis
Three-dimensional displays
Solid modeling
Complement feature
late fusion
motion recognition
RGB-D
video augmentation
Efficient spatiotemporal context modeling for action recognition
期刊论文
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:6/0
  |  
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
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
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  |  
浏览/下载:4/0
  |  
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
Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 219-232
作者:
Zhen-Yi Zhao
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  |  
浏览/下载:22/0
  |  
提交时间:2021/04/22
Vehicle emission prediction
spatiotemporal gragh convolution
GPS trajectories
motor vehicle emission simulator (MOVES) model
feature sharing
Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 345, 页码: 13
作者:
Choupan, Jeiran
;
Douglas, Pamela K.
;
Gal, Yaniv
;
Cohen, Mark S.
;
Reutens, David C.
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  |  
浏览/下载:18/0
  |  
提交时间:2021/01/07
fMRI
Multi-variate pattern analysis
Spatiotemporal feature selection
Multiband EPI
Random forest
Support vector machine
3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 页码: 3347-3359
作者:
Wu, Lin
;
Wang, Yang
;
Shao, Ling
;
Wang, Meng
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Feature extraction
Spatiotemporal phenomena
Neural networks
Streaming media
Solid modeling
Learning systems
Computer science
3-D convolution
global representations
person reidentification (re-ID)
vector of local aggregated descriptors (VLAD)
Review of Visual Saliency Detection With Comprehensive Information
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: Vol.29 No.10, 页码: 2941-2959
作者:
Cong, R.a
;
Lei, J.a
;
Fu, H.b
;
Cheng, M.-M.c
;
Lin, W.d
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  |  
浏览/下载:24/0
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提交时间:2019/11/21
Saliency detection
Visualization
Feature extraction
Image color analysis
Integrated circuit modeling
Visual systems
Imaging
Salient object
RGBD saliency detection
depth attribute
co-saliency detection
inter-image correspondence
video saliency detection
spatiotemporal constraint
Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2019, 卷号: 10, 期号: 1, 页码: 32-47
作者:
Huang, Xiaohua
;
Wang, Su-Jing
;
Liu, Xin
;
Zhao, Guoying
;
Feng, Xiaoyi
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2019/04/22
Spontaneous facial micro-expression
spatiotemporal
local binary pattern
integral projection
feature selection
A parallel spatiotemporal deep learning network for highway traffic flow forecasting
期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 卷号: 15
作者:
Han, Dongxiao[1]
;
Chen, Juan[2]
;
Sun, Jian[3]
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/04/22
Traffic flow forecasting
spatiotemporal feature
deep learning
convolutional neural network
long short-term memory
Quantitative Analysis of Dynamic Response Features of Sending-end Power Grid under LCC-HVDC Blocking
期刊论文
2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2019, 页码: 2363-2370
作者:
Cao, Yongji
;
Xie, Yuzheng
;
Zhang, Hengxu
;
Fang, Yongjie
;
Li, Zhaowei
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
dynamic response
LCC-HVDC blocking
quantitative analysis
sending-end power grid
spatiotemporal distribution feature
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