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Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

24 June 2022
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
ArXivPDFHTML

Papers citing "Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning"

21 / 21 papers shown
Title
Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
Jialiang Zhang
Feng Gao
Yanhai Gan
Junyu Dong
Q. Du
19
0
0
23 Apr 2025
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
Yuhao Du
Hui Liu
Haoxiang Peng
Xinyuan Chen
Chenrong Wu
J. Zhang
52
0
0
14 Mar 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Yuxuan Liang
Yu Zheng
Kun Wang
54
2
0
17 Jan 2025
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TS
AI4CE
77
1
0
20 Nov 2024
Multi-Source Temporal Attention Network for Precipitation Nowcasting
Multi-Source Temporal Attention Network for Precipitation Nowcasting
Rafael Pablos-Sarabia
Joachim Nyborg
Morten Birk
Jeppe Liborius Sjørup
Anders Lillevang Vesterholt
Ira Assent
AI4Cl
13
0
0
11 Oct 2024
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale
  Spatiotemporal Information
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information
Jiajun Liang
Baoquan Zhang
Yunming Ye
Xutao Li
Chuyao Luo
Xukai Fu
14
0
0
26 Apr 2024
DiffCast: A Unified Framework via Residual Diffusion for Precipitation
  Nowcasting
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
Demin Yu
Xutao Li
Yunming Ye
Baoquan Zhang
Chuyao Luo
Kuai Dai
Rui Wang
Xunlai Chen
12
19
0
11 Dec 2023
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
Chao Chen
Tian Zhou
Yanjun Zhao
Hui Liu
Liang Sun
Rong Jin
10
0
0
06 Dec 2023
Boosting the Power of Small Multimodal Reasoning Models to Match Larger
  Models with Self-Consistency Training
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training
Cheng Tan
Jingxuan Wei
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Ruifeng Guo
Xihong Yang
Stan Z. Li
LRM
11
7
0
23 Nov 2023
USTEP: Spatio-Temporal Predictive Learning under A Unified View
USTEP: Spatio-Temporal Predictive Learning under A Unified View
Cheng Tan
Jue Wang
Zhangyang Gao
Siyuan Li
Stan Z. Li
29
1
0
09 Oct 2023
Precipitation nowcasting with generative diffusion models
Precipitation nowcasting with generative diffusion models
Andrea Asperti
Fabio Merizzi
Alberto Paparella
G. Pedrazzi
M. Angelinelli
Stefano Colamonaco
DiffM
12
17
0
13 Aug 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot
  Antibody Designer
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
Cheng Tan
Zhangyang Gao
Lirong Wu
Jun-Xiong Xia
Jiangbin Zheng
Xihong Yang
Yue Liu
Bozhen Hu
Stan Z. Li
12
14
0
21 Apr 2023
PiFold: Toward effective and efficient protein inverse folding
PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao
Cheng Tan
Pablo Chacón
Stan Z. Li
AI4CE
59
104
0
22 Sep 2022
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB
Zhangyang Gao
Cheng Tan
Stan Z. Li
129
52
0
01 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
255
7,337
0
11 Nov 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
NoLa
52
114
0
05 Aug 2021
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
117
133
0
21 Jul 2020
Photo-Realistic Video Prediction on Natural Videos of Largely Changing
  Frames
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
O. Shouno
GAN
14
21
0
19 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
69
284
0
03 Mar 2020
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
113
302
0
11 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
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