SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning

22 November 2022

Cheng Tan

Stan Z. Li

Papers citing "SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning"

20 / 20 papers shown

Title
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information Jiajun Liang Baoquan Zhang Yunming Ye Xutao Li Chuyao Luo Xukai Fu 29 0 0 26 Apr 2024
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting Chao Chen Tian Zhou Yanjun Zhao Hui Liu Liang Sun Rong Jin 25 0 0 06 Dec 2023
USTEP: Spatio-Temporal Predictive Learning under A Unified View Cheng Tan Jue Wang Zhangyang Gao Siyuan Li Stan Z. Li 36 1 0 09 Oct 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 25 18 0 13 Aug 2023
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement Zhangyang Gao Cheng Tan Stan Z. Li 19 15 0 20 May 2023
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 22 14 0 21 Apr 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 24 11 0 28 Mar 2023
PiFold: Toward effective and efficient protein inverse folding Zhangyang Gao Cheng Tan Pablo Chacón Stan Z. Li AI4CE 59 104 0 22 Sep 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 37 26 0 06 Jun 2022
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB Zhangyang Gao Cheng Tan Stan Z. Li 137 52 0 01 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 68 116 0 05 Aug 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,978 0 09 Feb 2021
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 193 419 0 01 Feb 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting Haitao Lin Zhangyang Gao Yongjie Xu Lirong Wu Ling Li Stan. Z. Li AI4TS 119 72 0 04 Jan 2021
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames O. Shouno GAN 22 21 0 19 Mar 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data Pauline Luc Aidan Clark Sander Dieleman Diego de Las Casas Yotam Doron Albin Cassirer Karen Simonyan VGen 217 86 0 09 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 78 287 0 03 Mar 2020
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 127 304 0 11 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015