Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
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Updated
Sep 5, 2021 - Python
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
LibCity: An Open Library for Urban Spatial-temporal Data Mining
list of papers, code, and other resources
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Summary of open source code for deep learning models in the field of traffic prediction
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Material for the course on machine-learning based environmental monitoring at geostat 2018
Data Competition Solutions
Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
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