Popular GitHub Repositories for Spatio Temporal

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022

Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'

? [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops

Research sources on graph-based anomaly detection

Codes and data for a published work "Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series" (https://doi.org/10.1016/j.compenvurbsys.2021.101627)

"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018

This repository contains the code of the paper Multi-Camera Person Re-Identification using Spatiotemporal Context Modeling

Multi-step Hourly Temperature Prediction Using Vehicle-IoT and ML

A deep learning project to predict and generate future video frames using models like ConvLSTM, PredRNN, and Transformers, leveraging the UCF101 dataset. The repository includes preprocessing, model training, video generation, an interactive UI, and evaluation metrics to compare model performance in video synthesis and temporal prediction tasks.

Spatial-temporal graphical models for marginal extremes