LibCity: An Open Library for Urban Spatial-temporal Data Mining

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

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

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

tsl: a PyTorch library for processing spatiotemporal data.

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

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

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

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

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

My Data Competition Solutions

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition