[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting

A general framework for learning spatio-temporal point processes via reinforcement learning

Code release for "PredCNN: Predictive Learning with Cascade Convolutions" (IJCAI 2018)

ST-OPTICS: Spatio-temporal clustering based on OPTICS

[CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction

Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).

[AAAI'22] Event-Aware Multimodal Mobility Nowcasting

A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

[ICDE'21] Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks

Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet

LLM4HRS:A LLM-based Spatio-temporal Imputation Model for Highly-sparse Remote Sensing Data

A tool to quantify the spatio-temporal continuity of sparse data