Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
-
Updated
Mar 27, 2020 - Python
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Dashboard: Analysis of pedestrian dynamics based on trajectory files
Data preprocessing for IUPUI-CSRC Pedestrian Situated Intent (PSI) benchmark dataset.
Official code for AAAI 2023 paper "Multi-stream Representation Learning for Pedestrian Trajectory Prediction"
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022
Implementation of Arc-LSTM-SMF model, and its standalone parts, to the task of pedestrian trajectory forecast
Add a description, image, and links to the pedestrian-trajectories topic page so that developers can more easily learn about it.
To associate your repository with the pedestrian-trajectories topic, visit your repo's landing page and select "manage topics."