Stars
PyTorch implementation of normalizing flow models
trajectory recovery; trajectory anomaly detection; 轨迹修复; 轨迹异常检测
The official repository of the ICCV paper "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors"
Code for "FloMo: Tractable Motion Prediction with Normalizing Flows", Schöller et al., International Conference on Intelligent Robots and Systems (IROS), 2021
Trajectory prediction method using a stacked normalizing flow for fast and accurate density estimation.
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
[Neurips'24] PyTorch Implementation of "MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction".
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
[NeurIPS 2024] DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
A Unified Longitudinal Trajectory Dataset for Automated Vehicle
🛰️ Segmenting roads in satellite images
[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving
A benchmark dataset in Realistic Urban settings for Multi-Agent Anomaly Detection. Including code for the dataset, the baseline models and the evaluation.