There are 8 repositories under motion-prediction topic.
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
A selection of state-of-the-art research materials on trajectory prediction
Human Pose Estimation Related Publication
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
[CVPR 2023] Query-Centric Trajectory Prediction
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
[ICCV-2023] Official code for work "HumanMAC: Masked Motion Completion for Human Motion Prediction".
A selection of state-of-the-art research materials on decision making and motion planning.
M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
Code for our CVPR 2019 work.
[ICCV2023] Official PyTorch Implementation of "BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction". ICCV 2023
[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
[ICCV 2023] INT2: Interactive Trajectory Prediction at Intersections
Behavior Prediction in Autonomous Driving
Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020
[ICCV2021] Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Full conference version of PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Deep learning models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.
This repository is a paper digest of multi-agent behavior (motion / trajectory) prediction (forecasting / generation).
Official implementation of dual quaternion transformations as described in the paper "Pose Representations for Deep Skeletal Animation".
Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops
Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset
Code and results/visualizations for the paper "A Neural Temporal Model for Human Motion Prediction", CVPR 2019
This is a C++ repository containing various algorithms implemented by me for solving robotics problems