Code for our CVPR 2019 work.
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Updated
Jul 19, 2019 - Python
Code for our CVPR 2019 work.
Reinforcement learning agent that actively learns physical properties (motion mechanisms) in a 2D simulated domain.
Code and results/visualizations for the paper "A Neural Temporal Model for Human Motion Prediction", CVPR 2019
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020
Human Pose Estimation Related Publication
A selection of state-of-the-art research materials on decision making and motion planning.
Deep learning models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.
Behavior Prediction in Autonomous Driving
1D localization using Bayesian Filter to locate a robot in 1D space and represent uncertainty in robot motion
This is a C++ repository containing various algorithms implemented by me for solving robotics problems
Deep learning algorithm to perform motion prediction on vehicles as part of an autonomous car software stack.
Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops
[ICCV2021] Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
Music conditioned dance prediction
[ECCV 2020] Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.
Vehicle-Pedestrian Motion Prediction using Classification
Official implementation of dual quaternion transformations as described in the paper "Pose Representations for Deep Skeletal Animation".
Code for "FloMo: Tractable Motion Prediction with Normalizing Flows", Schöller et al., International Conference on Intelligent Robots and Systems (IROS), 2021
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