Search Results for author:
Found 6 papers, 5 papers with code
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving
Accurate 3D human pose estimation (3D HPE) is crucial for enabling autonomous vehicles (AVs) to make informed decisions and respond proactively in critical road scenarios.
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Given a stacked sequence of 3D body poses, a spatial-MLP extracts fine grained spatial dependencies of the body joints.
Ranked #6 on
Human Pose Forecasting
on Human3.6M
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Due to the lack of multi-agent trajectory datasets for anomaly detection in automated driving, we introduce our dataset using a driving simulator for normal and abnormal manoeuvres.
Learning Temporal 3D Human Pose Estimation with Pseudo-Labels
We present a simple, yet effective, approach for self-supervised 3D human pose estimation.
Ranked #49 on
3D Human Pose Estimation
on MPI-INF-3DHP
Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
We present a self-supervised learning algorithm for 3D human pose estimation of a single person based on a multiple-view camera system and 2D body pose estimates for each view.
Ranked #12 on
Weakly-supervised 3D Human Pose Estimation
on Human3.6M
Self-Supervised Learning
Weakly-supervised 3D Human Pose Estimation
+1
Traffic Control Gesture Recognition for Autonomous Vehicles
A car driver knows how to react on the gestures of the traffic officers.
Ranked #1 on
Skeleton Based Action Recognition
on TCG-dataset
