Search Results for author:
Found 7 papers, 6 papers with code
Pedestrian Environment Model for Automated Driving
We only use images from a monocular camera and the vehicle's localization data as input to our pedestrian environment model.
Out-of-Distribution Detection for Monocular Depth Estimation
In monocular depth estimation, uncertainty estimation approaches mainly target the data uncertainty introduced by image noise.
Data-Free Backbone Fine-Tuning for Pruned Neural Networks
In particular, the pruned network backbone is trained with synthetically generated images, and our proposed intermediate supervision to mimic the unpruned backbone's output feature map.
Automated Static Camera Calibration with Intelligent Vehicles
Our method does not require any human interaction with the information recorded by both the infrastructure and the vehicle.
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
We present a joint camera and radar approach to enable autonomous vehicles to understand and react to human gestures in everyday traffic.
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
A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
Gesture recognition is essential for the interaction of autonomous vehicles with humans.
Ranked #1 on
Skeleton Based Action Recognition
on Drive&Act
