15 citations · 27 across the 15 of their papers we have counts for
28 papers · 1 filter
Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception
Arka Bhowmick, Enes Ozeren, Ahmed Abdullah +1
In recent years, autonomous driving has significantly in creased the demand for high-quality data to train 2D and 3D perception models for safety-critical scenarios. Real world dat…
RadarPillars: Efficient Object Detection from 4D Radar Point Clouds
Alexander Musiat, Laurenz Reichardt, Michael Schulze +1
Automotive radar systems have evolved to provide not only range, azimuth and Doppler velocity, but also elevation data. This additional dimension allows for the representation of 4…
360 from a Single Camera: A Few-Shot Approach for LiDAR Segmentation
Laurenz Reichardt, Nikolas Ebert, Oliver Wasenmüller
Deep learning applications on LiDAR data suffer from a strong domain gap when applied to different sensors or tasks. In order for these methods to obtain similar accuracy on differ…
Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images
Nikolas Ebert, Didier Stricker, Oliver Wasenmüller
Many medical or pharmaceutical processes have strict guidelines regarding continuous hygiene monitoring. This often involves the labor-intensive task of manually counting microorga…
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention
Nikolas Ebert, Laurenz Reichardt, Didier Stricker +1
While transformer architectures have dominated computer vision in recent years, these models cannot easily be deployed on hardware with limited resources for autonomous driving tas…
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring
Nikolas Ebert, Patrick Mangat, Oliver Wasenmüller
In order to ensure safe autonomous driving, precise information about the conditions in and around the vehicle must be available. Accordingly, the monitoring of occupants and objec…