2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Online Out-of-Domain Detection for Automated Driving
Timo Sämann, Horst-Michael Groß
Ensuring safety in automated driving is a major challenge for the automotive industry. Special attention is paid to artificial intelligence, in particular to Deep Neural Networks (…
cs.CV2022★ 2 cited
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Sämann, Ahmed Mostafa Hammam, Andrei Bursuc +2
Averaging predictions of a deep ensemble of networks is apopular and effective method to improve predictive performance andcalibration in various benchmarks and Kaggle competitions…
cs.CV2019
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Martin Simon, Karl Amende, Andrea Kraus +5
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robot…