7 citations · 8 across the 3 of their papers we have counts for
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cs.CV2019
Separable Convolutional LSTMs for Faster Video Segmentation
Andreas Pfeuffer, Klaus Dietmayer
Semantic Segmentation is an important module for autonomous robots such as self-driving cars. The advantage of video segmentation approaches compared to single image segmentation i…
cs.CV2019★ 1 cited
Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion
Andreas Pfeuffer, Klaus Dietmayer
A robust and reliable semantic segmentation in adverse weather conditions is very important for autonomous cars, but most state-of-the-art approaches only achieve high accuracy rat…
cs.CV2019
Semantic Segmentation of Video Sequences with Convolutional LSTMs
Andreas Pfeuffer, Karina Schulz, Klaus Dietmayer
Most of the semantic segmentation approaches have been developed for single image segmentation, and hence, video sequences are currently segmented by processing each frame of the v…