11 citations · 24 across the 14 of their papers we have counts for
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cs.AI2017★ 1 cited
Simulated Autonomous Driving on Realistic Road Networks using Deep Reinforcement Learning
Patrick Klose, Rudolf Mester
Using Deep Reinforcement Learning (DRL) can be a promising approach to handle various tasks in the field of (simulated) autonomous driving. However, recent publications mainly cons…
cs.CV2017★ 2 cited
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences
Henry Bradler, Matthias Ochs, Rudolf Mester
Traditionally, pose estimation is considered as a two step problem. First, feature correspondences are determined by direct comparison of image patches, or by associating feature d…
cs.CV2017
Learning Rank Reduced Interpolation with Principal Component Analysis
Matthias Ochs, Henry Bradler, Rudolf Mester
In computer vision most iterative optimization algorithms, both sparse and dense, rely on a coarse and reliable dense initialization to bootstrap their optimization procedure. For…