4 citations · 7 across the 9 of their papers we have counts for
17 papers · 1 filter
LeanStereo: A Leaner Backbone based Stereo Network
Rafia Rahim, Samuel Woerz, Andreas Zell
Recently, end-to-end deep networks based stereo matching methods, mainly because of their performance, have gained popularity. However, this improvement in performance comes at the…
Distilling Stereo Networks for Performant and Efficient Leaner Networks
Rafia Rahim, Samuel Woerz, Andreas Zell
Knowledge distillation has been quite popular in vision for tasks like classification and segmentation however not much work has been done for distilling state-of-the-art stereo ma…
Stable Yaw Estimation of Boats from the Viewpoint of UAVs and USVs
Benjamin Kiefer, Timon Höfer, Andreas Zell
Yaw estimation of boats from the viewpoint of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) or boats is a crucial task in various applications such as 3D sce…
SpinDOE: A ball spin estimation method for table tennis robot
Thomas Gossard, Jonas Tebbe, Andreas Ziegler +1
Spin plays a considerable role in table tennis, making a shot's trajectory harder to read and predict. However, the spin is challenging to measure because of the ball's high veloci…
Memory Maps for Video Object Detection and Tracking on UAVs
Benjamin Kiefer, Yitong Quan, Andreas Zell
This paper introduces a novel approach to video object detection detection and tracking on Unmanned Aerial Vehicles (UAVs). By incorporating metadata, the proposed approach creates…
Wavelength-aware 2D Convolutions for Hyperspectral Imaging
Leon Amadeus Varga, Martin Messmer, Nuri Benbarka +1
Deep Learning could drastically boost the classification accuracy for Hyperspectral Imaging (HSI). Still, the training on the mostly small hyperspectral data sets is not trivial. T…