Evolution of a Tracking System. - Sebastian Lieberknecht; Quintus Stierstorfer; Georg Kuschk; Daniel Ulbricht; Marion Langer; Selim Benhimane (Handbook of Augmented Reality, 2011)

Dense multi-view stereo from satellite imagery. - Pablo d'Angelo; Georg Kuschk (IGARSS, 2012)

Fast and Accurate Large-Scale Stereo Reconstruction Using Variational Methods. - Georg Kuschk; Daniel Cremers (ICCV Workshops, 2013)

Real-time variational stereo reconstruction with applications to large-scale dense SLAM. - Georg Kuschk; Aljaz Bozic; Daniel Cremers (Intelligent Vehicles Symposium, 2017)

Spatially Regularized Fusion of Multiresolution Digital Surface Models. - Georg Kuschk; Pablo d'Angelo; David Gaudrie; Peter Reinartz; Daniel Cremers (IEEE Trans. Geosci. Remote. Sens., 2017)

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. - René Schuster; Oliver Wasenmüller; Georg Kuschk; Christian Bailer; Didier Stricker (WACV, 2018)

Efficient Large-Scale Stereo Reconstruction using Variational Methods. - Georg Kuschk (2019)

Complex-Valued Convolutional Neural Networks for Automotive Scene Classification Based on Range-Beam-Doppler Tensors. - Michael Meyer; Georg Kuschk; Sven Tomforde (ITSC, 2020)

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. - René Schuster; Oliver Wasenmüller; Christian Unger; Georg Kuschk; Didier Stricker (Int. J. Comput. Vis., 2020)

Graph Convolutional Networks for 3D Object Detection on Radar Data. - Michael Meyer; Georg Kuschk; Sven Tomforde (ICCVW, 2021)

Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object Detection. - Michael Meyer; Marc Unzueta; Georg Kuschk; Sven Tomforde (ECCV Workshops (1), 2022)