Deep learning for vanishing point detection using an inverse gnomonic projection F Kluger, H Ackermann, MY Yang, B Rosenhahn German Conference on Pattern Recognition, 17-28, 2017 | 27 | 2017 |
Consac: Robust multi-model fitting by conditional sample consensus F Kluger, E Brachmann, H Ackermann, C Rother, MY Yang, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 8 | 2020 |
Codec independent region of interest video coding using a joint pre-and postprocessing framework H Meuel, M Munderloh, F Kluger, J Ostermann 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016 | 7 | 2016 |
Temporally consistent horizon lines F Kluger, H Ackermann, MY Yang, B Rosenhahn 2020 IEEE International Conference on Robotics and Automation (ICRA), 3161-3167, 2020 | 6 | 2020 |
Region-based cycle-consistent data augmentation for object detection F Kluger, C Reinders, K Raetz, P Schelske, B Wandt, H Ackermann, ... 2018 IEEE International Conference on Big Data (Big Data), 5205-5211, 2018 | 6 | 2018 |
Illumination change robust, codec independent lowbit rate coding of stereo from singleview aerial video H Meuel, F Kluger, J Ostermann 2016 3DTV-Conference: The True Vision-Capture, Transmission and Display of …, 2016 | 2 | 2016 |
Technical Report (Oct. 2015): Region of Interest Coding for Aerial Surveillance Video Using AVC & HEVC H Meuel, F Kluger, J Ostermann | 1 | 2015 |
Region of Interest (ROI) Coding for Aerial Surveillance Video using AVC & HEVC H Meuel, F Kluger, J Ostermann arXiv preprint arXiv:1801.06442, 2018 | | 2018 |
Robust Long-Term Aerial Video Mosaicking by Weighted Feature-based Global Motion Estimation H Meuel, S Ferenz, F Kluger, J Ostermann International Conference on Computer Analysis of Images and Patterns, 135-147, 2017 | | 2017 |