| Flownet 2.0: Evolution of optical flow estimation with deep networks E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3226 | 2017 |
| Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering M Keuper, S Tang, B Andres, T Brox, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 308* | 2018 |
| Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions R Durall, M Keuper, J Keuper Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 224 | 2020 |
| Motion trajectory segmentation via minimum cost multicuts M Keuper, B Andres, T Brox Proceedings of the IEEE international conference on computer vision, 3271-3279, 2015 | 223 | 2015 |
| Unmasking deepfakes with simple features R Durall, M Keuper, FJ Pfreundt, J Keuper arXiv preprint arXiv:1911.00686, 2019 | 200 | 2019 |
| Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation E Ilg, T Saikia, M Keuper, T Brox Proceedings of the European conference on computer vision (ECCV), 614-630, 2018 | 197 | 2018 |
| Nas-bench-301 and the case for surrogate benchmarks for neural architecture search JN Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter | 150 | 2020 |
| Efficient decomposition of image and mesh graphs by lifted multicuts M Keuper, E Levinkov, N Bonneel, G Lavoué, T Brox, B Andres Proceedings of the IEEE international conference on computer vision, 1751-1759, 2015 | 143 | 2015 |
| Std2p: Rgbd semantic segmentation using spatio-temporal data-driven pooling Y He, WC Chiu, M Keuper, M Fritz Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 136 | 2017 |
| Spectral graph reduction for efficient image and streaming video segmentation F Galasso, M Keuper, T Brox, B Schiele Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 96 | 2014 |
| Probflow: Joint optical flow and uncertainty estimation AS Wannenwetsch, M Keuper, S Roth Proceedings of the IEEE international conference on computer vision, 1173-1182, 2017 | 56 | 2017 |
| SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P Harder, FJ Pfreundt, M Keuper, J Keuper 2021 International Joint Conference on Neural Networks (IJCNN),, 2021 | 33 | 2021 |
| Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks A Zela, J Siems, L Zimmer, J Lukasik, M Keuper, F Hutter arXiv preprint arXiv:2008.09777, 2020 | 33 | 2020 |
| Higher-order minimum cost lifted multicuts for motion segmentation M Keuper Proceedings of the IEEE International Conference on Computer Vision, 4242-4250, 2017 | 32 | 2017 |
| Arrow R-CNN for handwritten diagram recognition B Schäfer, M Keuper, H Stuckenschmidt International Journal on Document Analysis and Recognition (IJDAR) 24 (1-2 …, 2021 | 27 | 2021 |
| Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Y He, N Yu, M Keuper, M Fritz Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2021 | 27 | 2021 |
| Hierarchical markov random fields for mast cell segmentation in electron microscopic recordings M Keuper, T Schmidt, M Rodriguez-Franco, W Schamel, T Brox, ... 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 25 | 2011 |
| Blind deconvolution of widefield fluorescence microscopic data by regularization of the optical transfer function (OTF) M Keuper, T Schmidt, M Temerinac-Ott, J Padeken, P Heun, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 22 | 2013 |
| Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration A Kardoost, M Keuper ACCV, 2018 | 21 | 2018 |
| Spectral Distribution aware Image Generation S Jung, M Keuper arXiv preprint arXiv:2012.03110, accepted at AAAI 2021, 2020 | 20 | 2020 |
Thomas BroxUniversity of Freiburg and Amazoncs.uni-freiburg.de의 이메일 확인됨
