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@inproceedings{Wedel-et-al-08,
author = {A. Wedel and C. Rabe and T. Vaudrey and T. Brox and U. Franke and D. Cremers},
title = {Efficient Dense Scene Flow from Sparse or Dense
Stereo Data},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2008},
address = {Marseille, France},
month = {October},
titleurl = {wedel_et_al_eccv08.pdf},
topic = {Motion},
keywords = {optical-flow,scene-flow},
}
@book{wedel-cremers-11,
author = {A. Wedel and D. Cremers},
title = {Stereoscopic Scene Flow for 3D Motion Analysis},
publisher = {Springer},
year = {2011},
keywords = {optic-flow,scene-flow},
doi = {http://www.springer.com/computer/image+processing/book/978-0-85729-964-2},
}
@article{Wedel-et-al-ijcv11,
author = {A. Wedel and T. Brox and T. Vaudrey and C. Rabe and U. Franke and D. Cremers},
title = {Stereoscopic Scene Flow Computation for 3D Motion Understanding},
journal = {International Journal of Computer Vision},
year = {2011},
volume = {95},
number = {1},
pages = {29--51},
titleurl = {wedel_et_al_ijcv11.pdf},
keywords = {optical-flow,scene-flow},
}
@inproceedings{Wedel-et-al-emmcvpr09,
author = {A. Wedel and C. Rabe and A. Meissner and U. Franke and D. Cremers},
title = {Detection and Segmentation of Independently Moving Objects
from Dense Scene Flow},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
volume = {5681},
editor = {D. Cremers and Y. Boykov and A. Blake and F. R. Schmidt},
series = {LNCS},
year = {2009},
keywords = {scene-flow},
titleurl = {wedel_et_al_emmcvpr09.pdf},
}
@inproceedings{jaimez15icra,
author = {M. Jaimez and M. Souiai and J. Gonzalez-Jimenez and D. Cremers},
title = {A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2015},
keywords = {scene-flow,rgb-d,primal-dual,real time},
titleurl = {jaimez_et_al_15.pdf},
}
@inproceedings{jaimez2017icra,
author = {M. Jaimez and C. Kerl and J. Gonzalez-Jimenez and D. Cremers},
title = {Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2017},
titleurl = {jaimez_et_al_vosf_2017.pdf},
keywords = {rgb-d,scene-flow},
}
@inproceedings{jaimez15_mocoop,
author = {M. Jaimez and M. Souiai and J. Stueckler and J. Gonzalez-Jimenez and D. Cremers},
title = {Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images},
booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
month = {oct},
year = {2015},
keywords = {scene-flow,motion segmentation,rgb-d,primal-dual},
titleurl = {jaimez_et_al_3dv15.pdf},
}
@inproceedings{golyanik2017multiframe,
title = {Multiframe Scene Flow with Piecewise Rigid Motion},
author = {V. Golyanik and K. Kim and R. Maier and M. Niessner and D. Stricker and J. Kautz},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2017},
month = {October},
address = {Qingdao, China},
award = {Spotlight Presentation},
keywords = {scene-flow,motion segmentation,rgb-d},
}