Fetching the paper…
Reading the bibliography…
Many applications in robotics and human-computer interaction can benefit from understanding 3D motion of points in a dynamic environment, widely noted as scene flow.
A method for registration of 3-d shapes
P. J. Besl and N. D. McKay · 1992
Earlier work this paper cites.
Three-dimensional scene flow
S. Vedula, S. Baker, P. Rander, R. Collins, and T. Kanade · 1999
Earlier work this paper cites.
A variational method for scene flow estimation from stereo sequences
F. Huguet and F. Devernay · 2007
Earlier work this paper cites.
Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score
J.-P. Pons, R. Keriven, and O. Faugeras · 2007
Earlier work this paper cites.
Efficient dense scene flow from sparse or dense stereo data
A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke, and D. Cremers · 2008
Earlier work this paper cites.
Unique signatures of histograms for local surface description
F. Tombari, S. Salti, and L. Di Stefano · 2010
Earlier work this paper cites.
Joint estimation of motion, structure and geometry from stereo sequences
L. Valgaerts, A. Bruhn, H. Zimmer, J. Weickert, C. Stoll, and C. Theobalt · 2010
Earlier work this paper cites.
Large displacement optical flow: Descriptor matching in variational motion estimation
T. Brox and J. Malik · 2011
Earlier work this paper cites.
Scene flow estimation by growing correspondence seeds
J. Čech, J. Sanchez-Riera, and R. Horaud · 2011
Earlier work this paper cites.
Kinecting the dots: Particle based scene flow from depth sensors
S. Hadfield and R. Bowden · 2011
Earlier work this paper cites.
3d scene flow estimation with a rigid motion prior
C. Vogel, K. Schindler, and S. Roth · 2011
Earlier work this paper cites.
Stereoscopic scene flow computation for 3d motion understanding
A. Wedel, T. Brox, T. Vaudrey, C. Rabe, U. Franke, and D. Cremers · 2011
Earlier work this paper cites.
Multi-view scene flow estimation: A view centered variational approach
T. Basha, Y. Moses, and N. Kiryati · 2013
Cited alongside, same era.
Rgb-d flow: Dense 3-d motion estimation using color and depth
E. Herbst, X. Ren, and D. Fox · 2013
Cited alongside, same era.
Piecewise rigid scene flow
C. Vogel, K. Schindler, and S. Roth · 2013
Cited alongside, same era.
Sphereflow: 6 dof scene flow from rgb-d pairs
M. Hornacek, A. Fitzgibbon, and C. Rother · 2014
Cited alongside, same era.
Dense semi-rigid scene flow estimation from rgbd images
J. Quiroga, T. Brox, F. Devernay, and J. Crowley · 2014
Cited alongside, same era.
ShapeNet: An Information-Rich 3D Model Repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
3d shapenets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
Later among the works it cites.
Tensorflow: A system for large-scale machine learning
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, et al · 2016
Later among the works it cites.
Rigid scene flow for 3d lidar scans
A. Dewan, T. Caselitz, G. D. Tipaldi, and W. Burgard · 2016
Later among the works it cites.
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N. Mayer, E. Ilg, P. Häusser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox · 2016
Later among the works it cites.
Flownet 2.0: Evolution of optical flow estimation with deep networks
E. Ilg, N. Mayer, T. Saikia, M. Keuper, A. Dosovitskiy, and T. Brox · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Flownet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischery, E. Ilg, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, and T. Brox · 2015
Cited alongside, same era.
A primal-dual framework for real-time dense rgb-d scene flow
M. Jaimez, M. Souiai, J. Gonzalez-Jimenez, and D. Cremers · 2015
Cited alongside, same era.
Object scene flow for autonomous vehicles
M. Menze and A. Geiger · 2015
Cited alongside, same era.
Joint 3d estimation of vehicles and scene flow
M. Menze, C. Heipke, and A. Geiger · 2015
Cited alongside, same era.
Layered rgbd scene flow estimation
D. Sun, E. B. Sudderth, and H. Pfister · 2015
Cited alongside, same era.
3d scene flow estimation with a piecewise rigid scene model
C. Vogel, K. Schindler, and S. Roth · 2015
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
Later among the works it cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Later among the works it cites.
A learning approach for real-time temporal scene flow estimation from lidar data
A. K. Ushani, R. W. Wolcott, J. M. Walls, and R. M. Eustice · 2017
Later among the works it cites.
Pointflownet: Learning representations for 3d scene flow estimation from point clouds
A. Behl, D. Paschalidou, S. Donné, and A. Geiger · 2018
Closest in time.
Motion-based object segmentation based on dense rgb-d scene flow
L. Shao, P. Shah, V. Dwaracherla, and J. Bohg · 2018
Closest in time.
Deep parametric continuous convolutional neural networks
S. Wang, S. Suo, W.-C. M. A. Pokrovsky, and R. Urtasun · 2018
Closest in time.