gvnn: Neural Network Library for Geometric Computer Vision

An Iterative Image Registration Technique with an Application to Stereo Vision

Lucas, B.D., Kanade, T.: · 1981

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Robust dynamic motion estimation over time

Black, M., Anandan, P.: · 1991

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A framework for the robust estimation of optical flow

Black, M.J., Anandan, P.: · 1993

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Determining the egomotion of an uncalibrated camera from instantaneous optical flow

Brooks, M.J., Chojnacki, W., Baumela, L.: · 1997

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Robust anisotropic diffusion

Black, M.J., Sapiro, G., Marimont, D.H., Heeger, D.: · 1998

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Visual tracking and control using Lie algebras

Drummond, T., Cipolla, R.: · 1999

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Optimal hand-eye calibration

Strobl, K.H., Hirzinger, G.: · 2006

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Embedded deformation for shape manipulation

Sumner, R.W., Schmid, J., Pauly, M.: · 2007

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Over-parameterized variational optical flow

Nir, T., Bruckstein, A.M., Kimmel, R.: · 2008

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Torch7: A matlab-like environment for machine learning

Collobert, R., Kavukcuoglu, K., Farabet, C.: · 2011

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PatchMatch Stereo — Stereo Matching with Slanted Support Windows

Bleyer, M., Rhemann, C., Rother, C.: · 2011

Cited alongside, same era.

TGV-Fusion

Pock, T., Zebedin, L., Bischof, H.: · 2011

Cited alongside, same era.

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

Chambolle, A., Pock, T.: · 2011

Cited alongside, same era.

A compact formula for the derivative of a 3-d rotation in exponential coordinates

Gallego, G., Yezzi, A.J.: · 2013

Cited alongside, same era.

Highly overparameterized optical flow using patchmatch belief propagation

Hornáček, M., Besse, F., Kautz, J., Fitzgibbon, A., Rother, C.: · 2014

Cited alongside, same era.

Real-time non-rigid reconstruction using an rgb-d camera

Zollhöfer, M., Nießner, M., Izadi, S., Rehmann, C., Zach, C., Fisher, M., Wu, C., Fitzgibbon, A., Loop, C., Theobalt, C., et al.: · 2014

Open Source Implementation of Spatial Transformer Networks

Moodstocks: · 2015

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Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time

Newcombe, R.A., Fox, D., Seitz, S.M.: · 2015

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Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., Zisserman, A.: · 2015

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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

He, K., Zhang, X., Ren, S., Sun, J.: · 2015

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Learning to see by moving

Agrawal, P., Carreira, J., Malik, J.: · 2015

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SceneNet: Understanding Real World Indoor Scenes With Synthetic Data

Original

Handa, A., Pătrăucean, V., Badrinarayanan, V., Stent, S., Cipolla, R.: · 2015