gvnn: Neural Network Library for Geometric Computer Vision
暂无分享,去创建一个
Viorica Patraucean | Andrew J. Davison | Simon Stent | Michael Blösch | Ankur Handa | John McCormac | A. Davison | Viorica Patraucean | Ankur Handa | Michael Blösch | Simon Stent | J. McCormac
[1] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[2] Michael J. Black,et al. Robust dynamic motion estimation over time , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Michael J. Black,et al. A framework for the robust estimation of optical flow , 1993, 1993 (4th) International Conference on Computer Vision.
[4] Wojciech Chojnacki,et al. Determining the egomotion of an uncalibrated camera from instantaneous optical flow , 1997 .
[5] Guillermo Sapiro,et al. Robust anisotropic diffusion , 1998, IEEE Trans. Image Process..
[6] Roberto Cipolla,et al. Visual tracking and control using Lie algebras , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[7] Gerd Hirzinger,et al. Optimal Hand-Eye Calibration , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[8] Alfred M. Bruckstein,et al. Over-Parameterized Variational Optical Flow , 2007, International Journal of Computer Vision.
[9] M. Pauly,et al. Embedded deformation for shape manipulation , 2007, SIGGRAPH 2007.
[10] Antonin Chambolle,et al. A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging , 2011, Journal of Mathematical Imaging and Vision.
[11] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[12] Carsten Rother,et al. PatchMatch Stereo - Stereo Matching with Slanted Support Windows , 2011, BMVC.
[13] Horst Bischof,et al. TGV-Fusion , 2011, Rainbow of Computer Science.
[14] Anthony J. Yezzi,et al. A Compact Formula for the Derivative of a 3-D Rotation in Exponential Coordinates , 2013, Journal of Mathematical Imaging and Vision.
[15] Andrew W. Fitzgibbon,et al. Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation , 2014, ECCV.
[16] Andrew W. Fitzgibbon,et al. Real-time non-rigid reconstruction using an RGB-D camera , 2014, ACM Trans. Graph..
[17] Andrew J. Davison,et al. A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[18] Yang Wang,et al. rnn : Recurrent Library for Torch , 2015, ArXiv.
[19] Michael Bosse,et al. Keyframe-based visual–inertial odometry using nonlinear optimization , 2015, Int. J. Robotics Res..
[20] Viorica Patraucean,et al. Spatio-temporal video autoencoder with differentiable memory , 2015, ArXiv.
[21] Roberto Cipolla,et al. SceneNet: Understanding Real World Indoor Scenes With Synthetic Data , 2015, ArXiv.
[22] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[23] Jitendra Malik,et al. Learning to See by Moving , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[24] Dieter Fox,et al. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[26] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[27] Gustavo Carneiro,et al. Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue , 2016, ECCV.
[28] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[29] Sepp Hochreiter,et al. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , 2015, ICLR.