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Long Quan | Yao Yao | Tian Fang | Shiwei Li | Zixin Luo | Long Quan | Tian Fang | Yao Yao | Shiwei Li | Zixin Luo
[1] Simon Fuhrmann,et al. MVE - A Multi-View Reconstruction Environment , 2014, GCH.
[2] Jitendra Malik,et al. Learning a Multi-View Stereo Machine , 2017, NIPS.
[3] Heiko Hirschmüller,et al. Evaluation of Cost Functions for Stereo Matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Jan-Michael Frahm,et al. Pixelwise View Selection for Unstructured Multi-View Stereo , 2016, ECCV.
[5] Thomas Brox,et al. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Jean-Philippe Pons,et al. High Accuracy and Visibility-Consistent Dense Multiview Stereo , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[10] Lu Fang,et al. SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[11] Long Quan,et al. Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-view Stereo , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[12] Thomas Pock,et al. End-to-End Training of Hybrid CNN-CRF Models for Stereo , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Heiko Hirschmüller,et al. Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Michael Goesele,et al. Shading-Aware Multi-view Stereo , 2016, ECCV.
[15] ARNO KNAPITSCH,et al. Tanks and temples , 2017, ACM Trans. Graph..
[16] Roberto Cipolla,et al. Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo , 2008, ECCV.
[17] Luc Van Gool,et al. Learned Multi-patch Similarity , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Kiriakos N. Kutulakos,et al. A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.
[19] Konrad Schindler,et al. Massively Parallel Multiview Stereopsis by Surface Normal Diffusion , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Ning Xu,et al. Deep Image Matting , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Pascal Fua,et al. Efficient large-scale multi-view stereo for ultra high-resolution image sets , 2011, Machine Vision and Applications.
[22] Marc Pollefeys,et al. SGM-Nets: Semi-Global Matching with Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Anders Bjorholm Dahl,et al. Large-Scale Data for Multiple-View Stereopsis , 2016, International Journal of Computer Vision.
[24] Michael M. Kazhdan,et al. Screened poisson surface reconstruction , 2013, TOGS.
[25] Rahul Sukthankar,et al. MatchNet: Unifying feature and metric learning for patch-based matching , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Andreas Geiger,et al. Object scene flow for autonomous vehicles , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Robert T. Collins,et al. A space-sweep approach to true multi-image matching , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[29] Yann LeCun,et al. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches , 2015, J. Mach. Learn. Res..
[30] Simon Fuhrmann,et al. MVE - An image-based reconstruction environment , 2015, Comput. Graph..
[31] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Raquel Urtasun,et al. Efficient Deep Learning for Stereo Matching , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Long Quan,et al. Relative Camera Refinement for Accurate Dense Reconstruction , 2017, 2017 International Conference on 3D Vision (3DV).
[34] Steven M. Seitz,et al. Photorealistic Scene Reconstruction by Voxel Coloring , 1997, International Journal of Computer Vision.
[35] Jan-Michael Frahm,et al. Real-Time Visibility-Based Fusion of Depth Maps , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[36] Alex Kendall,et al. End-to-End Learning of Geometry and Context for Deep Stereo Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[37] Long Quan,et al. A quasi-dense approach to surface reconstruction from uncalibrated images , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.