Learning to Align Images Using Weak Geometric Supervision
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Byron Boots | Ranveer Chandra | Frank Dellaert | Jing Dong | Sudipta N. Sinha | Byron Boots | F. Dellaert | Jing Dong | Ranveer Chandra
[1] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[2] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[3] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[4] Stefano Soatto,et al. Domain-size pooling in local descriptors: DSP-SIFT , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Gang Hua,et al. Discriminative Learning of Local Image Descriptors , 1990, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Shengcai Liao,et al. Learning Face Representation from Scratch , 2014, ArXiv.
[7] Jiri Matas,et al. MODS: Fast and robust method for two-view matching , 2015, Comput. Vis. Image Underst..
[8] Gustavo Carneiro,et al. Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Krystian Mikolajczyk,et al. PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors , 2016, ArXiv.
[10] Sabine Süsstrunk,et al. Multi-spectral SIFT for scene category recognition , 2011, CVPR 2011.
[11] Guy Marchal,et al. Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.
[12] Torsten Sattler,et al. Comparative Evaluation of Hand-Crafted and Learned Local Features , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Andrew Zisserman,et al. Learning Local Feature Descriptors Using Convex Optimisation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Nikos Komodakis,et al. Learning to compare image patches via convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Josef Sivic,et al. Convolutional Neural Network Architecture for Geometric Matching , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Pascal Fua,et al. Beyond Sharing Weights for Deep Domain Adaptation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Antonio Torralba,et al. SIFT Flow: Dense Correspondence across Scenes and Its Applications , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Andrea Vedaldi,et al. HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.
[21] Jean-Michel Morel,et al. ASIFT: An Algorithm for Fully Affine Invariant Comparison , 2011, Image Process. Line.
[22] Yoichi Sato,et al. Joint Recovery of Dense Correspondence and Cosegmentation in Two Images , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] G Learned-MillerErik. Data Driven Image Models through Continuous Joint Alignment , 2006 .
[24] Iasonas Kokkinos,et al. Discriminative Learning of Deep Convolutional Feature Point Descriptors , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[25] Jean Ponce,et al. Proposal Flow , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Andrea Vedaldi,et al. Fully-trainable deep matching , 2016, BMVC.
[27] Edward Y. Chang,et al. CLKN: Cascaded Lucas-Kanade Networks for Image Alignment , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Hongdong Li,et al. Self-Supervised Learning for Stereo Matching with Self-Improving Ability , 2017, ArXiv.
[29] 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).
[30] Chia-Ling Tsai,et al. Registration of Challenging Image Pairs: Initialization, Estimation, and Decision , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[32] Qi Zhang,et al. Multi-modal and Multi-spectral Registration for Natural Images , 2014, ECCV.
[33] Simon Lucey,et al. Inverse Compositional Spatial Transformer Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Nicu Sebe,et al. Knowledge adaptation for ad hoc multimedia event detection with few exemplars , 2012, ACM Multimedia.
[35] Philippe C. Cattin,et al. Non-rigid registration of multi-modal images using both mutual information and cross-correlation , 2008, Medical Image Anal..
[36] Cordelia Schmid,et al. DeepFlow: Large Displacement Optical Flow with Deep Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[37] Dieter Fox,et al. Self-Supervised Visual Descriptor Learning for Dense Correspondence , 2017, IEEE Robotics and Automation Letters.
[38] Honglak Lee,et al. Learning to Align from Scratch , 2012, NIPS.
[39] David R. Haynor,et al. PET-CT image registration in the chest using free-form deformations , 2003, IEEE Transactions on Medical Imaging.
[40] Vladimir Kolmogorov,et al. Visual correspondence using energy minimization and mutual information , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[41] Josef Sivic,et al. End-to-End Weakly-Supervised Semantic Alignment , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[42] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[43] Cristhian Aguilera,et al. Learning Cross-Spectral Similarity Measures with Deep Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[44] Matthew A. Brown,et al. Learning Local Image Descriptors , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Yann LeCun,et al. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches , 2015, J. Mach. Learn. Res..
[46] Vincent Lepetit,et al. LIFT: Learned Invariant Feature Transform , 2016, ECCV.
[47] Xiao Xiang Zhu,et al. A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes , 2017, 2017 Joint Urban Remote Sensing Event (JURSE).
[48] Erik G. Learned-Miller,et al. Unsupervised Joint Alignment of Complex Images , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[49] Erik G. Learned-Miller,et al. Data driven image models through continuous joint alignment , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Olivier D. Faugeras,et al. Variational Methods for Multimodal Image Matching , 2002, International Journal of Computer Vision.
[51] Sabine Süsstrunk,et al. Multispectral interest points for RGB-NIR image registration , 2011, 2011 18th IEEE International Conference on Image Processing.
[52] Krystian Mikolajczyk,et al. Learning local feature descriptors with triplets and shallow convolutional neural networks , 2016, BMVC.
[53] N. C.. Dimensional Analysis , 1932, Nature.
[54] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[56] Anil K. Jain,et al. On-line signature verification, , 2002, Pattern Recognit..
[57] Lorenzo Torresani,et al. Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.