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Xiaowei Zhou | Kostas Daniilidis | Carlos Esteves | Christine Allen-Blanchette | Kostas Daniilidis | Carlos Esteves | Christine Allen-Blanchette | Xiaowei Zhou
[1] Gregory S. Chirikjian,et al. Algorithms for Fast Convolutions on Motion Groups , 2000 .
[2] Yacov Hel-Or,et al. Canonical Decomposition of Steerable Functions , 2004, Journal of Mathematical Imaging and Vision.
[3] Nikos Komodakis,et al. Rotation Equivariant Vector Field Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Stefano Soatto,et al. Actionable information in vision , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[5] Leonidas J. Guibas,et al. Volumetric and Multi-view CNNs for Object Classification on 3D Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[7] Sebastian Scherer,et al. VoxNet: A 3D Convolutional Neural Network for real-time object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[8] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Jonathan Tompson,et al. Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation , 2014, NIPS.
[10] Yoshua Bengio,et al. An empirical evaluation of deep architectures on problems with many factors of variation , 2007, ICML '07.
[11] Qiang Qiu,et al. Oriented Response Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Imre Kiss,et al. A New Implementation of the Mellin Transform and its Application to Radar Classification of Ships , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Stephan J. Garbin,et al. Harmonic Networks: Deep Translation and Rotation Equivariance , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Gösta H. Granlund,et al. Equivariance and invariance-an approach based on Lie groups , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[15] M. Ferraro,et al. Relationship between integral transform invariances and Lie group theory , 1988 .
[16] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Max Welling,et al. Group Equivariant Convolutional Networks , 2016, ICML.
[18] Arnold W. M. Smeulders,et al. Dynamic Steerable Blocks in Deep Residual Networks , 2017, BMVC.
[19] G. Granlund. In search of a general picture processing operator , 1978 .
[20] Demetri Psaltis,et al. Scale Invariant Optical Transform , 1976 .
[21] Jia Deng,et al. Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.
[22] Pedro M. Domingos,et al. Deep Symmetry Networks , 2014, NIPS.
[23] Yehoshua Y. Zeevi,et al. The Canonical Coordinates Method for Pattern Deformation: Theoretical and Computational Considerations , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Edward H. Adelson,et al. Shiftable multiscale transforms , 1992, IEEE Trans. Inf. Theory.
[25] Thomas Brox,et al. Orientation-boosted Voxel Nets for 3D Object Recognition , 2016, BMVC.
[26] Yacov Hel-Or,et al. Design of multi-parameter steerable functions using cascade basis reduction , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[27] Christian Szegedy,et al. DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[28] T. Lindeberg. Scale-Space Theory : A Basic Tool for Analysing Structures at Different Scales , 1994 .
[29] James L. Crowley,et al. Local Scale Selection for Gaussian Based Description Techniques , 2000, ECCV.
[30] Andrea Vedaldi,et al. Understanding Image Representations by Measuring Their Equivariance and Equivalence , 2014, International Journal of Computer Vision.
[31] Andrea Vedaldi,et al. Warped Convolutions: Efficient Invariance to Spatial Transformations , 2016, ICML.
[32] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[33] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[34] Max Welling,et al. Steerable CNNs , 2016, ICLR.
[35] Sander Dieleman,et al. Rotation-invariant convolutional neural networks for galaxy morphology prediction , 2015, ArXiv.
[36] Edward H. Adelson,et al. The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[37] Stéphane Mallat,et al. Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .