Papers

• M\"obius Invariants of Shapes and Images (2016)
  Stephen Marsland and Robert McLachlan
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• Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons (Extended Version) (2016)
  Piotr Koniusz and Anoop Cherian and Fatih Porikli
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• Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations (2016)
  Mario Valerio Giuffrida and Sotirios A. Tsaftaris
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• Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video (2016)
  Zhiwu Huang et al.
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• Warped Convolutions: Efficient Invariance to Spatial Transformations (2016)
  Jo\~ao F. Henriques et al.
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• A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses (2016)
  Matteo Ruggero Ronchi et al.
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• View-Invariant Template Matching Using Homography Constraints (2017)
  Sina Lotfian and Hassan Foroosh
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• Deep Rotation Equivariant Network (2017)
  Junying Li et al.
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• Rotation Invariance Neural Network (2017)
  Shiyuan Li
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• Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices (2017)
  Mohamed Daoudi et al.
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• A Compact Kernel Approximation for 3D Action Recognition (2017)
  Jacopo Cavazza et al.
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• Roto-Translation Covariant Convolutional Networks for Medical Image Analysis (2018)
  Erik J Bekkers et al.
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• CubeNet: Equivariance to 3D Rotation and Translation (2018)
  Daniel Worrall and Gabriel Brostow
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• RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks (2018)
  Xiuyuan Cheng et al.
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• A Binary Optimization Approach for Constrained K-Means Clustering (2018)
  Huu Le et al.
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• A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking (2020)
  K. Makki et al.
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• Interpretable Image Clustering via Diffeomorphism-Aware K-Means (2020)
  Romain Cosentino et al.
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• On a realization of motion and similarity group equivalence classes of labeled points in R^k with applications to computer vision (2021)
  Steven B. Damelin et al.
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• Equivariant Single View Pose Prediction Via Induced and Restricted Representations (2023)
  Owen Howell et al.
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