Fetching the paper…
Reading the bibliography…
Fundamentals of texture mapping and image warping
Heckbert, Paul S · 1989
Earlier work this paper cites.
A course in abstract harmonic analysis
Folland, Gerald B · 1995
Earlier work this paper cites.
An FFT-based technique for translation, rotation, and scale-invariant image registration
Reddy, B. Srinivasa and Chatterji, Biswanath N · 1996
Earlier work this paper cites.
Learning spatial context: Using stuff to find things
Heitz, Geremy and Koller, Daphne · 2008
Earlier work this paper cites.
Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. , volume 39
Hyvärinen, Aapo, Hurri, Jarmo, and Hoyer, Patrick O · 2009
Earlier work this paper cites.
Understanding digital signal processing
Lyons, Richard G · 2010
Earlier work this paper cites.
Fast algorithms for spherical harmonic expansions, iii
Tygert, Mark · 2010
Earlier work this paper cites.
Robust FFT-based scale-invariant image registration with image gradients
Tzimiropoulos, Georgios, Argyriou, Vasileios, Zafeiriou, Stefanos, and Stathaki, Tania · 2010
Earlier work this paper cites.
Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization
Koestinger, Martin, Wohlhart, Paul, Roth, Peter M., and Bischof, Horst · 2011
Earlier work this paper cites.
Learning rotation-aware features: From invariant priors to equivariant descriptors
Schmidt, Uwe and Roth, Stefan · 2012
Cited alongside, same era.
Learning stable group invariant representations with convolutional networks
Bruna, Joan, Szlam, Arthur, and LeCun, Yann · 2013
Cited alongside, same era.
Learning the Irreducible Representations of Commutative Lie Groups
Cohen, Taco and Welling, Max · 2014
Cited alongside, same era.
Fast training of pose detectors in the fourier domain
Henriques, J. F., Martins, P., Caseiro, R., and Batista, J · 2014
Cited alongside, same era.
Locally scale-invariant convolutional neural networks
Kanazawa, Angjoo, Sharma, Abhishek, and Jacobs, David · 2014
Cited alongside, same era.
Spatial transformer networks
Jaderberg, Max, Simonyan, Karen, Zisserman, Andrew, et al · 2015
Later among the works it cites.
Adam: A method for stochastic optimization
Kingma, Diederik P and Ba, Jimmy Lei · 2015
Later among the works it cites.
Fast algorithms for convolutional neural networks
Lavin, Andrew · 2015
Later among the works it cites.
MatConvNet – Convolutional Neural Networks for MATLAB
Vedaldi, A. and Lenc, K · 2015
Later among the works it cites.
Group equivariant convolutional networks
Cohen, Taco and Welling, Max · 2016
Closest in time.
Deep learning
Goodfellow, Ian, Bengio, Yoshua, and Courville, Aaron · 2016
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates
Liu, Kun, Skibbe, Henrik, Schmidt, Thorsten, Blein, Thomas, Palme, Klaus, Brox, Thomas, and Ronneberger, Olaf · 2014
Cited alongside, same era.
Semantic image segmentation with deep convolutional nets and fully connected CRFs
Chen, Liang-Chieh, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, and Yuille, Alan L · 2015
Cited alongside, same era.
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Dieleman, Sander, Willett, Kyle W, and Dambre, Joni · 2015
Cited alongside, same era.
Li, Yingzhou and Yang, Haizhao · 2016
Closest in time.
Learning rotation invariant convolutional filters for texture classification
Marcos, Diego, Volpi, Michele, and Tuia, Devis · 2016
Closest in time.