Exploring local rotation invariance in 3d cnns with steerable filters, 2018. ,
, Point convolutional neural networks by extension operators, vol.5, p.6, 2004.
The protein data bank, Nucleic acids research, vol.28, issue.1, pp.235-242, 2000. ,
Dynamic FAUST: Registering human bodies in motion, Proc. CVPR, 2007. ,
Group equivariant convolutional networks, ICML, pp.2990-2999, 2016. ,
, , 2018.
The design and use of steerable filters, IEEE Transactions on Pattern Analysis & Machine Intelligence, issue.9, pp.891-906, 1991. ,
Pcpnet learning local shape properties from raw point clouds, Computer Graphics Forum, vol.37, pp.75-85, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01741744
Monte carlo convolution for learning on nonuniformly sampled point clouds, SIGGRAPH Asia, p.235, 2018. ,
Pointwise convolutional neural networks, Proc. CVPR, pp.984-993, 2018. ,
Spatial transformer networks, NIPS, pp.2017-2025, 2015. ,
Noncoding RNA analysis using the RFAM database, Current protocols in bioinformatics, vol.62, issue.7, p.51, 2018. ,
Rotation invariant spherical harmonic representation of 3 d shape descriptors, Symposium on geometry processing, vol.6, pp.156-164, 2003. ,
Escape from cells: Deep kdnetworks for the recognition of 3d point cloud models, Proc. ICCV, pp.863-872, 2017. ,
On the generalization of equivariance and convolution in neural networks to the action of compact groups, 2018. ,
Pointcnn: Convolution on x-transformed points, NIPS, pp.820-830, 2018. ,
Geodesic convolutional neural networks on riemannian manifolds, Proc. ICCV workshops, pp.37-45, 2015. ,
Geometric deep learning on graphs and manifolds using mixture model cnns, Proc. CVPR, vol.1, pp.5115-5124, 2017. ,
A general method applicable to the search for similarities in the amino acid sequence of two proteins, Journal of molecular biology, vol.48, pp.443-453, 1970. ,
Ucsf chimera-a visualization system for exploratory research and analysis, Journal of computational chemistry, vol.25, pp.1605-1612, 2004. ,
Multi-directional geodesic neural networks via equivariant convolution, Proc. SIG-GRAPH Asia, p.236, 2018. ,
Pointnet: Deep learning on point sets for 3d classification and segmentation, Proc. CVPR, vol.1, pp.652-660, 2017. ,
Pointnet++: Deep hierarchical feature learning on point sets in a metric space, NIPS, pp.5099-5108, 2006. ,
Multiview convolutional neural networks for 3d shape recognition, Proc. ICCV, pp.945-953, 2015. ,
, Tensor field networks: Rotationand translation-equivariant neural networks for 3d point clouds, 2018.
, Dynamic graph cnn for learning on point clouds, vol.2, p.5, 2018.
3d steerable cnns: Learning rotationally equivariant features in volumetric data, NIPS, vol.2, p.3, 2018. ,
Learning steerable filters for rotation equivariant cnns, Proc. CVPR, pp.849-858, 2018. ,
Group theory and its application to the quantum mechanics of atomic spectra, 1959. ,
Cubenet: Equivariance to 3d rotation and translation, Proc. ECCV, pp.567-584, 2018. ,
3d shapenets: A deep representation for volumetric shapes, Proc. CVPR, vol.1, p.6, 2015. ,
Data-driven shape analysis and processing, SIGGRAPH ASIA 2016 Courses, 2016. ,
, Prin: Pointwise rotation-invariant network, p.7, 2006.
Punet: Point cloud upsampling network, Proc. CVPR, 2018. ,
Pcn: Point completion network, 3DV, pp.728-737, 2018. ,