Christine Allec-Blanchette

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All published works

Action	Title	Year	Authors
+ PDF Chat	Equivariant Multi-View Networks	2019	Carlos Esteves Yinshuang Xu Christine Allec-Blanchette Kostas Daniilidis

Common Coauthors

Coauthor	Papers Together
Yinshuang Xu	1
Carlos Esteves	1
Kostas Daniilidis	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Symmetry groups and their applications	1972	Willard Miller	1
+ PDF Chat	Multi-view Convolutional Neural Networks for 3D Shape Recognition	2015	Hang Su Subhransu Maji Evangelos Kalogerakis Erik Learned-Miller	1
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	1
+	The canonical coordinates method for pattern deformation: theoretical and computational considerations	1992	Joseph Segman Jacob Rubinstein Y.Y. Zeevi	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs	2017	Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda Michael M. Bronstein	1
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	1
+ PDF Chat	Harmonic Networks: Deep Translation and Rotation Equivariance	2017	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow	1
+ PDF Chat	ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes	2017	Angela Dai Anne Lynn S. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner	1
+ PDF Chat	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis	1
+	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups	2018	Risi Kondor Shubhendu Trivedi	1
+	Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds	2018	Nathaniel Thomas Tess Smidt Steven Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick Riley	1
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2018	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	1
+	3D G-CNNs for Pulmonary Nodule Detection	2018	Marysia Winkels Taco Cohen	1
+	Gauge Equivariant Convolutional Networks and the Icosahedral CNN	2019	Taco Cohen Maurice Weiler Berkay Kicanaoglu Max Welling	1
+ PDF Chat	Learning SO(3) Equivariant Representations with Spherical CNNs	2019	Carlos Esteves Christine Allen-Blanchette Ameesh Makadia Kostas Daniilidis	1
+ PDF Chat	Volumetric and Multi-view CNNs for Object Classification on 3D Data	2016	Charles R. Qi Hao Su Matthias NieBner Angela Dai Mengyuan Yan Leonidas Guibas	1
+ PDF Chat	SPNet: Deep 3D Object Classification and Retrieval Using Stereographic Projection	2019	Mohsen Yavartanoo Eu Young Kim Kyoung Mu Lee	1
+ PDF Chat	Geodesic Convolutional Neural Networks on Riemannian Manifolds	2015	Jonathan Masci Davide Boscaini Michael M. Bronstein Pierre Vandergheynst	1
+ PDF Chat	A Deeper Look at 3D Shape Classifiers	2019	Jong-Chyi Su Matheus Gadelha Rui Wang Subhransu Maji	1
+ PDF Chat	CubeNet: Equivariance to 3D Rotation and Translation	2018	Daniel E. Worrall Gabriel Brostow	1
+	Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network	2018	Risi Kondor Zhen Lin Shubhendu Trivedi	1
+ PDF Chat	Bag of Tricks for Image Classification with Convolutional Neural Networks	2019	Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li	1
+ PDF Chat	Matterport3D: Learning from RGB-D Data in Indoor Environments	2017	Anne Lynn S. Chang Angela Dai Thomas Funkhouser Maciej Halber Matthias NieBner Manolis Savva Shuran Song Andy Zeng Yinda Zhang	1
+ PDF Chat	RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints	2018	Asako Kanezaki Yasuyuki Matsushita Yoshifumi Nishida	1
+	Polar Transformer Networks	2017	Carlos Esteves Christine Allen-Blanchette Xiaowei Zhou Kostas Daniilidis	1
+	Group Equivariant Convolutional Networks	2016	Taco Cohen Max Welling	1
+	A General Theory of Equivariant CNNs on Homogeneous Spaces	2018	Taco Cohen Mario Geiger Maurice Weiler	1
+	Warped Convolutions: Efficient Invariance to Spatial Transformations	2016	João F. Henriques Andrea Vedaldi	1
+	ShapeNet: An Information-Rich 3D Model Repository	2015	Anne Lynn S. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qixing Huang Zimo Li Silvio Savarese Manolis Savva Shuran Song Hao Su	1