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Steerable Transformers for Volumetric Data

24 May 2024

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Papers citing "Steerable Transformers for Volumetric Data"

42 / 42 papers shown

Title
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Sophia Sanborn Johan Mathe Louisa Cornelis Abby Bertics ... Hansen Lillemark Christian Shewmake Fatih Dinc Xavier Pennec Nina Miolane 304 14 0 12 Jul 2024
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree RepresentationsInternational Conference on Learning Representations (ICLR), 2023 Yidong Liao Brandon M. Wood Abhishek Das Tess E. Smidt 406 236 0 21 Jun 2023
$E(2)$ -Equivariant Vision TransformerConference on Uncertainty in Artificial Intelligence (UAI), 2023 Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 232 19 0 11 Jun 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNsInternational Conference on Machine Learning (ICML), 2023 Saro Passaro C. L. Zitnick 3DPC 313 125 0 07 Feb 2023
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic GraphsInternational Conference on Learning Representations (ICLR), 2022 Yi-Lun Liao Tess E. Smidt 326 317 0 23 Jun 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function SpaceInternational Conference on Learning Representations (ICLR), 2022 Evangelos Chatzipantazis Stefanos Pertigkiozoglou Guang Cheng Kostas Daniilidis 3DPC 296 37 0 05 Apr 2022
Early Convolutions Help Transformers See BetterNeural Information Processing Systems (NeurIPS), 2021 Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 346 876 0 28 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physicsNeural Information Processing Systems (NeurIPS), 2021 Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 309 149 0 11 Jun 2021
LieTransformer: Equivariant self-attention for Lie GroupsInternational Conference on Machine Learning (ICML), 2020 M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 442 127 0 20 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 510 950 0 17 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 1.3K 54,134 0 22 Oct 2020
Group Equivariant Stand-Alone Self-Attention For VisionInternational Conference on Learning Representations (ICLR), 2020 David W. Romero Jean-Baptiste Cordonnier MDE 335 67 0 02 Oct 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 501 810 0 18 Jun 2020
End-to-End Object Detection with TransformersEuropean Conference on Computer Vision (ECCV), 2020 Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 2.3K 16,212 0 26 May 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 165 38 0 08 Apr 2020
Attentive Group Equivariant Convolutional NetworksInternational Conference on Machine Learning (ICML), 2020 David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 294 96 0 07 Feb 2020
General $E(2)$ -Equivariant Steerable CNNsNeural Information Processing Systems (NeurIPS), 2019 Maurice Weiler Gabriele Cesa 378 607 0 19 Nov 2019
Stand-Alone Self-Attention in Vision ModelsNeural Information Processing Systems (NeurIPS), 2019 Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 340 1,317 0 13 Jun 2019
Cormorant: Covariant Molecular Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 Brandon M. Anderson Truong-Son Hy Risi Kondor 393 465 0 06 Jun 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 136 24 0 31 Mar 2019
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric DataNeural Information Processing Systems (NeurIPS), 2018 Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 272 555 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 322 292 0 24 Jun 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 218 148 0 12 Apr 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 441 985 0 12 Mar 2018
Self-Attention with Relative Position Representations Peter Shaw Jakob Uszkoreit Ashish Vaswani 560 2,597 0 06 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 278 1,092 0 22 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 658 969 0 30 Jan 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 272 423 0 20 Nov 2017
Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017 Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 2.6K 23,821 0 30 Oct 2017
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017 Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 2.8K 159,241 0 12 Jun 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 654 1,309 0 10 Apr 2017
Rotation equivariant vector field networksIEEE International Conference on Computer Vision (ICCV), 2016 Diego Marcos Michele Volpi N. Komodakis D. Tuia 293 283 0 29 Dec 2016
Steerable CNNsInternational Conference on Learning Representations (ICLR), 2016 Taco S. Cohen Max Welling BDL 340 548 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 437 749 0 14 Dec 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston 252 612 0 15 Aug 2016
FusionNet: 3D Object Classification Using Multiple Data Representations Vishakh Hegde R. Zadeh 3DPC 223 215 0 19 Jul 2016
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks D. Laptev Nikolay Savinov J. M. Buhmann Marc Pollefeys OOD 250 263 0 21 Apr 2016
Orientation-boosted Voxel Nets for 3D Object Recognition Nima Sedaghat Mohammadreza Zolfaghari Ehsan Amiri Thomas Brox 3DPC 151 231 0 12 Apr 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 800 2,149 0 24 Feb 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 3.0K 88,445 0 18 May 2015
Neural Machine Translation by Jointly Learning to Align and TranslateInternational Conference on Learning Representations (ICLR), 2014 Dzmitry Bahdanau Dong Wang Yoshua Bengio AIMat 1.5K 28,576 0 01 Sep 2014
Learning Invariant Representations with Local TransformationsInternational Conference on Machine Learning (ICML), 2012 Kihyuk Sohn Honglak Lee OOD 171 193 0 27 Jun 2012