Attentive Group Equivariant Convolutional Networks

7 February 2020

Papers citing "Attentive Group Equivariant Convolutional Networks"

50 / 61 papers shown

Title
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 81 0 0 04 Feb 2025
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu Dian Chen Katherine Liu Sergey Zakharov Rares Ambrus Kostas Daniilidis Vitor Campagnolo Guizilini MDE 33 0 0 11 Nov 2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong W. Yu Tao Zhang 57 0 0 03 Nov 2024
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks Ashwin Samudre Mircea Petrache Brian D. Nord Shubhendu Trivedi 44 2 0 18 Sep 2024
Building Hybrid B-Spline And Neural Network Operators Raffaele Romagnoli Jasmine Ratchford Mark H. Klein AI4CE 29 1 0 06 Jun 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 30 1 0 24 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network Dmitrii Zhemchuzhnikov Sergei Grudinin 30 0 0 24 Apr 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D Dmitrii Zhemchuzhnikov Sergei Grudinin 27 1 0 28 Mar 2024
Geometric Generative Models based on Morphological Equivariant PDEs and GANs El Hadji S. Diop Thierno Fall Alioune Mbengue Mohamed Daoudi GAN 33 1 0 22 Mar 2024
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection Chanho Lee Jinsu Son Hyounguk Shon Yunho Jeon Junmo Kim ObjD 20 8 0 22 Dec 2023
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 24 1 0 19 Dec 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 47 8 0 06 Nov 2023
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 34 14 0 16 Oct 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 26 2 0 28 Sep 2023
Using and Abusing Equivariance Tom Edixhoven A. Lengyel J. C. V. Gemert 34 3 0 22 Aug 2023
Semantic Equivariant Mixup Zongbo Han Tianchi Xie Bing Wu Qinghua Hu Changqing Zhang AAML 56 0 0 12 Aug 2023
$E(2)$ -Equivariant Vision Transformer Renjun Xu Kaifan Yang Ke Liu Fengxiang He ViT MDE 19 9 0 11 Jun 2023
Geometric Algebra Transformer Johann Brehmer P. D. Haan S. Behrends Taco S. Cohen 36 26 0 28 May 2023
Investigating how ReLU-networks encode symmetries Georg Bökman Fredrik Kahl 24 6 0 26 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 19 7 0 25 May 2023
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network Wenzhao Zhao Barbara D. Wichtmann Steffen Albert Angelika Maurer F. G. Zollner Ulrike Attenberger Jurgen Hesser 22 1 0 17 May 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 20 11 0 03 Apr 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations H. Michaeli T. Michaeli Daniel Soudry 21 14 0 14 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution Zikai Sun T. Blu 16 6 0 01 Mar 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 26 5 0 22 Feb 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 19 0 0 30 Dec 2022
Robustcaps: a transformation-robust capsule network for image classification Saindhavi Venkataraman S. Balasubramanian R. R. Sarma 13 2 0 20 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim A. Schwing Minh Do Raymond A. Yeh 31 9 0 14 Oct 2022
Towards the Human Global Context: Does the Vision-Language Model Really Judge Like a Human Being? Sangmyeong Woh Jaemin Lee Hoki Kim Jinsuk Lee 18 0 0 18 Jul 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 18 19 0 06 Jun 2022
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction Jianzhong Qi Zhuowei Zhao E. Tanin Tingru Cui Neema Nassir Majid Sarvi GNN 20 24 0 30 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes Derya Soydaner 3DV 36 149 0 27 Apr 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 25 40 0 15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 19 25 0 16 Nov 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei-Neng Chen Bin Shao Tie-Yan Liu 48 79 0 26 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 19 26 0 19 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 17 229 0 06 Oct 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 54 137 0 09 Sep 2021
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl Nicola Pezzotti 19 1 0 21 Aug 2021
6DCNN with roto-translational convolution filters for volumetric data processing Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 22 2 0 26 Jul 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 23 21 0 10 Jun 2021
Salient Positions based Attention Network for Image Classification Sheng Fang Kaiyu Li Zhe Li 27 3 0 09 Jun 2021
Exploiting Learned Symmetries in Group Equivariant Convolutions A. Lengyel J. C. V. Gemert 24 5 0 09 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson H. Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 13 66 0 28 May 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 27 20 0 22 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 24 6 0 10 Apr 2021
Ice Core Science Meets Computer Vision: Challenges and Perspectives P. Bohleber M. Roman C. Barbante Sebastiano Vascon K. Siddiqi Marcello Pelillo 14 5 0 09 Apr 2021