HexaConv

6 March 2018

Papers citing "HexaConv"

31 / 31 papers shown

Title
Rotation Equivariant Arbitrary-scale Image Super-ResolutionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Qi Xie J. Fu Zongben Xu Deyu Meng SupR 81 0 0 07 Aug 2025
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI ReconstructionIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2025 Yuliang Zhu Jing Cheng Qi Xie Zhuo-Xu Cui Qingyong Zhu Yuanyuan Liu Xin Liu Jianfeng Ren Chengbo Wang Dong Liang 205 0 0 12 Jun 2025
Deep Neural Networks with Efficient Guaranteed InvariancesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 M. Rath Alexandru Paul Condurache 119 5 0 02 Mar 2023
Continual Learning for Instruction Following from Realtime FeedbackNeural Information Processing Systems (NeurIPS), 2022 Alane Suhr Yoav Artzi 152 20 0 19 Dec 2022
Energy Reconstruction in Analysis of Cherenkov Telescopes Images in TAIGA Experiment Using Deep Learning Methods E. Gres A. P. Kryukov 69 4 0 16 Nov 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal MomentsIEEE International Joint Conference on Neural Network (IJCNN), 2022 Jaspreet Singh Chandan Singh 100 5 0 22 Sep 2022
E2PN: Efficient SE(3)-Equivariant Point NetworkComputer Vision and Pattern Recognition (CVPR), 2022 Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 147 24 0 11 Jun 2022
The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks E. Gres A. Kryukov 56 3 0 19 Dec 2021
Domain-informed neural networks for interaction localization within astroparticle experiments Shixiao Liang A. Higuera C. Peters Venkat Roy W. Bajwa H. Shatkay C. Tunnell 127 7 0 15 Dec 2021
Resampling and super-resolution of hexagonally sampled images using deep learningOptical Engineering: The Journal of SPIE (Opt. Eng.), 2021 Dylan Flaute R. Hardie Hamed Elwarfalli SupR 117 1 0 03 Nov 2021
Continual Learning for Grounded Instruction Generation by Observing Human Following BehaviorTransactions of the Association for Computational Linguistics (TACL), 2021 Noriyuki Kojima Alane Suhr Yoav Artzi 147 26 0 10 Aug 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant ConvolutionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Qi Xie Qian Zhao Zongben Xu Deyu Meng 119 26 0 30 Jul 2021
Group Equivariant SubsamplingNeural Information Processing Systems (NeurIPS), 2021 Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 93 23 0 10 Jun 2021
Commutative Lie Group VAE for Disentanglement LearningInternational Conference on Machine Learning (ICML), 2021 Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 143 29 0 07 Jun 2021
Geometric Deep Learning and Equivariant Neural NetworksArtificial Intelligence Review (AIR), 2021 Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 190 82 0 28 May 2021
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space ReductionIEEE/ASME transactions on mechatronics (IEEE/ASME Trans. Mechatronics), 2021 Yuanyang Zhu Zhi Wang Chunlin Chen D. Dong 89 40 0 15 Apr 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zheng Zhang 90 54 0 27 Jan 2021
Learning Equivariant Representations Carlos Esteves BDL 102 0 0 04 Dec 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural ProcessesInternational Conference on Machine Learning (ICML), 2020 P. Holderrieth M. Hutchinson Yee Whye Teh BDL 170 30 0 25 Nov 2020
Inferring astrophysical X-ray polarization with deep learning N. Moriakov Ashwin Samudre M. Negro Fabian Gieseke Sydney Otten L. Hendriks 38 3 0 16 May 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 118 19 0 21 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology ImagesIEEE Transactions on Medical Imaging (TMI), 2020 S. Graham David B. A. Epstein Nasir M. Rajpoot 199 93 0 06 Apr 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphsInternational Conference on Learning Representations (ICLR), 2020 P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 293 133 0 11 Mar 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 198 80 0 20 Feb 2020
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning FrameworkInternational Conference on Machine Learning and Applications (ICMLA), 2019 Tobias Schlosser Michael Friedrich Danny Kowerko 282 15 0 25 Nov 2019
General $E(2)$ -Equivariant Steerable CNNsNeural Information Processing Systems (NeurIPS), 2019 Maurice Weiler Gabriele Cesa 271 569 0 19 Nov 2019
B-Spline CNNs on Lie GroupsInternational Conference on Learning Representations (ICLR), 2019 Erik J. Bekkers AI4CE 363 142 0 26 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 Xenju Xu Guanghui Wang Alan Sullivan Ziming Zhang 107 23 0 31 Aug 2019
Orientation-aware Semantic Segmentation on Icosahedron SpheresIEEE International Conference on Computer Vision (ICCV), 2019 Chao Zhang Stephan Liwicki William A. P. Smith R. Cipolla 140 85 0 30 Jul 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 369 333 0 05 Nov 2018
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 225 543 0 06 Jul 2018