Papers citing 'Structured Receptive Fields in CNNs'

Title
Modelling and analysis of the 8 filters from the "master key filters hypothesis" for depthwise-separable deep networks in relation to idealized receptive fields based on scale-space theory Tony Lindeberg Z. Babaiee Peyman M. Kiasari 32 0 0 16 Sep 2025
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives Zeynel A. Samak Philip Clatworthy Majid Mirmehdi 162 2 0 06 Dec 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 202 4 0 17 Sep 2024
Scaling Continuous Kernels with Sparse Fourier Domain Learning Clayton A. Harper Luke Wood Peter Gerstoft Eric C. Larson 104 0 0 15 Sep 2024
Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators Tony Lindeberg 177 4 0 08 May 2024
Covariant spatio-temporal receptive fields for spiking neural networks Jens Egholm Pedersen Jorg Conradt Tony Lindeberg 159 0 0 01 May 2024
PDE-CNNs: Axiomatic Derivations and Applications Gijs Bellaard Sei Sakata B. Smets R. Duits AI4CE 97 2 0 22 Mar 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 176 15 0 02 Feb 2024
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields Z. Babaiee Peyman M. Kiasari Daniela Rus Radu Grosu MDE 65 4 0 18 Jan 2024
Foveation in the Era of Deep Learning George Killick Paul Henderson Paul Siebert Gerardo Aragon Camarasa FedML 114 3 0 03 Dec 2023
Discrete approximations of Gaussian smoothing and Gaussian derivatives Tony Lindeberg 198 18 0 19 Nov 2023
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 82 4 0 01 Jun 2023
Riesz networks: scale invariant neural networks in a single forward pass Tin Barisin K. Schladitz C. Redenbach 105 13 0 08 May 2023
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields T. Lindeberg 187 15 0 17 Mar 2023
Moving Frame Net: SE(3)-Equivariant Network for Volumes Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 155 7 0 07 Nov 2022
Approximating Continuous Convolutions for Deep Network Compression Theo W. Costain V. Prisacariu 91 0 0 17 Oct 2022
Fully trainable Gaussian derivative convolutional layer Valentin Penaud-Polge Santiago Velasco-Forero Jesús Angulo 106 11 0 18 Jul 2022
Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs Jenny Schmalfuss Erik Scheurer Hengyuan Zhao Nikolaos Karantzas Andrés Bruhn D. Labate 51 4 0 13 May 2022
Symmetry Structured Convolutional Neural Networks K. D. G. Maduranga Vasily Zadorozhnyy Qiang Ye 143 5 0 03 Mar 2022
Dilated convolution with learnable spacings Ismail Khalfaoui-Hassani Thomas Pellegrini T. Masquelier 141 39 0 07 Dec 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 86 0 0 18 Nov 2021
$Frequency learning for structured CNN filters with Gaussian fractional derivatives$ Frequency learning for structured CNN filters with Gaussian fractional derivatives Nikhil Saldanha S. Pintea Jan van Gemert Nergis Tomen 93 10 0 12 Nov 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn Jan van Gemert 253 86 0 15 Oct 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 184 21 0 20 Jul 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 98 1 0 20 Jul 2021
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification Z. Babaiee Ramin Hasani Mathias Lechner Daniela Rus Radu Grosu VLM 100 20 0 13 Jun 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 194 39 0 07 Jun 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 90 21 0 22 Apr 2021
Spectral Leakage and Rethinking the Kernel Size in CNNsIEEE International Conference on Computer Vision (ICCV), 2023 Nergis Tomen Jan van Gemert AAML 123 23 0 25 Jan 2021
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support Isma Hadji Richard P. Wildes 57 2 0 30 Nov 2020
Tensor Reordering for CNN Compression Matej Ulicny V. Krylov Rozenn Dahyot 82 4 0 22 Oct 2020
Deep Hough-Transform Line Priors Yancong Lin S. Pintea Jan van Gemert 99 82 0 18 Jul 2020
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model Nikhil Parthasarathy Eero P. Simoncelli 106 7 0 30 Jun 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 416 245 0 16 Mar 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 89 41 0 18 Jan 2020
Translation Insensitive CNNs G. Sundaramoorthi Timothy E. Wang 97 8 0 25 Nov 2019
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation Yunlu Chen Thomas Mensink Masashi Sugiyama 3DPC MDE 90 27 0 03 Oct 2019
Associative Convolutional Layers H. Omidvar Vahideh Akhlaghi M. Franceschetti Rajesh K. Gupta 106 1 0 10 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 131 20 0 29 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 102 21 0 12 May 2019
Harmonic Networks with Limited Training Samples Matej Ulicny V. Krylov Rozenn Dahyot 130 18 0 30 Apr 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields Evan Shelhamer Dequan Wang Trevor Darrell 100 35 0 25 Apr 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks Domen Tabernik Matej Kristan A. Leonardis 129 22 0 20 Feb 2019
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 126 7 0 07 Dec 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Chen Ma Fuxin Li 3DPC 443 1,649 0 17 Nov 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 221 263 0 05 Jun 2018
What Do We Understand About Convolutional Networks? Isma Hadji Richard P. Wildes FAtt 86 99 0 23 Mar 2018
Spatially-Adaptive Filter Units for Deep Neural Networks Domen Tabernik Matej Kristan A. Leonardis 109 11 0 30 Nov 2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition Isma Hadji Richard P. Wildes 109 27 0 22 Aug 2017
Dynamic Steerable Blocks in Deep Residual Networks J. Jacobsen Bert de Brabandere A. Smeulders 147 28 0 02 Jun 2017