Erik J. Bekkers

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 62

Top Topics

Convolutional Network

Top Venues

J. Math. Imaging Vis.

Publications

David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR (2024)
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series. Trans. Mach. Learn. Res. 2024 (2024)
Erik J. Bekkers, Sharvaree P. Vadgama, Rob Hesselink, Putri A. van der Linden, David W. Romero
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. ICLR (2024)
Veljko Kovac, Erik J. Bekkers, Pietro Liò, Floor Eijkelboom
E(n) Equivariant Message Passing Cellular Networks. CoRR (2024)
Andrew Draganov, Sharvaree P. Vadgama, Erik J. Bekkers
The Hidden Pitfalls of the Cosine Similarity Loss. CoRR (2024)
David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR (2024)
Floor Eijkelboom, Erik J. Bekkers, Michael M. Bronstein, Francesco Di Giovanni
Can strong structural encoding reduce the importance of Message Passing? TAG-ML (2023)
Yeskendir Koishekenov, Sharvaree P. Vadgama, Riccardo Valperga, Erik J. Bekkers
Geometric Contrastive Learning. ICCV (Workshops) (2023)
Artem Moskalev, Anna Sepliarskaia, Erik J. Bekkers, Arnold W. M. Smeulders
On genuine invariance learning without weight-tying. CoRR (2023)
Floor Eijkelboom, Rob Hesselink, Erik J. Bekkers
E(n) Equivariant Message Passing Simplicial Networks. ICML (2023)
Floor Eijkelboom, Erik J. Bekkers, Michael M. Bronstein, Francesco Di Giovanni
Can strong structural encoding reduce the importance of Message Passing? CoRR (2023)
Radu A. Cosma, Lukas Knobel, Putri A. van der Linden, David M. Knigge, Erik J. Bekkers
Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks. ICCV (Workshops) (2023)
Vivien van Veldhuizen, Sharvaree P. Vadgama, Onno J. de Boer, Sybren L. Meijer, Erik J. Bekkers
Modeling Barrett's Esophagus Progression Using Geometric Variational Autoencoders. CaPTion@MICCAI (2023)
Erik J. Bekkers, Sharvaree P. Vadgama, Rob D. Hesselink, Putri A. van der Linden, David W. Romero
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. CoRR (2023)
Yeskendir Koishekenov, Erik J. Bekkers
An Exploration of Conditioning Methods in Graph Neural Networks. CoRR (2023)
Putri A. van der Linden, David W. Romero, Erik J. Bekkers
Learned Gridification for Efficient Point Cloud Processing. TAG-ML (2023)
Artem Moskalev, Anna Sepliarskaia, Erik J. Bekkers, Arnold W. M. Smeulders
On genuine invariance learning without weight-tying. TAG-ML (2023)
Sharvaree P. Vadgama, Jakub M. Tomczak, Erik J. Bekkers
Continuous Kendall Shape Variational Autoencoders. GSI (1) (2023)
Bart M. N. Smets, Jim Portegies, Erik J. Bekkers, Remco Duits
PDE-Based Group Equivariant Convolutional Neural Networks. J. Math. Imaging Vis. 65 (1) (2023)
Thijs P. Kuipers, Erik J. Bekkers
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis. CoRR (2023)
Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. NeurIPS (2023)
David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR (2023)
Putri A. van der Linden, David W. Romero, Erik J. Bekkers
Learned Gridification for Efficient Point Cloud Processing. CoRR (2023)
David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR (2023)
Thijs P. Kuipers, Erik J. Bekkers
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis. MICCAI (3) (2023)
Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. CoRR (2023)
Floor Eijkelboom, Rob Hesselink, Erik J. Bekkers
E(n) Equivariant Message Passing Simplicial Networks. CoRR (2023)
Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J. Bekkers, Max Welling
Geometric and Physical Quantities improve E(3) Equivariant Message Passing. ICLR (2022)
David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn
CKConv: Continuous Kernel Convolution For Sequential Data. ICLR (2022)
David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. ICLR (2022)
David W. Romero, David M. Knigge, Albert Gu, Erik J. Bekkers, Efstratios Gavves, Jakub M. Tomczak, Mark Hoogendoorn
Towards a General Purpose CNN for Long Range Dependencies in ND. CoRR (2022)
David M. Knigge, David W. Romero, Erik J. Bekkers
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups. ICML (2022)
Remco Duits, Bart M. N. Smets, Erik J. Bekkers, Jim Portegies
Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations. SSVM (2021)
David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
CKConv: Continuous Kernel Convolution For Sequential Data. CoRR (2021)
David W. Romero, Robert-Jan Bruintjes, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes. CoRR (2021)
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
Roto-translation equivariant convolutional networks: Application to histopathology image analysis. Medical Image Anal. 68 (2021)
Jan Zuiderveld, Marco Federici, Erik J. Bekkers
Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations. CoRR (2021)
David M. Knigge, David W. Romero, Erik J. Bekkers
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups. CoRR (2021)
Hugo Aguettaz, Erik J. Bekkers, Michaël Defferrard
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups. CoRR (2021)
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
Attentive Group Equivariant Convolutional Networks. ICML (2020)
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
Wavelet Networks: Scale Equivariant Learning From Raw Waveforms. CoRR (2020)
Erik J. Bekkers
B-Spline CNNs on Lie groups. ICLR (2020)
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. CoRR (2020)
Bart M. N. Smets, Jim Portegies, Erik J. Bekkers, Remco Duits
PDE-based Group Equivariant Convolutional Neural Networks. CoRR (2020)
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
Attentive Group Equivariant Convolutional Networks. CoRR (2020)
Remco Duits, Erik J. Bekkers, Alexey Mashtakov
Fourier Transform on the Homogeneous Space of 3D Positions and Orientations for Exact Solutions to Linear PDEs. Entropy 21 (1) (2019)
Erik J. Bekkers
B-Spline CNNs on Lie Groups. CoRR (2019)
Erik J. Bekkers, Marco Loog, Bart M. ter Haar Romeny, Remco Duits
Template Matching via Densities on the Roto-Translation Group. IEEE Trans. Pattern Anal. Mach. Intell. 40 (2) (2018)
Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) (2018)
Jiong Zhang, Erik J. Bekkers, Da Chen, Tos T. J. M. Berendschot, Jan Schouten, Josien P. W. Pluim, Yonggang Shi, Behdad Dashtbozorg, Bart M. ter Haar Romeny
Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images. IEEE Trans. Biomed. Eng. 65 (5) (2018)
Erik J. Bekkers, Da Chen, Jorg M. Portegies
Nilpotent Approximations of Sub-Riemannian Distances for Fast Perceptual Grouping of Blood Vessels in 2D and 3D. J. Math. Imaging Vis. 60 (6) (2018)
Michiel Janssen, A. J. E. M. Janssen, Erik J. Bekkers, J. Olivan Bescos, Remco Duits
Design and Processing of Invertible Orientation Scores of 3D Images. J. Math. Imaging Vis. 60 (9) (2018)
Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR (2018)
Michiel H. J. Janssen, Tom C. J. Dela Haije, Frank C. Martin, Erik J. Bekkers, Remco Duits
The Hessian of Axially Symmetric Functions on SE(3) and Application in 3D Image Analysis. SSVM (2017)
Michiel H. J. Janssen, A. J. E. M. Janssen, Erik J. Bekkers, J. Olivan Bescos, Remco Duits
Design and Processing of Invertible Orientation Scores of 3D Images for Enhancement of Complex Vasculature. CoRR (2017)
Jiong Zhang, Yuan Chen, Erik J. Bekkers, Meili Wang, Behdad Dashtbozorg, Bart M. ter Haar Romeny
Retinal vessel delineation using a brain-inspired wavelet transform and random forest. Pattern Recognit. 69 (2017)
Alexey Mashtakov, Remco Duits, Yuri Sachkov, Erik J. Bekkers, Ivan Beschastnyi
Tracking of Lines in Spherical Images via Sub-Riemannian Geodesics in SO(3). J. Math. Imaging Vis. 58 (2) (2017)
Erik J. Bekkers, Remco Duits, Alexey Mashtakov, Yuri Sachkov
Vessel Tracking via Sub-Riemannian Geodesics on the Projective Line Bundle. GSI (2017)
Samaneh Abbasi-Sureshjani, Iris Smit-Ockeloen, Erik J. Bekkers, Behdad Dashtbozorg, Bart M. ter Haar Romeny
Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores. ISBI (2016)
Bart M. ter Haar Romeny, Erik J. Bekkers, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Remco Duits, Behdad Dashtbozorg, Tos Berendschot, Iris Smit-Ockeloen, Koen A. J. Eppenhof, Jinghan Feng, Julius Hannink, Jan Schouten, Mengmeng Tong, Hanhui Wu, Han J. W. van Triest, Shanshan Zhu, Dali Chen, Wei He, Ling Xu, Ping Han, Yan Kang
Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 27 (8) (2016)
Jiong Zhang, Behdad Dashtbozorg, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Bart M. ter Haar Romeny
Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores. IEEE Trans. Medical Imaging 35 (12) (2016)
Erik J. Bekkers, Marco Loog, Bart M. ter Haar Romeny, Remco Duits
Template Matching on the Roto-Translation Group. CoRR (2016)
Jiong Zhang, Erik J. Bekkers, Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny
Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores. ICIAP (1) (2015)
Erik J. Bekkers, Remco Duits, Alexey Mashtakov, Gonzalo R. Sanguinetti
Data-Driven Sub-Riemannian Geodesics in SE(2). SSVM (2015)
Erik J. Bekkers, Remco Duits, Alexey Mashtakov, Gonzalo R. Sanguinetti
A PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2). SIAM J. Imaging Sci. 8 (4) (2015)
Gonzalo Sanguinetti, Erik J. Bekkers, Remco Duits, Michiel H. J. Janssen, Alexey Mashtakov, Jean-Marie Mirebeau
Sub-Riemannian Fast Marching in SE(2). CIARP (2015)
Julius Hannink, Remco Duits, Erik J. Bekkers
Vesselness via Multiple Scale Orientation Scores. CoRR (2014)
Erik J. Bekkers, Remco Duits, Bart M. ter Haar Romeny
Optic Nerve Head Detection via Group Correlations in Multi-orientation Transforms. ICIAR (2) (2014)
Julius Hannink, Remco Duits, Erik J. Bekkers
Crossing-Preserving Multi-scale Vesselness. MICCAI (2) (2014)
Erik J. Bekkers, Remco Duits, Tos Berendschot, Bart M. ter Haar Romeny
A Multi-Orientation Analysis Approach to Retinal Vessel Tracking. J. Math. Imaging Vis. 49 (3) (2014)
Erik J. Bekkers, Remco Duits, Marco Loog
Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images. EMMCVPR (2014)
Erik J. Bekkers, Remco Duits, Bart M. ter Haar Romeny, Tos Berendschot
A New Retinal Vessel Tracking Method Based on Orientation Scores CoRR (2012)
Erik J. Bekkers, Charles A. Taylor
Multiscale Vascular Surface Model Generation From Medical Imaging Data Using Hierarchical Features. IEEE Trans. Medical Imaging 27 (3) (2008)