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2301.10540
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Modelling Long Range Dependencies in
N
N
N
D: From Task-Specific to a General Purpose CNN
25 January 2023
David M. Knigge
David W. Romero
Albert Gu
E. Gavves
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
J. Sonke
3DV
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Papers citing
"Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN"
9 / 9 papers shown
Title
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
Mahdi Karami
Ali Ghodsi
VLM
36
6
0
28 Feb 2024
Explainable Global Wildfire Prediction Models using Graph Neural Networks
Dayou Chen
Sibo Cheng
Jinwei Hu
M. Kasoar
Rossella Arcucci
31
4
0
11 Feb 2024
Deep Continuous Networks
Nergis Tomen
S. Pintea
J. C. V. Gemert
88
14
0
02 Feb 2024
Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas
William Arnold
Lucas Spangher
Christina Rea
MU
13
2
0
03 Dec 2023
Learned Gridification for Efficient Point Cloud Processing
P. A. V. D. Linden
David W. Romero
Erik J. Bekkers
3DPC
18
2
0
22 Jul 2023
Implicit Convolutional Kernels for Steerable CNNs
Maksim Zhdanov
Nico Hoffmann
Gabriele Cesa
19
5
0
12 Dec 2022
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
J. C. V. Gemert
74
81
0
15 Oct 2021
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
766
0
30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,047
0
02 Dec 2016
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