Modelling Long Range Dependencies in $N$ D: From Task-Specific to a General Purpose CNN

25 January 2023

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 219 14,047 0 02 Dec 2016