Deep Parametric Continuous Convolutional Neural Networks

Deep Parametric Continuous Convolutional Neural Networks

17 January 2021

Shenlong Wang

Papers citing "Deep Parametric Continuous Convolutional Neural Networks"

12 / 112 papers shown

Title
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation Gregory P. Meyer Jake Charland Darshan Hegde A. Laddha Carlos Vallespi-Gonzalez 3DPC 28 129 0 25 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas J. Guibas 3DPC 54 2,502 0 18 Apr 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Chris Choy JunYoung Gwak Silvio Savarese 3DPC 57 1,751 0 18 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 25 239 0 04 Apr 2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning Loic Landrieu Mohamed Boussaha 3DPC 25 150 0 03 Apr 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 987 0 21 Feb 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving Yan Wang Wei-Lun Chao Divyansh Garg Bharath Hariharan M. Campbell Kilian Q. Weinberger 3DPC 81 989 0 18 Dec 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 14 1,544 0 17 Nov 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 134 2,420 0 23 Jan 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016