Towards Efficient Graph Convolutional Networks for Point Cloud Handling

Towards Efficient Graph Convolutional Networks for Point Cloud Handling

12 April 2021

Zhaopeng Cui

Radu Timofte

Marc Pollefeys

Gregory S. Chirikjian

Luc Van Gool

Papers citing "Towards Efficient Graph Convolutional Networks for Point Cloud Handling"

8 / 8 papers shown

Title
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 21 9 0 31 Aug 2023
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection Linfeng Zhang Runpei Dong Hung-Shuo Tai Kaisheng Ma 3DPC 72 46 0 23 May 2022
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 30 7 0 10 Oct 2021
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 123 189 0 19 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 226 971 0 10 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 150 737 0 02 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
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 14,099 0 02 Dec 2016