APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient
Point Cloud Classification

APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification

2 May 2022

Gangshan Wu

Papers citing "APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification"

8 / 8 papers shown

Title
Spiking PointNet: Spiking Neural Networks for Point Clouds Dayong Ren Zhe Ma Y. Chen Weihang Peng Xiaode Liu Yuhan Zhang Yu-Zhu Guo 3DH 3DPC 17 9 0 10 Oct 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 19 9 0 31 Aug 2023
LinK: Linear Kernel for LiDAR-based 3D Perception Tao Lu Xiang Ding Haisong Liu Gangshan Wu Liming Wang 20 34 0 28 Mar 2023
Image as Set of Points Xu Ma Yuqian Zhou Huan Wang Can Qin Bin Sun Chang Liu Yun Fu VLM 35 48 0 02 Mar 2023
Point Cloud Learning with Transformer Xian-Feng Han Yuming Kuang ViT 29 32 0 28 Apr 2021
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 115 269 0 09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 147 760 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 13,886 0 02 Dec 2016