Point Cloud Learning with Transformer

28 April 2021

Papers citing "Point Cloud Learning with Transformer"

12 / 12 papers shown

Title
Rethinking Attention Module Design for Point Cloud Analysis Chengzhi Wu Kaige Wang Zeyun Zhong Hao Fu Junwei Zheng Jiaming Zhang Julius Pfrommer Jürgen Beyerer 3DPC 51 1 0 27 Jul 2024
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation A. Kuriyal Vaibhav Kumar B. Lohani 3DPC 21 1 0 27 Jul 2023
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation Dening Lu K. Gao Qian Xie Linlin Xu Jonathan Li 3DPC ViT 35 4 0 21 Sep 2022
3D Vision with Transformers: A Survey Jean Lahoud Jiale Cao F. Khan Hisham Cholakkal Rao Muhammad Anwer Salman Khan Ming Yang ViT MedIm 29 32 0 08 Aug 2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification Tao Lu Chunxu Liu You-ren Chen Gangshan Wu Limin Wang 3DPC 36 6 0 02 May 2022
Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work Khawar Islam ViT 28 45 0 03 Mar 2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification Dening Lu Qian Xie Linlin Xu Jonathan Li 3DV 19 68 0 02 Mar 2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma Can Qin Haoxuan You Haoxi Ran Y. Fu 3DPC 19 583 0 15 Feb 2022
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection Zhe Liu Tengteng Huang Binglin Li Xiwu Chen Xi Wang Xiang Bai 3DPC 18 100 0 21 Dec 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,430 0 04 Jan 2021
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 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 14,103 0 02 Dec 2016