Learning general and distinctive 3D local deep descriptors for point cloud registration

21 May 2021

Papers citing "Learning general and distinctive 3D local deep descriptors for point cloud registration"

8 / 8 papers shown

Title
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving Jules Sanchez Jean-Emmanuel Deschaud Franccois Goulette 46 1 0 28 Jan 2025
UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image Xingyu Liu Gu Wang Ruida Zhang Chenyangguang Zhang F. Tombari Xiangyang Ji 97 2 0 25 Nov 2024
ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency Shaocheng Yan Pengcheng Shi Jiayuan Li 3DPC 33 1 0 13 Jul 2024
Open-vocabulary object 6D pose estimation Jaime Corsetti Davide Boscaini Changjae Oh Andrea Cavallaro Fabio Poiesi 17 10 0 01 Dec 2023
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation Jaime Corsetti Davide Boscaini Fabio Poiesi 3DPC 19 5 0 28 Jul 2023
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding Guofeng Mei Cristiano Saltori Fabio Poiesi Jian Andrew Zhang Elisa Ricci N. Sebe Qiang Wu 3DPC 39 5 0 06 Oct 2022
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features Xuyang Bai Zixin Luo Lei Zhou Hongbo Fu Long Quan Chiew-Lan Tai 3DPC 31 375 0 06 Mar 2020
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