PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding

22 November 2022

Papers citing "PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding"

9 / 9 papers shown

Title
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding Jiachen Kang W. Jia Xiangjian He Kin-Man Lam 3DPC 27 2 0 28 Jul 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey Ben Fei Weidong Yang Liwen Liu Tian-jian Luo Rui Zhang Yixuan Li Ying He 3DPC 23 17 0 08 May 2023
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 325 2,263 0 02 Sep 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 122 268 0 07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 111 193 0 18 Oct 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 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 14,099 0 02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 168 1,940 0 24 Oct 2016