Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline

9 June 2021

Papers citing "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

36 / 36 papers shown

Title
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction Hossein Resani B. Nasihatkon 3DV 104 0 0 08 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining Yunze Liu Li Yi Mamba 45 2 0 01 Oct 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection Hossein Resani B. Nasihatkon Mohammadreza Alimoradi Jazi 3DPC 36 2 0 12 Sep 2024
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 46 1 0 27 Jul 2024
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module Dingxin Zhang Jianhui Yu Tengfei Xue Chaoyi Zhang Dongnan Liu Weidong Cai 3DPC 40 0 0 15 Jul 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning Bin Ren Guofeng Mei D. Paudel Weijie Wang Yawei Li Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 3DPC 43 7 0 08 Jul 2024
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding Hongyu Sun Yongcai Wang Wang Chen Haoran Deng Deying Li VPVLM 44 5 0 24 Feb 2024
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions Jie Wang Lihe Ding Tingfa Xu Shaocong Dong Xinli Xu Long Bai Jianan Li 3DPC 26 5 0 19 Sep 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
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Yaohua Zha Jinpeng Wang Tao Dai Bin Chen Zhi Wang Shutao Xia VLM 40 45 0 14 Apr 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis Cheng Wen Jia-Li Long B. Yu Dacheng Tao 3DPC 35 7 0 10 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Zekun Qi Runpei Dong Guo Fan Zheng Ge Xiangyu Zhang Kaisheng Ma Li Yi 32 117 0 05 Feb 2023
MVTN: Learning Multi-View Transformations for 3D Understanding Abdullah Hamdi Faisal AlZahrani Silvio Giancola Bernard Ghanem 3DPC 3DV 26 6 0 27 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders Renrui Zhang Liuhui Wang Yu Qiao Peng Gao Hongsheng Li 3DPC 33 124 0 13 Dec 2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training Tianyu Huang Bowen Dong Yunhan Yang Xiaoshui Huang Rynson W. H. Lau Wanli Ouyang W. Zuo VLM 3DPC CLIP 36 144 0 03 Oct 2022
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 27 4 0 21 Sep 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 33 31 0 21 Sep 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation Gopal Sharma K. Yin Subhransu Maji E. Kalogerakis Litany Sanja Fidler 3DV 3DPC 19 12 0 18 Aug 2022
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka 3DPC 22 0 0 04 Jul 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds Mingqiang Wei Zeyong Wei Hao Zhou Fei-Jiang Hu Huajian Si ... Jingbo Qiu Xu Yan Yan Guo Jun Wang J. Qin 3DPC 21 38 0 09 Jun 2022
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling Kevin Tirta Wijaya Dong-Hee Paek Seung-Hyun Kong 3DPC 19 21 0 20 May 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 33 6 0 02 May 2022
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition Axel Berg Magnus Oskarsson Mark O'Connor 3DPC ViT 19 26 0 08 Apr 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training Kexue Fu Peng Gao Shaolei Liu Renrui Zhang Yu Qiao Manning Wang 3DPC 22 18 0 03 Apr 2022
Shape-invariant 3D Adversarial Point Clouds Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Nenghai Yu 3DPC 11 67 0 08 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 19 582 0 15 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions Jiawei Ren Liang Pan Ziwei Liu 3DPC 8 80 0 07 Feb 2022
3D Face Morphing Attacks: Generation, Vulnerability and Detection Jag Mohan Singh Raghavendra Ramachandra CVBM 27 9 0 10 Jan 2022
Neural Point Light Fields Julian Ost I. Laradji Alejandro Newell Yuval Bahat Felix Heide 16 55 0 02 Dec 2021
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding Abdullah Hamdi Silvio Giancola Bernard Ghanem 3DPC 25 23 0 30 Nov 2021
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion Renrui Zhang Ziyao Zeng Ziyu Guo Xing Gao Kexue Fu Jianbo Shi 3DPC 22 26 0 19 Nov 2021
On Learning the Right Attention Point for Feature Enhancement Liqiang Lin Pengdi Huang FU Chi-Wing XU Kai Hao Zhang Hui Huang 3DPC 20 7 0 11 Dec 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition Abdullah Hamdi Silvio Giancola Bernard Ghanem 3DV 3DPC 34 197 0 26 Nov 2020
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 115 270 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 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