Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

28 February 2022

Papers citing "Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey"

45 / 45 papers shown

Title
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 52 0 0 02 May 2025
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives Yuan Gao Shaobo Xia P. Wang Xiaohuan Xi Sheng Nie Cheng-Xiang Wang 47 1 0 24 Mar 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning Xu Han Yuan Tang Jinfeng Xu Xianzhi Li 51 0 0 24 Mar 2025
Geometry Distributions Biao Zhang Jing Ren Peter Wonka 3DH AI4CE 87 0 0 25 Nov 2024
Deep Learning on 3D Semantic Segmentation: A Detailed Review Thodoris Betsas Andreas Georgopoulos Anastasios Doulamis Pierre Grussenmeyer 3DV 3DPC 33 1 0 04 Nov 2024
Unsupervised semantic segmentation of urban high-density multispectral point clouds Oona Oinonen Lassi Ruoppa Josef Taher Matti Lehtomäki Leena Matikainen Kirsi Karila Teemu Hakala A. Kukko Harri Kaartinen Juha Hyyppa 34 1 0 24 Oct 2024
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations Seyed Mohammad Ahmadi Koorosh Aslansefat Ruben Valcarce-Dineiro Joshua Barnfather 34 1 0 20 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning Dingkang Liang Tianrui Feng Xin Zhou Yumeng Zhang Zhikang Zou Xiang Bai 31 5 0 10 Oct 2024
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion Yan Chen Di Huang Zhichao Liao Xi Cheng Xinghui Li Lone Zeng 3DPC 53 1 0 07 Sep 2024
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment Liyao Tang Zhe Chen Shanshan Zhao Chaoyue Wang Dacheng Tao 32 0 0 29 Aug 2024
4D Contrastive Superflows are Dense 3D Representation Learners Xiang Xu Lingdong Kong Hui Shuai Wenwei Zhang Liang Pan Kai Chen Ziwei Liu Qingshan Liu 3DPC 47 7 0 08 Jul 2024
FAPNet: An Effective Frequency Adaptive Point-based Eye Tracker Xiaopeng Lin Hongwei Ren Bojun Cheng 44 8 0 05 Jun 2024
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models Jiahao Sun Chunmei Qing Xiang Xu Lingdong Kong You-Chen Liu ... Zeqi Xiao Runnan Chen Tai Wang Wenwei Zhang Kai-xiang Chen 3DV 47 6 0 23 May 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D Ali Bahri Moslem Yazdanpanah Mehrdad Noori Milad Cheraghalikhani G. A. V. Hakim David Osowiechi Farzad Beizaee Ismail Ben Ayed Christian Desrosiers 3DPC 78 1 0 20 May 2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning Souhail Hadgi Lei Li M. Ovsjanikov 30 0 0 26 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 53 5 0 25 Mar 2024
Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation Dipesh Gyawali Jian Zhang B. Karki ViT 3DPC 27 0 0 03 Mar 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis Takahiko Furuya 3DPC 43 2 0 01 Mar 2024
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning Weijie Wei F. Karimi Nejadasl Theo Gevers Martin R. Oswald 3DPC 28 3 0 15 Dec 2023
Novel class discovery meets foundation models for 3D semantic segmentation Luigi Riz Cristiano Saltori Yiming Wang Elisa Ricci Fabio Poiesi 3DPC 39 0 0 06 Dec 2023
PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization Xin Cao Huan Xia Xinxin Han Yifan Wang Kang Li Linzhi Su 3DPC 20 1 0 06 Dec 2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning Sijin Chen Hongyuan Zhu Mingsheng Li Xin Chen Peng Guo Yinjie Lei Gang Yu Taihao Li Tao Chen 19 18 0 06 Sep 2023
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning A. Hatem Yiming Qian Yang Wang 3DPC TTA 32 18 0 31 Aug 2023
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation T. Furuya Zhoujie Chen Ryutarou Ohbuchi Zhenzhong Kuang 3DPC 26 2 0 09 Aug 2023
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation Haowei Wang Jiji Tang Jiayi Ji Xiaoshuai Sun Rongsheng Zhang ... Minda Zhao Lincheng Li zeng zhao Tangjie Lv Rongrong Ji 3DV 23 13 0 06 Aug 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 0 01 Jul 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models You-Chen Liu Lingdong Kong Jun Cen Runnan Chen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 32 83 0 15 Jun 2023
Multi-View Representation is What You Need for Point-Cloud Pre-Training Siming Yan Chen Song Youkang Kong Qi-Xing Huang 3DPC 31 2 0 05 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 38 18 0 31 May 2023
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud Jadie Adams Shireen Elhabian 3DPC 23 10 0 23 May 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 178 244 0 28 May 2022
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Yujin Chen Matthias Nießner Angela Dai 3DPC 105 58 0 06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 39 32 0 16 Oct 2021
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration Haobo Jiang Yaqi Shen Jin Xie Jun Li J. Qian Jian Yang 3DPC 51 39 0 14 Sep 2021
Pri3D: Can 3D Priors Help 2D Representation Learning? Ji Hou Saining Xie Benjamin Graham Angela Dai Matthias Nießner SSL 3DPC MDE 85 79 0 22 Apr 2021
Deep Learning Based 3D Segmentation: A Survey Yong-xing He Hongshan Yu Xiao-Yang Liu Zhengeng Yang Wei Sun Ajmal Saeed Mian 3DPC 38 70 0 09 Mar 2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation Aoran Xiao Xiaofei Yang Shijian Lu Dayan Guan Jiaxing Huang 3DPC 29 48 0 01 Mar 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 0 07 Jan 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 112 66 0 31 Dec 2020
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
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 117 193 0 18 Oct 2019
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
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 177 1,940 0 24 Oct 2016