A Rotation-Invariant Framework for Deep Point Cloud Analysis

16 March 2020

Daniel Cohen-Or

Pheng-Ann Heng

3DPC

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Papers citing "A Rotation-Invariant Framework for Deep Point Cloud Analysis"

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Title
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis Xuanhua Yin Dingxin Zhang Jianhui Yu Weidong Cai 25 0 0 19 Apr 2025
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Bangzhen Liu Chenxi Zheng Xuemiao Xu Cheng Xu Huaidong Zhang Shengfeng He 3DPC 42 1 0 04 Feb 2025
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification Tian Guo Chen Chen Hui Yuan Xiaolong Mao R. Hamzaoui Junhui Hou 3DPC 33 0 0 18 Jan 2025
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando S. Sridharan Clinton Fookes Peyman Moghadam 3DPC 31 0 0 24 Sep 2024
VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D Shape Understanding Hongyu Sun Yongcai Wang Peng Wang Haoran Deng Xudong Cai Deying Li 21 0 0 14 Sep 2024
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training Li Li Tanqiu Qiao Hubert P. H. Shum T. Breckon 3DPC 47 2 0 25 Aug 2024
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation Zhiyuan Zhang Licheng Yang Zhiyu Xiang 3DPC 3DH 29 1 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 44 0 0 11 Aug 2024
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation Li Li Hubert P. H. Shum T. Breckon 3DPC 38 7 0 14 Jul 2024
E $^3$ -Net: Efficient E(3)-Equivariant Normal Estimation Network Hanxiao Wang Mingyang Zhao Weize Quan Zhen Chen Dong-ming Yan Peter Wonka 3DPC 31 0 0 01 Jun 2024
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform Chunghyun Park Seungwook Kim Jaesik Park Minsu Cho 3DPC 30 1 0 17 Apr 2024
Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression Kang-Soo You Pan Gao Zhan Ma 3DPC 19 2 0 10 Apr 2024
LGSDF: Continual Global Learning of Signed Distance Fields Aided by Local Updating Yufeng Yue Yinan Deng Jiahui Wang Yi Yang 3DV 35 2 0 08 Apr 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 36 1 0 15 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
A general framework for rotation invariant point cloud analysis Shuqing Luo Wei-Nan Gao 25 0 0 02 Feb 2024
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 40 1 0 06 Oct 2023
Rotation-Invariant Completion Network Yu Chen Pengcheng Shi 3DPC 24 3 0 23 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
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning Seungwook Kim Chunghyun Park Yoonwoo Jeong Jaesik Park Minsu Cho 3DPC 18 3 0 20 Jun 2023
Evaluating 3D Shape Analysis Methods for Robustness to Rotation Invariance Supriya Gadi Patil Angel X. Chang Manolis Savva 23 1 0 29 May 2023
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation Wei Zhou Qian Wang Weiwei Jin X. Shi Yong Yu ViT 3DPC 21 5 0 24 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 33 0 0 13 May 2023
Learning Harmonic Molecular Representations on Riemannian Manifold Yiqun Wang Yuning Shen Shih‐Ya Chen Lihao Wang Fei Ye Hao Zhou 37 12 0 27 Mar 2023
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification Pranav Kadam Hardik Prajapati M. Zhang Jintang Xue Shan Liu C.-C. Jay Kuo 3DPC 25 3 0 22 Feb 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Liang Xie Yibo Yang Wenxiao Wang Binbin Lin Deng Cai Xiaofei He Ronghua Liang 3DPC 16 2 0 20 Feb 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration Dingxin Zhang Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 19 9 0 06 Feb 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information Xin Li Mingqiang Wei Songcan Chen 3DPC SSL 32 3 0 30 Jan 2023
Rethinking Rotation Invariance with Point Cloud Registration Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 32 7 0 31 Dec 2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis Pavlo Melnyk Andreas Robinson M. Felsberg Maarten Wadenback 3DPC 18 2 0 26 Nov 2022
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement Zhaofan Qiu Yehao Li Yu Wang Yingwei Pan Ting Yao Tao Mei 3DPC 19 5 0 15 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 36 61 0 11 Nov 2022
GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network Ziyu Shan Qi Yang Rui Ye Yujie Zhang Yiling Xu Xiaozhong Xu Shan Liu 3DPC 42 41 0 29 Oct 2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds Minghua Liu Xuanlin Li Z. Ling Yangyan Li Hao Su 31 31 0 14 Oct 2022
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation Z. Su Max Welling M. Pietikäinen Li Liu 3DPC 32 11 0 13 Sep 2022
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees Jun-Kun Chen Yu-xiong Wang 3DPC 12 2 0 11 Aug 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution Ronghan Chen Yang Cong 3DH 22 19 0 30 May 2022
VectorAdam for Rotation Equivariant Geometry Optimization Selena Ling Nicholas Sharp Alec Jacobson 23 16 0 26 May 2022
VNT-Net: Rotational Invariant Vector Neuron Transformers Hedi Zisling Andrei Sharf 3DPC 24 1 0 19 May 2022
Design equivariant neural networks for 3D point cloud Thuan Trang Thieu N. Vo K. Nguyen 3DPC 11 0 0 02 May 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing Shitong Luo Jiahan Li Jiaqi Guan Yufeng Su Chaoran Cheng Jian-wei Peng Jianzhu Ma 3DPC 19 34 0 28 Mar 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Robin Wang Yibo Yang Dacheng Tao 3DPC 22 18 0 08 Mar 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 27 13 0 02 Mar 2022
RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 32 49 0 26 Feb 2022
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling Xu Wang Yi Jin Yigang Cen Tao Wang Bowen Tang Yidong Li ViT 14 28 0 13 Feb 2022
3D Question Answering Shuquan Ye Dongdong Chen Songfang Han Jing Liao ViT 24 46 0 15 Dec 2021
Integrating Sensing and Communication in Cellular Networks via NR Sidelink Dariush Salami Ramin Hasibi S. Savazzi T. Michoel S. Sigg 22 3 0 15 Sep 2021
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network Zhaoxin Fan Zhenbo Song Wenping Zhang Hongyan Liu Jun He Xiaoyong Du 3DPC 21 9 0 29 Aug 2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks Yuefan Shen Hongbo Fu Zhongshuo Du Xiang Chen Evgeny Burnaev Denis Zorin Kun Zhou Youyi Zheng AI4CE 31 38 0 11 Aug 2021