RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds
Deep Learning

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RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

International Journal of Computer Vision (IJCV), 2022

26 February 2022

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Papers citing "RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning"

14 / 14 papers shown

Title
Robust Point Cloud Reinforcement Learning via PCA-Based Canonicalization Michael Bezick Vittorio Giammarino A. H. Qureshi 3DPC 328 0 0 23 Oct 2025
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection Yuyang Yu Zhengwei Chen Xuemiao Xu Lei Zhang Haoxin Yang Yongwei Nie Shengfeng He 3DPC 107 0 0 19 Oct 2025
Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders Xuanhua Yin Dingxin Zhang Yu Feng Shunqi Mao Jianhui Yu Weidong (Tom) Cai 3DPC 97 0 0 18 Sep 2025
SHREC 2025: Protein surface shape retrieval including electrostatic potentialComputers & graphics (Comput. Graph.), 2025 Taher Yacoub Camille Depenveiller A. Tatsuma Tin Barisin Eugen Rusakov ... Alireza Tehrani Fanwang Meng Farnaz Heidar-Zadeh Tuan-Anh Yang Matthieu Montes 48 1 0 16 Sep 2025
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis Xuanhua Yin Dingxin Zhang Jianhui Yu Weidong Cai 187 1 0 19 Apr 2025
Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point CloudsInternational Conference on 3D Vision (3DV), 2025 Lisa Weijler Pedro Hermosilla 3DPC 128 0 0 11 Feb 2025
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Bangzhen Liu Chenxi Zheng Xuemiao Xu Cheng Xu Huaidong Zhang Shengfeng He 3DPC 151 6 0 04 Feb 2025
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillationComputer Vision and Image Understanding (CVIU), 2023 T. Furuya Zhoujie Chen Ryutarou Ohbuchi Zhenzhong Kuang 3DPC 269 4 0 09 Aug 2023
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understandingImage and Vision Computing (IVC), 2023 Davide Boscaini Fabio Poiesi 3DPC 3DV 148 9 0 28 Jul 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment Liang Xie Jianlong Wu Wenxiao Wang Binbin Lin Deng Cai Xiaofei He Ronghua Liang 3DPC 242 2 0 20 Feb 2023
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsInternational Journal of Computer Vision (IJCV), 2023 Xu Yan Chaoda Zheng Ying Xue Zhen Li Shuguang Cui Dengxin Dai AAML 3DV 3DPC 246 31 0 03 Jan 2023
Robust Partial-to-Partial Point Cloud Registration in a Full Range Liang Pan Zhongang Cai Ziwei Liu 3DPC 126 30 0 30 Nov 2021
Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional NetworkComputer Vision and Image Understanding (CVIU), 2020 Seunghwan Jung Y. Shin Minyoung Chung 3DPC 210 6 0 22 Dec 2020
DiffusionNet: Discretization Agnostic Learning on SurfacesACM Transactions on Graphics (TOG), 2020 Nicholas Sharp Souhaib Attaiki Keenan Crane M. Ovsjanikov 3DH 284 256 0 01 Dec 2020