Global Context Aware Convolutions for 3D Point Cloud Understanding

Global Context Aware Convolutions for 3D Point Cloud Understanding

7 August 2020

Papers citing "Global Context Aware Convolutions for 3D Point Cloud Understanding"

13 / 13 papers shown

Title
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis Xuanhua Yin Dingxin Zhang Jianhui Yu Weidong Cai 27 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 47 1 0 04 Feb 2025
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando Sridha Sridharan Clinton Fookes Peyman Moghadam 3DPC 41 0 0 24 Sep 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong-Son Hy 48 0 0 11 Aug 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 49 1 0 15 Mar 2024
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 49 64 0 11 Nov 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Yan Sun Kostas Daniilidis 36 19 0 16 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 49 18 0 08 Jun 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 40 13 0 02 Mar 2022
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 43 3 0 14 Sep 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 125 318 0 25 Apr 2021
ODFNet: Using orientation distribution functions to characterize 3D point clouds Y. Sahin Alican Mertan Gözde B. Ünal 3DPC 21 7 0 08 Dec 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 154 769 0 30 Mar 2018