Point Convolutional Neural Networks by Extension Operators

27 March 2018

Papers citing "Point Convolutional Neural Networks by Extension Operators"

50 / 90 papers shown

Title
LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Songsong Xiong H. Kasaei 116 0 0 27 Apr 2025
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset Jiaqi He Xiangwen Luo Yiping Wang AI4CE 32 0 0 11 Apr 2025
Spectral Informed Mamba for Robust Point Cloud Processing Ali Bahri Moslem Yazdanpanah Mehrdad Noori Sahar Dastani Milad Cheraghalikhani David Osowiechi G. A. V. Hakim Farzad Beizaee Ismail ben Ayed Christian Desrosiers Mamba 3DPC 69 0 0 06 Mar 2025
ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding Guangda Ji Silvan Weder Francis Engelmann Marc Pollefeys Hermann Blum 3DV 62 4 0 17 Oct 2024
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 46 4 0 18 Sep 2024
The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data Florian Kraus Nicolas Scheiner W. Ritter Klaus C. J. Dietmayer 32 13 0 01 Apr 2024
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 45 3 0 15 Jun 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
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding Hengjia Li Tu Zheng Zhihao Chi Zheng Yang Wenxiao Wang Boxi Wu Binbin Lin Deng Cai 3DPC 38 1 0 31 Mar 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
Deep Learning on Implicit Neural Representations of Shapes Luca de Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 21 46 0 10 Feb 2023
Joint Representation Learning for Text and 3D Point Cloud Rui Huang Xuran Pan Henry Zheng Haojun Jiang Zhifeng Xie S. Song Gao Huang 15 19 0 18 Jan 2023
Dynamic Local Feature Aggregation for Learning on Point Clouds Zihao Li Pan Gao Hui Yuan Ran Wei 3DPC 10 3 0 07 Jan 2023
3D Segmentation of Humans in Point Clouds with Synthetic Data Ayca Takmaz Jonas Schult Irem Kaftan Mertcan Akccay Bastian Leibe R. Sumner Francis Engelmann Siyu Tang 3DH 14 23 0 01 Dec 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 30 2 0 29 Nov 2022
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis Shanshan Zhao Mingming Gong Xi Li Dacheng Tao 3DPC 14 0 0 20 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 36 61 0 11 Nov 2022
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers Zhuo Huang Zhiyou Zhao Banghuai Li Jungong Han 3DPC ViT 27 55 0 23 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 29 31 0 14 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
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis Shen Zheng Jinqian Pan Chang-Tien Lu Gaurav Gupta 3DPC 27 7 0 13 Jul 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
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders Yongqiang Mao Xian Sun Kaiqiang Chen Wenhui Diao Zonghao Guo Xiaonan Lu Kun Fu 3DPC 27 7 0 11 Apr 2022
MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World Zheng Dang Lizhou Wang Yu-Xiao Guo Mathieu Salzmann 3DPC 25 14 0 29 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning Cheng Zhang Jian Shi X. Deng Zizhao Wu 3DPC 27 8 0 21 Mar 2022
A Unified Query-based Paradigm for Point Cloud Understanding Zetong Yang Li Jiang Yanan Sun Bernt Schiele Jiaya Jia 3DPC 21 38 0 02 Mar 2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification Dening Lu Qian Xie Linlin Xu Jonathan Li 3DV 16 67 0 02 Mar 2022
ARM3D: Attention-based relation module for indoor 3D object detection Yuqing Lan Yao Duan Chenyi Liu Chenyang Zhu Yueshan Xiong Hui Huang Kai Xu ViT 3DPC 31 18 0 20 Feb 2022
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model En Yen Puang Hao Zhang Hongyuan Zhu Wei Jing 3DPC 20 8 0 13 Feb 2022
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 28 13 0 03 Dec 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 30 3 0 14 Sep 2021
Differentiable Convolution Search for Point Cloud Processing Xing Nie Yongcheng Liu Shaohong Chen Jianlong Chang Chunlei Huo Gaofeng Meng Qi Tian Weiming Hu Chunhong Pan 3DPC 37 6 0 29 Aug 2021
Adaptive Graph Convolution for Point Cloud Analysis Hao Zhou Yidan Feng Mingsheng Fang Mingqiang Wei J. Qin Tong Lu 3DPC 34 134 0 18 Aug 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 8 81 0 05 Jul 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline Ankit Goyal Hei Law Bowei Liu Alejandro Newell Jia Deng 3DPC 30 229 0 09 Jun 2021
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks Meng-Hao Guo Zheng-Ning Liu Tai-Jiang Mu Shimin Hu 20 473 0 05 May 2021
Dual Transformer for Point Cloud Analysis Xian-Feng Han Yi-Fei Jin Hui Cheng Guoqiang Xiao ViT 34 73 0 27 Apr 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 106 315 0 25 Apr 2021
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis Ran Ben Izhak Alon Lahav A. Tal 3DV 29 10 0 23 Apr 2021
FatNet: A Feature-attentive Network for 3D Point Cloud Processing Chaitanya Kaul Nick E. Pears S. Manandhar 3DPC 28 25 0 07 Apr 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li Zhirui Chen Yue Zhao Zekun Tong Yabang Zhao A. Lim Joey Tianyi Zhou 3DPC AAML 60 51 0 30 Mar 2021
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion Chulin Xie Chuxin Wang Bo Zhang Hao-Yu Yang Dong Chen Fang Wen 3DPC 29 82 0 03 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 24 6 0 01 Mar 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 124 268 0 07 Jan 2021
On Learning the Right Attention Point for Feature Enhancement Liqiang Lin Pengdi Huang FU Chi-Wing XU Kai Hao Zhang Hui Huang 3DPC 22 7 0 11 Dec 2020
ODFNet: Using orientation distribution functions to characterize 3D point clouds Y. Sahin Alican Mertan Gözde B. Ünal 3DPC 13 7 0 08 Dec 2020
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 28 64 0 25 Oct 2020
Learning Occupancy Function from Point Clouds for Surface Reconstruction Menglin Jia M. Kyan 3DPC 14 18 0 22 Oct 2020