Point Cloud Processing via Recurrent Set Encoding

Point Cloud Processing via Recurrent Set Encoding

AAAI Conference on Artificial Intelligence (AAAI), 2019

25 November 2019

Dimitris N. Metaxas

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Papers citing "Point Cloud Processing via Recurrent Set Encoding"

8 / 8 papers shown

Title
TACO-Net: Topological Signatures Triumph in 3D Object Classification Anirban Ghosh Ayan Dutta 3DPC 8 0 0 29 Sep 2025
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation Sushmita Sarker Prithul Sarker Gunner Stone Ryan Gorman Alireza Tavakkoli G. Bebis Javad Sattarvand 3DPC 3DV 171 32 0 20 May 2024
CloudWalker: Random walks for 3D point cloud shape analysis Adi Mesika Yizhak Ben-Shabat A. Tal 3DPC 170 9 0 02 Dec 2021
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation NetworkAAAI Conference on Artificial Intelligence (AAAI), 2021 Mingmei Cheng Le Hui Jin Xie Zhiqiang Wang 3DPC 135 111 0 16 Apr 2021
Learning to Reconstruct and Segment 3D Objects Bo Yang 3DPC 127 1 0 19 Oct 2020
Deep Learning for 3D Point Cloud Understanding: A Survey Haoming Lu Humphrey Shi 3DPC 199 36 0 18 Sep 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View MapsComputer Vision and Pattern Recognition (CVPR), 2020 Pengxiang Wu Siheng Chen Dimitris N. Metaxas 3DPC 132 169 0 15 Mar 2020
Deep Learning for 3D Point Clouds: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Tianpeng Liu Bennamoun 3DPC 365 1,923 0 27 Dec 2019

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