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TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network

TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network

7 October 2021
Prajwal Singh
Kaustubh Sadekar
Shanmuganathan Raman
    3DPC
ArXivPDFHTML

Papers citing "TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network"

4 / 4 papers shown
Title
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A
  GRU LSTM Hybrid Approach
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
Ramin Mousa
Mitra Khezli
Mohamadreza Azadi
Vahid Nikoofard
Saba Hesaraki
3DPC
33
1
0
09 Mar 2024
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,131
0
02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
189
1,942
0
24 Oct 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
448
15,652
0
02 Nov 2015
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