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Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By
  Lookup Tables

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables

14 August 2019
Hongxin Lin
Zelin Xiao
Yang Tan
Hongyang Chao
Shengyong Ding
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables"

10 / 10 papers shown
Title
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for
  3D Shape Recognition
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
Haoxuan You
Yifan Feng
Rongrong Ji
Yue Gao
3DPC
109
171
0
23 Aug 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
82
939
0
12 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 Jan 2018
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
369
11,164
0
07 Jun 2017
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 Guibas
3DH3DPC3DVPINN
500
14,384
0
02 Dec 2016
GIFT: A Real-time and Scalable 3D Shape Search Engine
GIFT: A Real-time and Scalable 3D Shape Search Engine
S. Bai
X. Bai
Zhichao Zhou
Zhaoxiang Zhang
Longin Jan Latecki
49
281
0
07 Apr 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,864
0
01 Oct 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
167
3,223
0
05 May 2015
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
181
1,693
0
02 Apr 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
188
2,120
0
21 Dec 2013
1