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MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point
  Cloud Downsampling

MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling

1 May 2020
Y. Qian
Junhui Hou
Qijian Zhang
Yiming Zeng
Sam Kwong
Ying He
    3DPC
ArXivPDFHTML

Papers citing "MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling"

6 / 6 papers shown
Title
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu
Yuxin Wan
Hao Fu
Julius Pfrommer
Zeyun Zhong
Junwei Zheng
Jiaming Zhang
Jürgen Beyerer
3DPC
54
0
0
28 Apr 2025
REPS: Reconstruction-based Point Cloud Sampling
REPS: Reconstruction-based Point Cloud Sampling
Guoqing Zhang
Wenbo Zhao
Jian Liu
Xianming Liu
3DPC
28
0
0
08 Mar 2024
APSNet: Attention Based Point Cloud Sampling
APSNet: Attention Based Point Cloud Sampling
Yang Ye
Xiulong Yang
Shihao Ji
3DPC
31
6
0
11 Oct 2022
Point Set Self-Embedding
Point Set Self-Embedding
Ruihui Li
Xianzhi Li
T. Wong
Chi-Wing Fu
3DPC
25
3
0
28 Feb 2022
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu
Caiming Xiong
Chih-Yao Ma
R. Socher
L. Davis
122
194
0
29 Nov 2018
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
522
0
21 Sep 2016
1