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LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks

LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks

6 April 2019
Sudhakar Kumawat
Shanmuganathan Raman
    3DPC
ArXivPDFHTML

Papers citing "LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks"

9 / 9 papers shown
Title
2D bidirectional gated recurrent unit convolutional Neural networks for
  end-to-end violence detection In videos
2D bidirectional gated recurrent unit convolutional Neural networks for end-to-end violence detection In videos
Abdarahmane Traoré
M. Akhloufi
24
13
0
11 Sep 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in
  a Large Field of View with Perturbations
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Rui She
Sijie Wang
Qiyu Kang
Kai Zhao
Yang Song
Wee Peng Tay
Tianyu Geng
Xingchao Jian
DiffM
3DPC
41
2
0
06 Jan 2024
MVT: Multi-view Vision Transformer for 3D Object Recognition
MVT: Multi-view Vision Transformer for 3D Object Recognition
Shuo Chen
Tan Yu
Ping Li
ViT
37
43
0
25 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with
  PolyShape Representation
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
Multitask Multi-database Emotion Recognition
Multitask Multi-database Emotion Recognition
Manh-Tu Vu
M. Beurton-Aimar
CVBM
27
28
0
08 Jul 2021
Residual Enhanced Multi-Hypergraph Neural Network
Residual Enhanced Multi-Hypergraph Neural Network
Jing Huang
Xiaolin Huang
Jie-jin Yang
9
8
0
02 May 2021
Exploiting Local Geometry for Feature and Graph Construction for Better
  3D Point Cloud Processing with Graph Neural Networks
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Siddharth Srivastava
Gaurav Sharma
3DPC
27
15
0
28 Mar 2021
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
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
180
1,940
0
24 Oct 2016
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