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Depth from Monocular Images using a Semi-Parallel Deep Neural Network
  (SPDNN) Hybrid Architecture

Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture

10 March 2017
S. Bazrafkan
Hossein Javidnia
Joseph Lemley
Peter Corcoran
    MDE
ArXivPDFHTML

Papers citing "Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture"

5 / 5 papers shown
Title
Skeleton-Based Human Action Recognition with Global Context-Aware
  Attention LSTM Networks
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks
Jun Liu
G. Wang
Ling-yu Duan
Kamila Abdiyeva
Alex C. Kot
HAI
78
486
0
18 Jul 2017
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular
  Depth Estimation
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Dan Xu
Elisa Ricci
Wanli Ouyang
Xiaogang Wang
N. Sebe
24
416
0
07 Apr 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov
J. Stückler
Bastian Leibe
MDE
SSL
81
669
0
09 Feb 2017
Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
119
1,384
0
20 Oct 2015
Learning Depth from Single Monocular Images Using Deep Convolutional
  Neural Fields
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
MDE
77
1,196
0
26 Feb 2015
1