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Depth Reconstruction of Translucent Objects from a Single Time-of-Flight
  Camera using Deep Residual Networks

Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks

28 September 2018
Seongjong Song
Hyunjung Shim
ArXiv (abs)PDFHTML

Papers citing "Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks"

11 / 11 papers shown
Title
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
103
1,544
0
29 May 2018
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in
  Time-of-Flight Imaging
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
Julio Marco
Quercus Hernandez
A. Muñoz
Yue Dong
A. Jarabo
Min H. Kim
Xin Tong
Diego F. F. Gutierrez
35
74
0
23 May 2018
Photometric Stereo in Participating Media Considering Shape-Dependent
  Forward Scatter
Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter
Yuki Fujimura
M. Iiyama
Atsushi Hashimoto
M. Minoh
21
17
0
09 Apr 2018
Visual Attribute Transfer through Deep Image Analogy
Visual Attribute Transfer through Deep Image Analogy
Jing Liao
Yuan Yao
Lu Yuan
G. Hua
S. B. Kang
FAttGANOOD
77
521
0
02 May 2017
Single image depth estimation by dilated deep residual convolutional
  neural network and soft-weight-sum inference
Single image depth estimation by dilated deep residual convolutional neural network and soft-weight-sum inference
Bo Li
Yuchao Dai
Huahui Chen
Mingyi He
MDE
51
35
0
27 Apr 2017
Learned Multi-Patch Similarity
Learned Multi-Patch Similarity
Wilfried Hartmann
S. Galliani
M. Havlena
Luc Van Gool
Konrad Schindler
3DV
65
106
0
26 Mar 2017
Deep Multi-scale Convolutional Neural Network for Dynamic Scene
  Deblurring
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah
Tae Hyun Kim
Kyoung Mu Lee
145
1,979
0
07 Dec 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
106
405
0
08 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Kinect Range Sensing: Structured-Light versus Time-of-Flight Kinect
Kinect Range Sensing: Structured-Light versus Time-of-Flight Kinect
Hamed Sarbolandi
D. Lefloch
A. Kolb
3DPCAI4TS
39
376
0
20 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
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