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Multi-View Stereo by Temporal Nonparametric Fusion

Multi-View Stereo by Temporal Nonparametric Fusion

12 April 2019
Wenshuai Zhao
Arno Solin
Arno Solin
ArXivPDFHTML

Papers citing "Multi-View Stereo by Temporal Nonparametric Fusion"

16 / 16 papers shown
Title
DPSNet: End-to-end Deep Plane Sweep Stereo
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im
Hae-Gon Jeon
Stephen Lin
In So Kweon
3DV
83
226
0
02 May 2019
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane
  Representation
Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation
Wenshuai Zhao
Arno Solin
Arno Solin
26
2
0
06 Feb 2019
Infinite-Horizon Gaussian Processes
Infinite-Horizon Gaussian Processes
Arno Solin
J. Hensman
Richard Turner
36
28
0
15 Nov 2018
Gaussian Process Prior Variational Autoencoders
Gaussian Process Prior Variational Autoencoders
F. P. Casale
Adrian Dalca
Luca Saglietti
Jennifer Listgarten
Nicolò Fusi
BDL
CML
61
137
0
28 Oct 2018
DeepTAM: Deep Tracking and Mapping
DeepTAM: Deep Tracking and Mapping
Huizhong Zhou
Benjamin Ummenhofer
Thomas Brox
3DV
75
228
0
06 Aug 2018
MVDepthNet: Real-time Multiview Depth Estimation Neural Network
MVDepthNet: Real-time Multiview Depth Estimation Neural Network
Kaixuan Wang
Shaojie Shen
MDE
69
124
0
23 Jul 2018
MVSNet: Depth Inference for Unstructured Multi-view Stereo
MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao
Zixin Luo
Shiwei Li
Tian Fang
Long Quan
MDE
3DV
107
1,218
0
07 Apr 2018
DeepMVS: Learning Multi-view Stereopsis
DeepMVS: Learning Multi-view Stereopsis
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
3DV
81
467
0
02 Apr 2018
Learning a Multi-View Stereo Machine
Learning a Multi-View Stereo Machine
Abhishek Kar
Christian Häne
Jitendra Malik
3DV
65
527
0
17 Aug 2017
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust
  Navigation
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation
Arno Solin
Santiago Cortés Reina
Esa Rahtu
Arno Solin
52
33
0
02 Aug 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
342
4,700
0
15 Mar 2017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall
H. Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
3DV
3DPC
MDE
83
1,331
0
13 Mar 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
3DV
MDE
95
701
0
07 Dec 2016
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of
  Facial Action Units
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
Stefanos Eleftheriadis
Ognjen Rudovic
M. Deisenroth
Maja Pantic
DRL
39
28
0
16 Aug 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Andy Zeng
Shuran Song
Matthias Nießner
Matthew Fisher
Jianxiong Xiao
Thomas Funkhouser
3DV
3DPC
76
987
0
27 Mar 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
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