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To complete or to estimate, that is the question: A Multi-Task Approach
  to Depth Completion and Monocular Depth Estimation

To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation

15 August 2019
Amir Atapour-Abarghouei
T. Breckon
    3DV
ArXiv (abs)PDFHTML

Papers citing "To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation"

36 / 36 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
301
30,152
0
01 Mar 2022
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch
Ce Liu
S. B. Kang
MDE
80
587
0
24 Dec 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth
  Estimation
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Shanshan Zhao
Huan Fu
Biwei Huang
Dacheng Tao
MDE
73
174
0
03 Apr 2019
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by
  a Multi-Task Geometric and Semantic Scene Understanding Approach
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
Amir Atapour-Abarghouei
T. Breckon
MDE
57
34
0
26 Mar 2019
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Wouter Van Gansbeke
D. Neven
Bert De Brabandere
Luc Van Gool
3DV
78
251
0
14 Feb 2019
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image
  Guided Dense Depth Completion
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
Shreyas S. Shivakumar
Ty Nguyen
Ian D. Miller
Steven W. Chen
Vijay Kumar
Camillo J Taylor
68
102
0
02 Feb 2019
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Yi Shi
Michael Felsberg
Jason H. Li
3DV
85
189
0
05 Nov 2018
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth
  Estimation Tasks
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
Chuanxia Zheng
Tat-Jen Cham
Jianfei Cai
MDEGAN
83
194
0
04 Aug 2018
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from
  LiDAR and Monocular Camera
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
Fangchang Ma
G. V. Cavalheiro
S. Karaman
3DVMDESSL
94
418
0
01 Jul 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
486
1,736
0
06 Jun 2018
Propagating Confidences through CNNs for Sparse Data Regression
Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey
Michael Felsberg
Fahad Shahbaz Khan
3DV
72
115
0
30 May 2018
Deep Depth Completion of a Single RGB-D Image
Deep Depth Completion of a Single RGB-D Image
Yinda Zhang
Thomas Funkhouser
3DVMDE
130
397
0
25 Mar 2018
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Nathaniel Chodosh
Chaoyang Wang
Simon Lucey
3DPC3DV
66
127
0
23 Mar 2018
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry
  with Deep Feature Reconstruction
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Huangying Zhan
Ravi Garg
C. Weerasekera
Kejie Li
Harsh Agarwal
Ian Reid
MDE
53
633
0
11 Mar 2018
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Francis Engelmann
Theodora Kontogianni
Alexander Hermans
Bastian Leibe
3DPC
142
270
0
05 Feb 2018
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single
  Image
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Fangchang Ma
S. Karaman
MDE3DV
101
587
0
21 Sep 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
145
828
0
22 Aug 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,136
0
19 May 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
153
2,581
0
25 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
MDESSL
159
672
0
09 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
340
19,711
0
21 Nov 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
157
2,888
0
13 Sep 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GANVLM
90
1,176
0
26 Jul 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DVMDE
417
1,833
0
01 Jun 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
69
5,300
0
25 Apr 2016
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low
  Gradient Regularization
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization
Hongyang Xue
Shengming Zhang
Deng Cai
49
118
0
20 Apr 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep
  Convolutional Neural Networks
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie
Ross B. Girshick
Ali Farhadi
3DH
108
429
0
13 Apr 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRLGAN
118
1,142
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
309
14,032
0
19 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
318
7,401
0
05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 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
180
1,199
0
26 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
214
2,684
0
18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE3DPC3DV
248
4,066
0
09 Jun 2014
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