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Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map
  Prediction
v1v2v3 (latest)

Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction

23 July 2019
Hamid Hekmatian
Jingfu Jin
S. Al-Stouhi
    3DPC3DV
ArXiv (abs)PDFHTMLGithub (34★)

Papers citing "Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction"

21 / 21 papers shown
Title
Generating and Exploiting Probabilistic Monocular Depth Estimates
Generating and Exploiting Probabilistic Monocular Depth Estimates
Zhihao Xia
Patrick Sullivan
Ayan Chakrabarti
UQCVVLMMDE
55
34
0
13 Jun 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
70
251
0
14 Feb 2019
High Quality Monocular Depth Estimation via Transfer Learning
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim
Peter Wonka
MDE3DV
64
460
0
31 Dec 2018
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene
  from Sparse LiDAR Data and Single Color Image
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Jiaxiong Qiu
Zhaopeng Cui
Yinda Zhang
Xingdi Zhang
Shuaicheng Liu
B. Zeng
Marc Pollefeys
3DV3DPCMDE
75
369
0
02 Dec 2018
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
69
189
0
05 Nov 2018
Detail Preserving Depth Estimation from a Single Image Using Attention
  Guided Networks
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
Zhixiang Hao
Yu Li
Shaodi You
Feng Lu
MDE
107
88
0
03 Sep 2018
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse
  Depth Completion
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Zixuan Huang
Junming Fan
Shenggan Cheng
Shuai Yi
Xiaogang Wang
Hongsheng Li
3DV
64
139
0
27 Aug 2018
Sparse and Dense Data with CNNs: Depth Completion and Semantic
  Segmentation
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
M. Jaritz
Raoul de Charette
É. Wirbel
Xavier Perrotton
F. Nashashibi
3DPC3DVMDE
57
268
0
02 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
73
417
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
484
1,731
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
68
115
0
30 May 2018
Estimating Depth from RGB and Sparse Sensing
Estimating Depth from RGB and Sparse Sensing
Zhao Chen
Vijay Badrinarayanan
Gilad Drozdov
Andrew Rabinovich
MDE3DV
71
109
0
08 Apr 2018
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Nathaniel Chodosh
Chaoyang Wang
Simon Lucey
3DPC3DV
64
127
0
23 Mar 2018
In Defense of Classical Image Processing: Fast Depth Completion on the
  CPU
In Defense of Classical Image Processing: Fast Depth Completion on the CPU
Jason Ku
Ali Harakeh
Steven L. Waslander
77
284
0
31 Jan 2018
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
130
827
0
22 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
180
5,605
0
21 Jul 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
3,123
0
19 May 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
116
416
0
07 Apr 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
BDLOODUDUQCVPER
359
4,718
0
15 Mar 2017
Deep Depth Super-Resolution : Learning Depth Super-Resolution using Deep
  Convolutional Neural Network
Deep Depth Super-Resolution : Learning Depth Super-Resolution using Deep Convolutional Neural Network
Xibin Song
Yuchao Dai
Xueying Qin
SupRMDE
55
87
0
07 Jul 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
1