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Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning
  to End

Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End

5 June 2020
Abdelrahman Eldesokey
M. Felsberg
Karl Holmquist
M. Persson
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"

21 / 21 papers shown
Title
Learning Inverse Laplacian Pyramid for Progressive Depth Completion
Learning Inverse Laplacian Pyramid for Progressive Depth Completion
Kun Wang
Zhiqiang Yan
Junkai Fan
Jun Yu Li
Jian Yang
69
0
0
11 Feb 2025
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient
  and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
Li Li
K. Ismail
Hubert P. H. Shum
T. Breckon
27
19
0
14 Jun 2024
Object Semantics Give Us the Depth We Need: Multi-task Approach to
  Aerial Depth Completion
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion
Sara Hatami Gazani
Fardad Dadboud
M. Bolic
I. Mantegh
H. Najjaran
3DPC
14
0
0
25 Apr 2023
Unsupervised confidence for LiDAR depth maps and applications
Unsupervised confidence for LiDAR depth maps and applications
Andrea Conti
Matteo Poggi
Filippo Aleotti
S. Mattoccia
3DV
14
12
0
06 Oct 2022
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
W. Sun
Qingpeng Zhu
Chongyi Li
Ruicheng Feng
Shangchen Zhou
Jun Jiang
Qingyu Yang
Chen Change Loy
Jinwei Gu
15
9
0
15 Sep 2022
Learning an Efficient Multimodal Depth Completion Model
Learning an Efficient Multimodal Depth Completion Model
Dewang Hou
Yuanyuan Du
Kai Zhao
Yang Zhao
25
5
0
23 Aug 2022
Deep Depth Completion from Extremely Sparse Data: A Survey
Deep Depth Completion from Extremely Sparse Data: A Survey
Junjie Hu
Chenyu Bao
Mete Ozay
Chenyou Fan
Qing Gao
Honghai Liu
Tin Lun Lam
3DV
3DPC
19
54
0
11 May 2022
SelfTune: Metrically Scaled Monocular Depth Estimation through
  Self-Supervised Learning
SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning
Jaehoon Choi
Dongki Jung
Yonghan Lee
Deok-Won Kim
Dinesh Manocha
Donghwan Lee
MDE
SSL
15
5
0
10 Mar 2022
Event Guided Depth Sensing
Event Guided Depth Sensing
Manasi Muglikar
Diederik Paul Moeys
Davide Scaramuzza
3DV
22
18
0
20 Oct 2021
Self-Supervised Depth Completion for Active Stereo
Self-Supervised Depth Completion for Active Stereo
Frederik Warburg
Daniel Hernandez-Juarez
J. Tarrio
Alexander Vakhitov
Ujwal D. Bonde
P. Alcantarilla
3DV
MDE
23
5
0
07 Oct 2021
Monocular Depth Estimation Primed by Salient Point Detection and
  Normalized Hessian Loss
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
Lam Huynh
Matteo Pedone
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
MDE
3DPC
12
3
0
25 Aug 2021
Unsupervised Depth Completion with Calibrated Backprojection Layers
Unsupervised Depth Completion with Calibrated Backprojection Layers
A. Wong
Stefano Soatto
3DV
MDE
3DPC
14
93
0
24 Aug 2021
A Surface Geometry Model for LiDAR Depth Completion
A Surface Geometry Model for LiDAR Depth Completion
Yiming Zhao
Lin Bai
Ziming Zhang
Xinming Huang
3DV
3DPC
23
32
0
17 Apr 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
Chao Qu
Wenxin Liu
Camillo J. Taylor
UQCV
BDL
11
31
0
29 Mar 2021
PENet: Towards Precise and Efficient Image Guided Depth Completion
PENet: Towards Precise and Efficient Image Guided Depth Completion
Mu Hu
Shuling Wang
Bin Li
Shiyu Ning
Li Fan
Xiaojin Gong
MDE
100
273
0
01 Mar 2021
Normalized Convolution Upsampling for Refined Optical Flow Estimation
Normalized Convolution Upsampling for Refined Optical Flow Estimation
Abdelrahman Eldesokey
M. Felsberg
22
12
0
13 Feb 2021
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
221
0
20 Nov 2020
Adaptive Context-Aware Multi-Modal Network for Depth Completion
Adaptive Context-Aware Multi-Modal Network for Depth Completion
Shanshan Zhao
Mingming Gong
Huan Fu
Dacheng Tao
13
152
0
25 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and
  Sparse Sensor Data
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
18
44
0
03 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
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