ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.15254
  4. Cited By
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty

Bayesian Deep Basis Fitting for Depth Completion with Uncertainty

29 March 2021
Chao Qu
Wenxin Liu
Camillo J. Taylor
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Bayesian Deep Basis Fitting for Depth Completion with Uncertainty"

9 / 9 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
85
0
0
04 May 2025
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth
  Completion
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion
Zhiqiang Yan
Kun Wang
Xiang Li
Zhenyu Zhang
Jun Yu Li
Jian Yang
3DV
27
28
0
20 Nov 2022
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
Xin Liu
Xiaofei Shao
Boqian Wang
Yali Li
Shengjin Wang
GNN
30
32
0
19 Oct 2022
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
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
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
Xingxing Zuo
Nate Merrill
Wei Li
Yong-jin Liu
Marc Pollefeys
G. Huang
72
39
0
18 Dec 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
270
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
261
9,134
0
06 Jun 2015
1