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. 1912.06268
  4. Cited By
Inferring Distributions Over Depth from a Single Image

Inferring Distributions Over Depth from a Single Image

12 December 2019
Gengshan Yang
Peiyun Hu
Deva Ramanan
    UQCV
ArXivPDFHTML

Papers citing "Inferring Distributions Over Depth from a Single Image"

8 / 8 papers shown
Title
Virtual Occlusions Through Implicit Depth
Virtual Occlusions Through Implicit Depth
Jamie Watson
Mohamed Sayed
Z. Qureshi
Gabriel J. Brostow
Sara Vicente
Oisin Mac Aodha
Michael Firman
50
7
0
11 May 2023
On Monocular Depth Estimation and Uncertainty Quantification using
  Classification Approaches for Regression
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
Xuanlong Yu
Gianni Franchi
Emanuel Aldea
UQCV
40
2
0
24 Feb 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in
  Dynamic Environments
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Christian Homeyer
Oliver Lange
Christoph Schnörr
MDE
15
3
0
21 Jan 2022
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Hang Zhou
David Greenwood
Sarah Taylor
SSL
MDE
17
110
0
18 Oct 2021
Mechanical Search on Shelves using Lateral Access X-RAY
Mechanical Search on Shelves using Lateral Access X-RAY
Huang Huang
Marcus Dominguez-Kuhne
Jeffrey Ichnowski
V. Satish
Michael Danielczuk
Kate Sanders
Andrew Lee
A. Angelova
Vincent Vanhoucke
Ken Goldberg
27
30
0
23 Nov 2020
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity
  as a Surrogate
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi
Hao Wang
Yonglong Tian
Hao He
Nir Shavit
UQCV
26
30
0
28 Sep 2019
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
203
1,710
0
06 Jun 2018
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
287
9,167
0
06 Jun 2015
1