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. 1601.01750
  4. Cited By
Learning to Remove Multipath Distortions in Time-of-Flight Range Images
  for a Robotic Arm Setup

Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup

8 January 2016
Kilho Son
Ming Liu
Yuichi Taguchi
ArXivPDFHTML

Papers citing "Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup"

3 / 3 papers shown
Title
Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate
  Multi-Modal Dataset for DEnse 3D Scene Regression
Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression
Hyunjun Jung
Patrick Ruhkamp
Guangyao Zhai
Nikolas Brasch
Yitong Li
...
Yiren Zhou
Anil Armagan
Slobodan Ilic
A. Leonardis
Benjamin Busam
3DV
MDE
42
13
0
09 May 2022
CroMo: Cross-Modal Learning for Monocular Depth Estimation
CroMo: Cross-Modal Learning for Monocular Depth Estimation
Yannick Verdié
Jifei Song
Barnabé Mas
Benjamin Busam
Alevs Leonardis
Jingyu Sun
MDE
27
15
0
23 Mar 2022
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight
  Technologies
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies
Radu Horaud
M. Hansard
Georgios D. Evangelidis
C. Ménier
17
258
0
12 Dec 2020
1