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

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

23 July 2019
Hamid Hekmatian
Jingfu Jin
S. Al-Stouhi
    3DPC
    3DV
ArXivPDFHTML

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

3 / 3 papers shown
Title
Deterministic Guided LiDAR Depth Map Completion
Deterministic Guided LiDAR Depth Map Completion
Bryan Krauss
Gregory Schroeder
Marko Gustke
Ahmed Hussein
3DV
17
6
0
14 Jun 2021
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR
  Data
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data
Christoph B. Rist
David Emmerichs
Markus Enzweiler
D. Gavrila
3DPC
3DV
13
83
0
18 Nov 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,707
0
06 Jun 2018
1