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High Quality Monocular Depth Estimation via Transfer Learning
v1v2 (latest)

High Quality Monocular Depth Estimation via Transfer Learning

31 December 2018
Ibraheem Alhashim
Peter Wonka
    MDE3DV
ArXiv (abs)PDFHTML

Papers citing "High Quality Monocular Depth Estimation via Transfer Learning"

22 / 172 papers shown
Title
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning
AI Playground: Unreal Engine-based Data Ablation Tool for Deep LearningInternational Symposium on Visual Computing (ISVC), 2020
Mehdi Mousavi
Aashis Khanal
Rolando Estrada
145
19
0
13 Jul 2020
Regression Prior Networks
Regression Prior Networks
A. Malinin
Sergey Chervontsev
Ivan Provilkov
Mark Gales
BDLUQCV
210
39
0
20 Jun 2020
Persistent Map Saving for Visual Localization for Autonomous Vehicles:
  An ORB-SLAM Extension
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension
Felix Nobis
Odysseas Papanikolaou
Johannes Betz
Markus Lienkamp
132
16
0
15 May 2020
Exploring the Capabilities and Limits of 3D Monocular Object Detection
  -- A Study on Simulation and Real World Data
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data
Felix Nobis
Fabian Brunhuber
Simon Janssen
Johannes Betz
Markus Lienkamp
3DPC
155
4
0
15 May 2020
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo NetworkInternational Conference on Information Photonics (ICIP), 2020
Baichuan Huang
Hongwei Yi
Can Huang
Yijia He
Jingbin Liu
Xiao-Chang Liu
3DPC
124
77
0
30 Apr 2020
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
Baichuan Huang
Hongwei Yi
Can Huang
Yijia He
Jingbin Liu
Xiao-Chang Liu
3DPC3DV
67
0
0
21 Apr 2020
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for
  Monocular Depth Estimation
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation
Linda Wang
M. Famouri
A. Wong
MDE
115
8
0
17 Apr 2020
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation
  for Autonomous Driving Applications
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Feng Xue
Guirong Zhuo
Ziyuan Huang
Wufei Fu
Zhuoyue Wu
M. Ang
MDE
245
88
0
12 Apr 2020
Towards a MEMS-based Adaptive LIDAR
Towards a MEMS-based Adaptive LIDAR
Francesco Pittaluga
Z. Tasneem
J. Folden
Brevin Tilmon
Ayan Chakrabarti
S. Koppal
3DV
108
3
0
21 Mar 2020
Low-viewpoint forest depth dataset for sparse rover swarms
Low-viewpoint forest depth dataset for sparse rover swarmsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Chaoyue Niu
Danesh Tarapore
Klaus-Peter Zauner
131
9
0
09 Mar 2020
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual Servoing
DFVS: Deep Flow Guided Scene Agnostic Image Based Visual ServoingIEEE International Conference on Robotics and Automation (ICRA), 2020
H. Yenala
Harit Pandya
Ayush Gaud
Shreyas P. J. Reddy
S. Shankar
Madhava Krishna
76
23
0
08 Mar 2020
Object Detection on Single Monocular Images through Canonical
  Correlation Analysis
Object Detection on Single Monocular Images through Canonical Correlation Analysis
Zifan Yu
Suya You
74
0
0
13 Feb 2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
Wei Yin
Xinlong Wang
Chunhua Shen
Yifan Liu
Zhi Tian
Songcen Xu
Changming Sun
Dou Renyin
3DHMDE
197
85
0
03 Feb 2020
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in
  Autonomous Driving
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving
Jean M. Uwabeza Vianney
Shubhra Aich
Bingbing Liu
3DPC
146
38
0
21 Nov 2019
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
ClearGrasp: 3D Shape Estimation of Transparent Objects for ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2019
Shreeyak S. Sajjan
M. Moore
Mike Pan
Ganesh Nagaraja
Johnny Lee
Andy Zeng
Shuran Song
3DPC
230
265
0
06 Oct 2019
Task-Aware Monocular Depth Estimation for 3D Object Detection
Task-Aware Monocular Depth Estimation for 3D Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2019
Xinlong Wang
Wei Yin
Tao Kong
Yuning Jiang
Lei Li
Chunhua Shen
MDE
143
63
0
17 Sep 2019
DIODE: A Dense Indoor and Outdoor DEpth Dataset
DIODE: A Dense Indoor and Outdoor DEpth Dataset
Igor Vasiljevic
Nicholas I. Kolkin
Shanyi Zhang
Ruotian Luo
Haochen Wang
...
Andrea F. Daniele
Mohammadreza Mostajabi
Steven Basart
Matthew R. Walter
Gregory Shakhnarovich
MDE3DV
232
283
0
01 Aug 2019
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
Hamid Hekmatian
Jingfu Jin
S. Al-Stouhi
3DPC3DV
178
4
0
23 Jul 2019
Real-time Vision-based Depth Reconstruction with NVidia Jetson
Real-time Vision-based Depth Reconstruction with NVidia JetsonEuropean Conference on Mobile Robots (ECMR), 2019
A. Bokovoy
K. Muravyev
Konstantin Yakovlev
3DVMDE
131
17
0
16 Jul 2019
GSLAM: A General SLAM Framework and Benchmark
GSLAM: A General SLAM Framework and Benchmark
Yong Zhao
Shibiao Xu
Shuhui Bu
Hongkai Jiang
Pengcheng Han
VLM
82
33
0
21 Feb 2019
DeepV2D: Video to Depth with Differentiable Structure from Motion
DeepV2D: Video to Depth with Differentiable Structure from Motion
Zachary Teed
Gaowen Liu
3DVVGenMDE
241
291
0
11 Dec 2018
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and
  Deformable Reconstruction from a Single Image
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
D. Fuentes-Jiménez
D. Casillas-Pérez
Daniel Pizarro-Pérez
Toby Collins
Adrien Bartoli
3DV3DH
166
10
0
19 Nov 2018
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