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RVMDE: Radar Validated Monocular Depth Estimation for Robotics
v1v2v3 (latest)

RVMDE: Radar Validated Monocular Depth Estimation for Robotics

11 September 2021
Muhamamd Ishfaq Hussain
M. Rafique
M. Jeon
    MDE
ArXiv (abs)PDFHTMLGithub (15★)

Papers citing "RVMDE: Radar Validated Monocular Depth Estimation for Robotics"

24 / 24 papers shown
Title
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of
  Dynamic Scenes
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
Stefano Gasperini
P. Koch
Vinzenz Dallabetta
Nassir Navab
Benjamin Busam
Federico Tombari
MDE
83
42
0
10 Aug 2021
Depth Estimation from Monocular Images and Sparse radar using Deep
  Ordinal Regression Network
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network
Chen-Chou Lo
P. Vandewalle
MDE
81
37
0
15 Jul 2021
Radar-Camera Pixel Depth Association for Depth Completion
Radar-Camera Pixel Depth Association for Depth Completion
Yunfei Long
Daniel Morris
Xiaoming Liu
Marcos Castro
Punarjay Chakravarty
P. Narayanan
129
79
0
05 Jun 2021
Depth Estimation from Monocular Images and Sparse Radar Data
Depth Estimation from Monocular Images and Sparse Radar Data
Juan Lin
Dengxin Dai
Luc Van Gool
MDE
67
77
0
30 Sep 2020
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for
  Object Detection
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
Felix Nobis
Maximilian Geisslinger
Markus Weber
Johannes Betz
Markus Lienkamp
53
260
0
15 May 2020
Monocular Depth Estimation Based On Deep Learning: An Overview
Monocular Depth Estimation Based On Deep Learning: An Overview
Chaoqiang Zhao
Qiyu Sun
Chongzhen Zhang
Yang Tang
Feng Qian
MDE
201
254
0
14 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
535
42,591
0
03 Dec 2019
A Survey on Deep Learning Architectures for Image-based Depth
  Reconstruction
A Survey on Deep Learning Architectures for Image-based Depth Reconstruction
Hamid Laga
3DVMDE
103
22
0
14 Jun 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
301
5,779
0
26 Mar 2019
Distant Vehicle Detection Using Radar and Vision
Distant Vehicle Detection Using Radar and Vision
Simon Chadwick
William P. Maddern
Paul Newman
124
186
0
30 Jan 2019
Depth Estimation via Affinity Learned with Convolutional Spatial
  Propagation Network
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
Xinjing Cheng
Peng Wang
Ruigang Yang
MDE
99
322
0
01 Aug 2018
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from
  LiDAR and Monocular Camera
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
Fangchang Ma
G. V. Cavalheiro
S. Karaman
3DVMDESSL
80
417
0
01 Jul 2018
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
484
1,733
0
06 Jun 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
112
2,306
0
30 Oct 2017
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single
  Image
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Fangchang Ma
S. Karaman
MDE3DV
86
587
0
21 Sep 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
360
27,244
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
483
22,143
0
09 Dec 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep
  Convolutional Neural Networks
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie
Ross B. Girshick
Ali Farhadi
3DH
100
429
0
13 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,644
0
06 Apr 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DVMDE
121
1,530
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
120
652
0
22 Jun 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
209
2,683
0
18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
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