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GroundNet: Monocular Ground Plane Normal Estimation with Geometric
  Consistency
v1v2v3v4 (latest)

GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency

17 November 2018
Yunze Man
Xinshuo Weng
Xi Li
Kris Kitani
ArXiv (abs)PDFHTML

Papers citing "GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency"

25 / 25 papers shown
Title
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Ricson Cheng
Ziyan Wang
Katerina Fragkiadaki
66
45
0
03 Nov 2018
MONET: Multiview Semi-supervised Keypoint Detection via Epipolar
  Divergence
MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence
Yuan Yao
Yasamin Jafarian
H. Park
78
19
0
31 May 2018
Spline Error Weighting for Robust Visual-Inertial Fusion
Spline Error Weighting for Robust Visual-Inertial Fusion
H. Ovrén
Per-Erik Forssén
40
20
0
13 Apr 2018
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
Chuhang Zou
Alex Colburn
Qi Shan
Derek Hoiem
3DV3DPC
42
238
0
23 Mar 2018
LEGO: Learning Edge with Geometry all at Once by Watching Videos
LEGO: Learning Edge with Geometry all at Once by Watching Videos
Zhenheng Yang
Peng Wang
Yang Wang
Wenyuan Xu
Ram Nevatia
3DPCSSL
67
189
0
15 Mar 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using
  3D Geometric Constraints
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
R. Mahjourian
Martin Wicke
A. Angelova
MDE
102
729
0
15 Feb 2018
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose
  Prediction
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Shubham Tulsiani
Alexei A. Efros
Jitendra Malik
3DV
55
205
0
11 Jan 2018
Joint 3D Proposal Generation and Object Detection from View Aggregation
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven Waslander
3DPC
86
1,399
0
06 Dec 2017
A Perceptual Measure for Deep Single Image Camera Calibration
A Perceptual Measure for Deep Single Image Camera Calibration
Yannick Hold-Geoffroy
Kalyan Sunkavalli
Jonathan Eisenmann
Matt Fisher
Emiliano Gambaretto
Sunil Hadap
Jean-François Lalonde
3DV
56
106
0
02 Dec 2017
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic
  Imagery
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery
Zhongzheng Ren
Yong Jae Lee
SSLOOD
93
212
0
24 Nov 2017
Unsupervised Learning of Geometry with Edge-aware Depth-Normal
  Consistency
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang
Peng Wang
Wenyuan Xu
Liang Zhao
Ram Nevatia
3DVMDE
66
155
0
10 Nov 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
133
827
0
22 Aug 2017
Surface Normals in the Wild
Surface Normals in the Wild
Weifeng Chen
Donglai Xiang
Jia Deng
3DH
88
38
0
10 Apr 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
75
120
0
21 Feb 2017
DSAC - Differentiable RANSAC for Camera Localization
DSAC - Differentiable RANSAC for Camera Localization
Eric Brachmann
Alexander Krull
Sebastian Nowozin
Jamie Shotton
Frank Michel
Stefan Gumhold
Carsten Rother
71
598
0
17 Nov 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
150
2,887
0
13 Sep 2016
Detecting Vanishing Points using Global Image Context in a Non-Manhattan
  World
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
Menghua Zhai
Scott Workman
Nathan Jacobs
63
105
0
19 Aug 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency
Learning Dense Correspondence via 3D-guided Cycle Consistency
Tinghui Zhou
Philipp Krahenbuhl
Mathieu Aubry
Qi-Xing Huang
Alexei A. Efros
140
390
0
18 Apr 2016
Horizon Lines in the Wild
Horizon Lines in the Wild
Scott Workman
Menghua Zhai
Nathan Jacobs
VLM
41
79
0
07 Apr 2016
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal
Bryan C. Russell
Abhinav Gupta
59
222
0
05 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DVSSL
280
356
0
18 Nov 2014
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
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE3DPC3DV
241
4,066
0
09 Jun 2014
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