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DeMoN: Depth and Motion Network for Learning Monocular Stereo

DeMoN: Depth and Motion Network for Learning Monocular Stereo

7 December 2016
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
    3DV
    MDE
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Papers citing "DeMoN: Depth and Motion Network for Learning Monocular Stereo"

50 / 156 papers shown
Title
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial
  Vehicle Flight Control within Unstructured Outdoor Environments
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
Bruna G. Maciel-Pearson
S. Akçay
Amir Atapour-Abarghouei
Christopher J. Holder
T. Breckon
44
33
0
18 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
117
1,750
0
02 Jul 2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Tobias Gruber
Mario Bijelic
Felix Heide
W. Ritter
Klaus C. J. Dietmayer
MDE
3DV
41
29
0
21 Jun 2019
Detecting Photoshopped Faces by Scripting Photoshop
Detecting Photoshopped Faces by Scripting Photoshop
Sheng-Yu Wang
Oliver Wang
Andrew Owens
Richard Y. Zhang
Alexei A. Efros
CVBM
PICV
25
134
0
13 Jun 2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and
  Semantics
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
Vincent Casser
S. Pirk
R. Mahjourian
A. Angelova
MDE
22
102
0
12 Jun 2019
Exploring Temporal Information for Improved Video Understanding
Exploring Temporal Information for Improved Video Understanding
Yi Zhu
25
0
0
25 May 2019
Unsupervised Single Image Underwater Depth Estimation
Unsupervised Single Image Underwater Depth Estimation
Honey Gupta
Kaushik Mitra
27
42
0
25 May 2019
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud
  Registration
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
Weixin Lu
Guowei Wan
Yao Zhou
Xiangyu Fu
P. Yuan
Shiyu Song
3DPC
3DV
25
270
0
10 May 2019
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Eric Brachmann
Carsten Rother
11
243
0
10 May 2019
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D
  Morphable Model using Deep Non-Rigid Structure from Motion
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion
M. Sahasrabudhe
Zhixin Shu
Edward Bartrum
R. Güler
Dimitris Samaras
Iasonas Kokkinos
3DH
DRL
3DV
35
40
0
26 Apr 2019
Learning the Depths of Moving People by Watching Frozen People
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li
Tali Dekel
Forrester Cole
Richard Tucker
Noah Snavely
Ce Liu
William T. Freeman
MDE
3DH
34
242
0
25 Apr 2019
Multi-View Stereo by Temporal Nonparametric Fusion
Multi-View Stereo by Temporal Nonparametric Fusion
Wenshuai Zhao
Arno Solin
Arno Solin
19
80
0
12 Apr 2019
Iterative Residual Refinement for Joint Optical Flow and Occlusion
  Estimation
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur
Stefan Roth
32
272
0
10 Apr 2019
Understanding the Limitations of CNN-based Absolute Camera Pose
  Regression
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Torsten Sattler
Qunjie Zhou
Marc Pollefeys
Laura Leal-Taixe
SSL
33
382
0
18 Mar 2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised
  Monocular Depth Prediction
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
A. Wong
Byung-Woo Hong
Stefano Soatto
MDE
43
91
0
18 Mar 2019
Self-supervised Learning for Single View Depth and Surface Normal
  Estimation
Self-supervised Learning for Single View Depth and Surface Normal Estimation
Huangying Zhan
C. Weerasekera
Ravi Garg
Ian Reid
MDE
SSL
27
27
0
01 Mar 2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu
Liang Feng
Kihwan Kim
S. Narasimhan
Jan Kautz
3DV
20
136
0
09 Jan 2019
Multi-stream CNN based Video Semantic Segmentation for Automated Driving
Multi-stream CNN based Video Semantic Segmentation for Automated Driving
Ganesh Sistu
Sumanth Chennupati
S. Yogamani
30
6
0
08 Jan 2019
On the Continuity of Rotation Representations in Neural Networks
On the Continuity of Rotation Representations in Neural Networks
Yi Zhou
Connelly Barnes
Jingwan Lu
Jimei Yang
Hao Li
3DH
9
1,254
0
17 Dec 2018
Taking a Deeper Look at the Inverse Compositional Algorithm
Taking a Deeper Look at the Inverse Compositional Algorithm
Zhaoyang Lv
F. Dellaert
James M. Rehg
Andreas Geiger
3DV
19
48
0
17 Dec 2018
Unsupervised Learning of Monocular Depth Estimation with Bundle
  Adjustment, Super-Resolution and Clip Loss
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Lipu Zhou
Jiamin Ye
Montiel Abello
Shengze Wang
Michael Kaess
MDE
29
27
0
08 Dec 2018
Deep Model-Based 6D Pose Refinement in RGB
Deep Model-Based 6D Pose Refinement in RGB
Fabian Manhardt
Wadim Kehl
Nassir Navab
Federico Tombari
3DH
25
167
0
07 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Andrei Ambrus
Adrien Gaidon
SupR
MDE
16
216
0
03 Oct 2018
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
R. Clark
Michael Bloesch
J. Czarnowski
Stefan Leutenegger
Andrew J. Davison
14
80
0
09 Sep 2018
DeepTAM: Deep Tracking and Mapping
DeepTAM: Deep Tracking and Mapping
Huizhong Zhou
Benjamin Ummenhofer
Thomas Brox
3DV
38
227
0
06 Aug 2018
Learning monocular depth estimation with unsupervised trinocular
  assumptions
Learning monocular depth estimation with unsupervised trinocular assumptions
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
27
152
0
05 Aug 2018
MVDepthNet: Real-time Multiview Depth Estimation Neural Network
MVDepthNet: Real-time Multiview Depth Estimation Neural Network
Kaixuan Wang
Shaojie Shen
MDE
42
123
0
23 Jul 2018
Learning models for visual 3D localization with implicit mapping
Learning models for visual 3D localization with implicit mapping
Dan Rosenbaum
F. Besse
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
28
30
0
04 Jul 2018
Towards real-time unsupervised monocular depth estimation on CPU
Towards real-time unsupervised monocular depth estimation on CPU
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
MDE
21
156
0
29 Jun 2018
Learning Single-Image Depth from Videos using Quality Assessment
  Networks
Learning Single-Image Depth from Videos using Quality Assessment Networks
Weifeng Chen
Shengyi Qian
Jia Deng
30
67
0
25 Jun 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera
  Motion, Optical Flow and Motion Segmentation
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Anurag Ranjan
Varun Jampani
Lukas Balles
Kihwan Kim
Deqing Sun
Jonas Wulff
Michael J. Black
SSL
37
586
0
24 May 2018
LF-Net: Learning Local Features from Images
LF-Net: Learning Local Features from Images
Y. Ono
Eduard Trulls
Pascal Fua
K. M. Yi
49
526
0
24 May 2018
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from
  Video
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video
Rui Wang
Jan-Michael Frahm
Stephen M. Pizer
3DV
MDE
27
9
0
17 May 2018
Photorealistic Image Reconstruction from Hybrid Intensity and Event
  based Sensor
Photorealistic Image Reconstruction from Hybrid Intensity and Event based Sensor
Prasan A. Shedligeri
Kaushik Mitra
37
32
0
16 May 2018
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
Peng Wang
Ruigang Yang
Binbin Cao
Wenyuan Xu
Yuanqing Lin
3DPC
39
58
0
13 May 2018
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View
  Depth Predictors as Priors
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors
C. Weerasekera
Thanuja Dharmasiri
Ravi Garg
Tom Drummond
Ian Reid
35
27
0
11 May 2018
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion
  Field Estimation
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Zhaoyang Lv
Kihwan Kim
Alejandro J. Troccoli
Deqing Sun
James M. Rehg
Jan Kautz
32
89
0
12 Apr 2018
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
Ganesh Iyer
Krishna Murthy Jatavallabhula
Gunshi Gupta
K. M. Krishna
Liam Paull
SSL
21
51
0
11 Apr 2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense
  Visual SLAM
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch
J. Czarnowski
R. Clark
Stefan Leutenegger
Andrew J. Davison
MDE
3DH
35
370
0
03 Apr 2018
DeepMVS: Learning Multi-view Stereopsis
DeepMVS: Learning Multi-view Stereopsis
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
3DV
14
465
0
02 Apr 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li
Noah Snavely
MDE
3DV
48
1,003
0
02 Apr 2018
Learning to Navigate in Cities Without a Map
Learning to Navigate in Cities Without a Map
Piotr Wojciech Mirowski
Matthew Koichi Grimes
Mateusz Malinowski
Karl Moritz Hermann
Keith Anderson
Denis Teplyashin
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
SSL
HAI
39
316
0
31 Mar 2018
Densely Connected Pyramid Dehazing Network
Densely Connected Pyramid Dehazing Network
He Zhang
Vishal M. Patel
31
910
0
22 Mar 2018
Eigendecomposition-free Training of Deep Networks with Zero
  Eigenvalue-based Losses
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
Zheng Dang
K. M. Yi
Yinlin Hu
Fei Wang
Pascal Fua
Mathieu Salzmann
29
48
0
21 Mar 2018
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Jiahao Pang
Wenxiu Sun
Chengxi Yang
Jimmy S. J. Ren
Ruichao Xiao
Jin Zeng
Liang Lin
24
56
0
18 Mar 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
11
1,133
0
06 Mar 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg
Özgün Çiçek
Silvio Galesso
Aaron Klein
Osama Makansi
Frank Hutter
Thomas Brox
UQCV
40
220
0
20 Feb 2018
SuperPoint: Self-Supervised Interest Point Detection and Description
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
90
2,400
0
20 Dec 2017
CNN based Learning using Reflection and Retinex Models for Intrinsic
  Image Decomposition
CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
A. S. Baslamisli
Hoàng-Ân Lê
Theo Gevers
34
66
0
04 Dec 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
59
824
0
22 Aug 2017
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