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Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
v1v2 (latest)

Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera

IEEE International Conference on Computer Vision (ICCV), 2019
12 July 2019
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
    SSLMDE
ArXiv (abs)PDFHTML

Papers citing "Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera"

50 / 156 papers shown
Title
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from
  Video
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video
Jianfeng Li
Siyue Tao
Shuangfu Song
T. Feng
3DPCMDE
149
6
0
30 May 2021
Unsupervised Scale-consistent Depth Learning from Video
Unsupervised Scale-consistent Depth Learning from VideoInternational Journal of Computer Vision (IJCV), 2021
Jiawang Bian
Huangying Zhan
Naiyan Wang
Zhichao Li
Le Zhang
Chunhua Shen
Ming-Ming Cheng
Ian Reid
MDE
118
203
0
25 May 2021
Self-Supervised Multi-Frame Monocular Scene Flow
Self-Supervised Multi-Frame Monocular Scene FlowComputer Vision and Pattern Recognition (CVPR), 2021
Junhwa Hur
Stefan Roth
MDE
214
58
0
05 May 2021
Self-Improving Semantic Perception for Indoor Localisation
Self-Improving Semantic Perception for Indoor LocalisationConference on Robot Learning (CoRL), 2021
Hermann Blum
Francesco Milano
René Zurbrugg
Roland Siegward
Cesar Cadena
Abel Gawel
159
9
0
04 May 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular DepthComputer Vision and Pattern Recognition (CVPR), 2021
Jamie Watson
Oisin Mac Aodha
V. Prisacariu
Gabriel J. Brostow
Michael Firman
MDE
206
322
0
29 Apr 2021
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow ResidualsComputer Vision and Pattern Recognition (CVPR), 2020
Zhixiang Min
Yiding Yang
Enrique Dunn
140
39
0
14 Apr 2021
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround
  View Fisheye Cameras
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
Varun Ravi Kumar
Marvin Klingner
S. Yogamani
Markus Bach
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
163
41
0
09 Apr 2021
S2R-DepthNet: Learning a Generalizable Depth-specific Structural
  Representation
S2R-DepthNet: Learning a Generalizable Depth-specific Structural RepresentationComputer Vision and Pattern Recognition (CVPR), 2021
Xiaotian Chen
Yuwang Wang
Xuejin Chen
Wenjun Zeng
3DV3DPCMDE
189
57
0
02 Apr 2021
Deep Two-View Structure-from-Motion Revisited
Deep Two-View Structure-from-Motion RevisitedComputer Vision and Pattern Recognition (CVPR), 2021
Jianyuan Wang
Yiran Zhong
Yuchao Dai
Stan Birchfield
Kaihao Zhang
Nikolai Smolyanskiy
Hongdong Li
MDE
186
59
0
01 Apr 2021
Does it work outside this benchmark? Introducing the Rigid Depth
  Constructor tool, depth validation dataset construction in rigid scenes for
  the masses
Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the massesMultimedia tools and applications (MTA), 2021
Clément Pinard
Antoine Manzanera
3DV
78
1
0
29 Mar 2021
DRO: Deep Recurrent Optimizer for Video to Depth
DRO: Deep Recurrent Optimizer for Video to DepthIEEE Robotics and Automation Letters (RA-L), 2021
Xiaodong Gu
Weihao Yuan
Zuozhuo Dai
Siyu Zhu
Chengzhou Tang
Zilong Dong
Ping Tan
VGen
127
20
0
24 Mar 2021
Deep Online Correction for Monocular Visual Odometry
Deep Online Correction for Monocular Visual OdometryIEEE International Conference on Robotics and Automation (ICRA), 2021
Jiaxin Zhang
Wei Sui
Xinggang Wang
Wenming Meng
Hong Zhu
Qian Zhang
123
23
0
18 Mar 2021
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised
  Monocular Depth Estimation
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth EstimationIEEE Robotics and Automation Letters (RA-L), 2021
V. Kaushik
Kartik Jindgar
Brejesh Lall
MDE
179
20
0
01 Mar 2021
Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal
  Video Using Multi-Spectral Consistency Loss
Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency LossIEEE Robotics and Automation Letters (RA-L), 2021
Ukcheol Shin
Kyunghyun Lee
Seokju Lee
In So Kweon
MDE
263
30
0
01 Mar 2021
OmniDet: Surround View Cameras based Multi-task Visual Perception
  Network for Autonomous Driving
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingIEEE Robotics and Automation Letters (RA-L), 2021
Varun Ravi Kumar
S. Yogamani
Hazem Rashed
Ganesh Sitsu
Christian Witt
Isabelle Leang
Stefan Milz
Patrick Mäder
252
103
0
15 Feb 2021
Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth
  Estimation with Both Implicit and Explicit Semantic Guidance
Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic GuidancePattern Recognition (Pattern Recogn.), 2021
Rui Li
Xiantuo He
Danna Xue
Shaolin Su
Qing Mao
Yu Zhu
Jinqiu Sun
Yanning Zhang
SSLMDE
230
41
0
11 Feb 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection
  Consistency
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection ConsistencyAAAI Conference on Artificial Intelligence (AAAI), 2021
Seokju Lee
Sunghoon Im
Stephen Lin
In So Kweon
3DVMDE
163
104
0
04 Feb 2021
CNN-based Ego-Motion Estimation for Fast MAV Maneuvers
CNN-based Ego-Motion Estimation for Fast MAV ManeuversIEEE International Conference on Robotics and Automation (ICRA), 2021
Ying Xu
Guido de Croon
189
4
0
06 Jan 2021
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
Unsupervised Monocular Depth Reconstruction of Non-Rigid ScenesInternational Conference on 3D Vision (3DV), 2020
Ayca Takmaz
D. Paudel
Thomas Probst
Ajad Chhatkuli
Martin R. Oswald
Luc Van Gool
MDE
239
3
0
31 Dec 2020
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised
  Neurosymbolic Online Abduction Integrating Vision and Semantics
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and SemanticsArtificial Intelligence (AI), 2020
Jakob Suchan
M. Bhatt
Srikrishna Varadarajan
168
34
0
28 Dec 2020
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in
  Motion with Neural Rendering
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural RenderingComputer Vision and Pattern Recognition (CVPR), 2020
Wentao Yuan
Zhaoyang Lv
Tanner Schmidt
S. Lovegrove
127
99
0
22 Dec 2020
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth
  Estimation
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth EstimationComputer Vision and Pattern Recognition (CVPR), 2020
Lukas Hoyer
Dengxin Dai
Yuhua Chen
Adrian Köring
Suman Saha
Luc Van Gool
3DPCSSLMDE
255
113
0
19 Dec 2020
Semantic-Guided Representation Enhancement for Self-supervised Monocular
  Trained Depth Estimation
Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation
Rui Li
Qing Mao
Pei Wang
Xiantuo He
Yu Zhu
Jinqiu Sun
Yanning Zhang
MDE
87
8
0
15 Dec 2020
Nothing But Geometric Constraints: A Model-Free Method for Articulated
  Object Pose Estimation
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation
Qihao Liu
Weichao Qiu
Weiyao Wang
Gregory Hager
Alan Yuille
282
29
0
30 Nov 2020
Variational Monocular Depth Estimation for Reliability Prediction
Variational Monocular Depth Estimation for Reliability PredictionInternational Conference on 3D Vision (3DV), 2020
Noriaki Hirose
S. Taguchi
Keisuke Kawano
Satoshi Koide
MDE
95
4
0
24 Nov 2020
Deep Learning based Monocular Depth Prediction: Datasets, Methods and
  Applications
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li
Jiasong Zhu
Jun Liu
Rui Cao
Qingquan Li
Sen Jia
Guoping Qiu
3DHMDE
193
11
0
09 Nov 2020
Unsupervised Monocular Depth Learning with Integrated Intrinsics and
  Spatio-Temporal Constraints
Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal ConstraintsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Kenny Chen
Alexandra Pogue
B. Lopez
Ali-akbar Agha-mohammadi
Ankur M. Mehta
MDE
229
0
0
02 Nov 2020
On Deep Learning Techniques to Boost Monocular Depth Estimation for
  Autonomous Navigation
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
R. Q. Mendes
E. G. Ribeiro
N. D. S. Rosa
V. Grassi
MDE
264
48
0
13 Oct 2020
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware
  Feature Extraction
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction
Jaehoon Choi
Dongki Jung
Dong-hwan Lee
Changick Kim
MDE
152
1
0
06 Oct 2020
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural
  Graph Consensus
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph ConsensusAAAI Conference on Artificial Intelligence (AAAI), 2020
Marius Leordeanu
Mihai Cristian Pîrvu
Dragos Costea
Alina Marcu
E. Slusanschi
Rahul Sukthankar
SSL
144
11
0
02 Oct 2020
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Igor Vasiljevic
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Wolfram Burgard
G. Shakhnarovich
Adrien Gaidon
SSLMDE
111
27
0
15 Aug 2020
Learning to See Through Obstructions with Layered Decomposition
Learning to See Through Obstructions with Layered DecompositionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yu-Lun Liu
Wei-Sheng Lai
Ming-Hsuan Yang
Yung-Yu Chuang
Jia-Bin Huang
96
21
0
11 Aug 2020
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation
  Synergized with Semantic Segmentation for Autonomous Driving
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous DrivingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
V. Kumar
Marvin Klingner
S. Yogamani
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
263
85
0
10 Aug 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu
Kun Yu
Zhixiang Duan
Kuiyuan Yang
SSLMDE
156
257
0
21 Jul 2020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object
  Problem by Semantic Guidance
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic GuidanceEuropean Conference on Computer Vision (ECCV), 2020
Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
MDE
327
370
0
14 Jul 2020
Self-Calibration Supported Robust Projective Structure-from-Motion
Self-Calibration Supported Robust Projective Structure-from-Motion
R. Gong
D. Paudel
Ajad Chhatkuli
Luc Van Gool
3DV
70
0
0
04 Jul 2020
MiniNet: An extremely lightweight convolutional neural network for
  real-time unsupervised monocular depth estimation
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu
Qing Li
Rui Cao
Wenming Tang
Guoping Qiu
MDE
150
41
0
27 Jun 2020
Consistency Guided Scene Flow Estimation
Consistency Guided Scene Flow Estimation
Yuhua Chen
Luc Van Gool
Cordelia Schmid
C. Sminchisescu
TTA
78
7
0
19 Jun 2020
Self-Supervised Joint Learning Framework of Depth Estimation via
  Implicit Cues
Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues
Jianrong Wang
Ge Zhang
Zhenyu Wu
Xuewei Li
Li Liu
MDE
222
39
0
17 Jun 2020
Real-time single image depth perception in the wild with handheld
  devices
Real-time single image depth perception in the wild with handheld devicesItalian National Conference on Sensors (INS), 2020
Filippo Aleotti
Giulio Zaccaroni
Luca Bartolomei
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
124
41
0
10 Jun 2020
Auto-Rectify Network for Unsupervised Indoor Depth Estimation
Auto-Rectify Network for Unsupervised Indoor Depth Estimation
Jiawang Bian
Huangying Zhan
Naiyan Wang
Tat-Jun Chin
Chunhua Shen
Ian Reid
SSLMDE
192
77
0
04 Jun 2020
Deep feature fusion for self-supervised monocular depth prediction
Deep feature fusion for self-supervised monocular depth prediction
V. Kaushik
Brejesh Lall
SSLMDE
102
3
0
16 May 2020
On the uncertainty of self-supervised monocular depth estimation
On the uncertainty of self-supervised monocular depth estimation
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
UQCVMDE
210
297
0
13 May 2020
Consistent Video Depth Estimation
Consistent Video Depth EstimationACM Transactions on Graphics (TOG), 2020
Xuan Luo
Jia-Bin Huang
Richard Szeliski
Kevin Blackburn-Matzen
Johannes Kopf
3DVMDE
249
380
0
30 Apr 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using
  Multi-Task Training with Self-Supervised Depth Estimation
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
Marvin Klingner
Andreas Bär
Tim Fingscheidt
AAML
168
45
0
23 Apr 2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Lokender Tiwari
Pan Ji
Quoc-Huy Tran
Bingbing Zhuang
Saket Anand
Manmohan Chandraker
MDE
185
67
0
22 Apr 2020
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired
  Study
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
D. D. Jong
Federico Paredes-Valles
Guido de Croon
199
9
0
20 Apr 2020
Self-Supervised Monocular Scene Flow Estimation
Self-Supervised Monocular Scene Flow EstimationComputer Vision and Pattern Recognition (CVPR), 2020
Junhwa Hur
Stefan Roth
3DPCMDE
177
116
0
08 Apr 2020
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetComputer Vision and Pattern Recognition (CVPR), 2020
Wang Zhao
Gangyan Zeng
Yezhi Shu
Yong Liu
MDE
174
168
0
03 Apr 2020
Learning to See Through Obstructions
Learning to See Through ObstructionsComputer Vision and Pattern Recognition (CVPR), 2020
Yu-Lun Liu
Wei-Sheng Lai
Ming-Hsuan Yang
Yung-Yu Chuang
Jia-Bin Huang
119
67
0
02 Apr 2020
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