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1712.00175
Cited By
Learning Depth from Monocular Videos using Direct Methods
1 December 2017
Chaoyang Wang
J. M. Buenaposada
Rui Zhu
Simon Lucey
MDE
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Papers citing
"Learning Depth from Monocular Videos using Direct Methods"
34 / 284 papers shown
Title
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Tianwei Shen
Zixin Luo
Lei Zhou
Hanyu Deng
Runze Zhang
Tian Fang
Long Quan
MDE
30
75
0
25 Feb 2019
Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation
Suryansh Kumar
Ram Srivatsav Ghorakavi
Yuchao Dai
Hongdong Li
MDE
27
16
0
11 Feb 2019
Dense Depth Posterior (DDP) from Single Image and Sparse Range
Yanchao Yang
A. Wong
Stefano Soatto
31
143
0
28 Jan 2019
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
Mingyang Geng
SuNing Shang
Bo Ding
Huaimin Wang
Pengfei Zhang
Lei Zhang
MDE
27
20
0
22 Jan 2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu
Liang Feng
Kihwan Kim
S. Narasimhan
Jan Kautz
3DV
22
137
0
09 Jan 2019
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video
Alisha Sharma
Jonathan Ventura
MDE
39
4
0
04 Jan 2019
S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation
Sinisa Stekovic
Friedrich Fraundorfer
Vincent Lepetit
23
4
0
27 Dec 2018
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences
V. Prasad
Dipanjan Das
Brojeshwar Bhowmick
MDE
23
9
0
23 Dec 2018
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints
V. Prasad
Brojeshwar Bhowmick
MDE
36
26
0
20 Dec 2018
Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion
A. Z. Zhu
Wenxin Liu
Ziyun Wang
Vijay Kumar
Kostas Daniilidis
19
17
0
20 Dec 2018
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
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Yue Meng
Y. Lu
A. Raj
Samuel Sunarjo
Rui Guo
T. Javidi
G. Bansal
Dinesh Bharadia
3DV
MDE
3DPC
36
53
0
13 Dec 2018
DeepV2D: Video to Depth with Differentiable Structure from Motion
Zachary Teed
Jia Deng
3DV
VGen
MDE
28
242
0
11 Dec 2018
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
InverseRenderNet: Learning single image inverse rendering
Ye Yu
W. Smith
SSL
24
151
0
29 Nov 2018
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser
Soren Pirk
R. Mahjourian
A. Angelova
SSL
MDE
30
468
0
15 Nov 2018
Self-Supervised Learning of Depth and Camera Motion from 360° Videos
Fu-En Wang
Hou-Ning Hu
Hsien-Tzu Cheng
Juan-Ting Lin
Shang-Ta Yang
Meng-Li Shih
Hung-Kuo Chu
Min Sun
MDE
28
71
0
13 Nov 2018
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo
Zhenheng Yang
Peng Wang
Yunhong Wang
Wenyuan Xu
Ram Nevatia
Alan Yuille
3DPC
22
287
0
14 Oct 2018
Geometry meets semantics for semi-supervised monocular depth estimation
Pierluigi Zama Ramirez
Matteo Poggi
Fabio Tosi
S. Mattoccia
Luigi Di Stefano
MDE
35
111
0
09 Oct 2018
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos
Yang Wang
Zhenheng Yang
Peng Wang
Yi Yang
Chenxu Luo
Wenyuan Xu
MDE
24
14
0
08 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Andrei Ambrus
Adrien Gaidon
SupR
MDE
21
217
0
03 Oct 2018
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
Chengxi Ye
A. Mitrokhin
Cornelia Fermuller
J. Yorke
Yiannis Aloimonos
MDE
27
37
0
23 Sep 2018
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy S. J. Ren
Xiaogang Wang
MDE
30
206
0
20 Aug 2018
Open-World Stereo Video Matching with Deep RNN
Yiran Zhong
Hongdong Li
Yuchao Dai
3DV
36
76
0
12 Aug 2018
Learning monocular depth estimation with unsupervised trinocular assumptions
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
27
152
0
05 Aug 2018
Geo-Supervised Visual Depth Prediction
Xiaohan Fei
A. Wong
Stefano Soatto
MDE
27
74
0
30 Jul 2018
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks
Andrea Pilzer
Dan Xu
M. Puscas
Elisa Ricci
N. Sebe
MDE
GAN
29
175
0
28 Jul 2018
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
N. Zioulis
Antonis Karakottas
D. Zarpalas
P. Daras
MDE
27
210
0
25 Jul 2018
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
Zhenheng Yang
Peng Wang
Yang Wang
Wenyuan Xu
Ram Nevatia
3DPC
22
109
0
27 Jun 2018
Learning Single-Image Depth from Videos using Quality Assessment Networks
Weifeng Chen
Shengyi Qian
Jia Deng
30
67
0
25 Jun 2018
BA-Net: Dense Bundle Adjustment Network
Chengzhou Tang
P. Tan
3DV
34
287
0
13 Jun 2018
Digging Into Self-Supervised Monocular Depth Estimation
Clément Godard
Oisin Mac Aodha
Michael Firman
Gabriel J. Brostow
MDE
SSL
25
6
0
04 Jun 2018
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data
M. R. Ronchi
Oisin Mac Aodha
R. Eng
Pietro Perona
3DH
25
32
0
17 May 2018
Self-Supervised Monocular Image Depth Learning and Confidence Estimation
Long Chen
Wen Tang
N. John
SSL
MDE
27
28
0
14 Mar 2018
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