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Learning monocular depth estimation with unsupervised trinocular
  assumptions

Learning monocular depth estimation with unsupervised trinocular assumptions

5 August 2018
Matteo Poggi
Fabio Tosi
S. Mattoccia
    MDE
ArXivPDFHTML

Papers citing "Learning monocular depth estimation with unsupervised trinocular assumptions"

35 / 35 papers shown
Title
Survey on Monocular Metric Depth Estimation
Survey on Monocular Metric Depth Estimation
Jiuling Zhang
VLM
79
0
0
21 Jan 2025
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
Jinchang Zhang
Ningning Xu
Hao Zhang
Guoyu Lu
MDE
47
0
0
18 Sep 2024
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for
  Indoor Scenes
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes
Chaoqiang Zhao
Matteo Poggi
Fabio Tosi
Lei Zhou
Qiyu Sun
Yang Tang
S. Mattoccia
MDE
36
14
0
26 Sep 2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Xingyu Miao
Yang Bai
Haoran Duan
Yawen Huang
Fan Wan
Xinxing Xu
Yang Long
Yefeng Zheng
MDE
31
17
0
14 Aug 2023
The Monocular Depth Estimation Challenge
The Monocular Depth Estimation Challenge
Jaime Spencer
Chao Qian
Chris Russell
Simon Hadfield
E. Graf
...
Fabio Tosi
Hao Wang
Youming Zhang
Yusheng Zhang
Chaoqiang Zhao
MDE
22
20
0
22 Nov 2022
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater
  Robots
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots
Boxiao Yu
Jiayi Wu
M. Islam
MDE
15
37
0
26 Sep 2022
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision
  Transformer
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao
Youming Zhang
Matteo Poggi
Fabio Tosi
Xianda Guo
Zheng Zhu
Guan Huang
Yang Tang
S. Mattoccia
ViT
MDE
49
176
0
06 Aug 2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design
  Decisions that Matter
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer Martin
Chris Russell
Simon Hadfield
Richard Bowden
MDE
35
22
0
02 Aug 2022
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Mu He
Le Hui
Yikai Bian
J. Ren
Jin Xie
Jian Yang
MDE
30
55
0
25 Jul 2022
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based
  Learning
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
Geonho Cha
Hoyong Jang
Dongyoon Wee
21
1
0
20 May 2022
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense
  Mapping
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping
Pan Ji
Qingan Yan
Yuxin Ma
Yi Tian Xu
MDE
39
11
0
03 May 2022
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame
  Monocular Depth
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Ziyue Feng
Liang Yang
Longlong Jing
Haiyan Wang
Yingli Tian
Bing Li
MDE
34
62
0
29 Mar 2022
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised
  Monocular Depth Estimation
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth Estimation
Zhengming Zhou
Qiulei Dong
MDE
17
16
0
21 Mar 2022
ChiTransformer:Towards Reliable Stereo from Cues
ChiTransformer:Towards Reliable Stereo from Cues
Qing Su
Shihao Ji
MDE
ViT
23
12
0
09 Mar 2022
Pseudo Supervised Monocular Depth Estimation with Teacher-Student
  Network
Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network
Huan Liu
Junsong Yuan
Chen Wang
Jun Chen
MDE
38
4
0
22 Oct 2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View
  Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
J. P. Bello
Munchurl Kim
3DV
MDE
35
48
0
12 Mar 2021
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
51
42
0
13 Oct 2020
Reversing the cycle: self-supervised deep stereo through enhanced
  monocular distillation
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
Filippo Aleotti
Fabio Tosi
Li Zhang
Matteo Poggi
S. Mattoccia
SSL
MDE
29
52
0
17 Aug 2020
Forget About the LiDAR: Self-Supervised Depth Estimators with MED
  Probability Volumes
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
Juan Luis Gonzalez
Munchurl Kim
26
86
0
09 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and
  Sparse Sensor Data
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
42
44
0
03 Aug 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
UQCV
MDE
33
263
0
13 May 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
26
64
0
22 Apr 2020
The Edge of Depth: Explicit Constraints between Segmentation and Depth
The Edge of Depth: Explicit Constraints between Segmentation and Depth
Shengjie Zhu
Garrick Brazil
Xiaoming Liu
MDE
17
104
0
01 Apr 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi
Filippo Aleotti
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
Luigi Di Stefano
S. Mattoccia
MDE
19
76
0
31 Mar 2020
Monocular Depth Prediction through Continuous 3D Loss
Monocular Depth Prediction through Continuous 3D Loss
Minghan Zhu
M. G. Jadidi
Yuanxin Zhong
Pingping Lu
Zhong Cao
Ryan Eustice
H. Peng
3DH
3DPC
3DV
MDE
15
4
0
21 Mar 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
69
251
0
14 Mar 2020
Perception and Navigation in Autonomous Systems in the Era of Learning:
  A Survey
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Yang Tang
Chaoqiang Zhao
Jianrui Wang
Chongzhen Zhang
Qiyu Sun
Weixing Zheng
W. Du
Feng Qian
Jürgen Kurths
18
65
0
08 Jan 2020
SteReFo: Efficient Image Refocusing with Stereo Vision
SteReFo: Efficient Image Refocusing with Stereo Vision
Benjamin Busam
Matthieu Hog
Jingyu Sun
Greg Slabaugh
VGen
MDE
29
33
0
29 Sep 2019
Self-Supervised Monocular Depth Hints
Self-Supervised Monocular Depth Hints
Jamie Watson
Michael Firman
Gabriel J. Brostow
Daniyar Turmukhambetov
SSL
MDE
28
247
0
19 Sep 2019
Enhancing self-supervised monocular depth estimation with traditional
  visual odometry
Enhancing self-supervised monocular depth estimation with traditional visual odometry
Lorenzo Andraghetti
Panteleimon Myriokefalitakis
Pier Luigi Dovesi
Belén Luque
Matteo Poggi
Alessandro Pieropan
S. Mattoccia
MDE
36
41
0
08 Aug 2019
Learning to Adapt for Stereo
Learning to Adapt for Stereo
A. Tonioni
Oscar Rahnama
Thomas Joy
Luigi Di Stefano
Thalaiyasingam Ajanthan
Philip Torr
13
84
0
05 Apr 2019
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
Real-time self-adaptive deep stereo
Real-time self-adaptive deep stereo
A. Tonioni
Fabio Tosi
Matteo Poggi
S. Mattoccia
Luigi Di Stefano
22
265
0
12 Oct 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
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
200
1,710
0
06 Jun 2018
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