ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.09968
  4. Cited By
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and
  Depth Estimation

SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation

22 November 2019
Yasin Almalioglu
Mehmet Turan
Alp Eren Sari
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Andrew Markham
A. Trigoni
    MDE
ArXivPDFHTML

Papers citing "SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation"

15 / 15 papers shown
Title
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
André O. Françani
Marcos R. O. A. Máximo
46
8
0
10 May 2023
Unsupervised Deep Persistent Monocular Visual Odometry and Depth
  Estimation in Extreme Environments
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments
Yasin Almalioglu
Angel Santamaria-Navarro
B. Morrell
Ali-akbar Agha-mohammadi
MDE
31
7
0
31 Oct 2020
VR-Caps: A Virtual Environment for Capsule Endoscopy
VR-Caps: A Virtual Environment for Capsule Endoscopy
Kagan Incetan
Ibrahim Omer Celik
A. Obeid
Guliz Irem Gokceler
Kutsev Bengisu Ozyoruk
...
Richard J. Chen
Faisal Mahmood
Hunter B. Gilbert
Nicholas J. Durr
Mehmet Turan
MedIm
77
67
0
29 Aug 2020
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation
  with Generative Adversarial Networks
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Yasin Almalioglu
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Andrew Markham
A. Trigoni
GAN
MDE
50
146
0
16 Sep 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
21
1,136
0
06 Mar 2018
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Ruihao Li
Sen Wang
Zhiqiang Long
Dongbing Gu
MDE
40
511
0
20 Sep 2017
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based
  Visual Odometry Approach for Endoscopic Capsule Robots
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
Mehmet Turan
Yasin Almalioglu
Helder Araújo
E. Konukoglu
M. Sitti
20
124
0
22 Aug 2017
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State
  Estimator
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
Tong Qin
Peiliang Li
Shaojie Shen
40
3,308
0
13 Aug 2017
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
283
5,407
0
20 Oct 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
56
1,431
0
15 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
405
11,540
0
06 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
149
10,202
0
27 Mar 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
238
7,361
0
05 Jun 2015
Learning Depth from Single Monocular Images Using Deep Convolutional
  Neural Fields
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
MDE
75
1,196
0
26 Feb 2015
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
199
353
0
18 Nov 2014
1