Yasin Almalioglu

Orcid: 0000-0002-9251-7853

According to our database1, Yasin Almalioglu authored at least 25 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Deep learning-based robust positioning for all-weather autonomous driving.
Nat. Mac. Intell., September, 2022

SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation.
Neural Networks, 2022

2021
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.
Medical Image Anal., 2021

VR-Caps: A Virtual Environment for Capsule Endoscopy.
Medical Image Anal., 2021

Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
EndoL2H: Deep Super-Resolution for Capsule Endoscopy.
IEEE Trans. Medical Imaging, 2020

DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination.
IEEE Robotics Autom. Lett., 2020

Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset.
CoRR, 2020

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion.
CoRR, 2020

EndoL2H: Deep Super-Resolution for Capsule Endoscopy.
CoRR, 2020

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019
Learning to Navigate Endoscopic Capsule Robots.
IEEE Robotics Autom. Lett., 2019

SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation.
CoRR, 2019

Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor.
CoRR, 2019

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

Distilling Knowledge From a Deep Pose Regressor Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots.
Neurocomputing, 2018

Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Magnetic- Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Endo-VMFuseNet: A Deep Visual-Magnetic Sensor Fusion Approach for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots.
Int. J. Intell. Robotics Appl., 2017

Endo-VMFuseNet: Deep Visual-Magnetic Sensor Fusion Approach for Uncalibrated, Unsynchronized and Asymmetric Endoscopic Capsule Robot Localization Data.
CoRR, 2017

A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots.
CoRR, 2017

A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots.
CoRR, 2017


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