Yasin Almalioglu
Orcid: 0000-0002-9251-7853
According to our database1,
Yasin Almalioglu
authored at least 26 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Medical Image Anal., 2025
2022
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
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
IEEE Trans. Medical Imaging, 2020
IEEE Robotics Autom. Lett., 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
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
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
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
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
CoRR, 2017