Valentin Peretroukhin

Orcid: 0000-0002-0698-4755

According to our database1, Valentin Peretroukhin authored at least 22 papers between 2013 and 2022.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion.
IEEE Robotics Autom. Lett., 2022

Convex Iteration for Distance-Geometric Inverse Kinematics.
IEEE Robotics Autom. Lett., 2022

2021
Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks.
CoRR, 2021

Toward Robust and Efficient Online Adaptation for Deep Stereo Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty.
Proceedings of the Robotics: Science and Systems XVI, 2020

Self-Supervised Deep Pose Corrections for Robust Visual Odometry.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field].
IEEE Robotics Autom. Mag., 2019

Certifiably Globally Optimal Extrinsic Calibration From Per-Sensor Egomotion.
IEEE Robotics Autom. Lett., 2019

Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation.
CoRR, 2019

Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network.
CoRR, 2019

Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal Rotation Averaging.
CoRR, 2019

Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
DPC-Net: Deep Pose Correction for Visual Localization.
IEEE Robotics Autom. Lett., 2018

Inferring sun direction to improve visual odometry: A deep learning approach.
Int. J. Robotics Res., 2018

2017
Improving foot-mounted inertial navigation through real-time motion classification.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

Reducing drift in visual odometry by inferring sun direction using a Bayesian Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation.
Proceedings of the International Symposium on Experimental Robotics, 2016

PROBE-GK: Predictive robust estimation using generalized kernels.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
PROBE: Predictive robust estimation for visual-inertial navigation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

The Battle for Filter Supremacy: A Comparative Study of the Multi-State Constraint Kalman Filter and the Sliding Window Filter.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014
Optimizing Camera Perspective for Stereo Visual Odometry.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013
Towards Autonomous Mobile Robots for the Exploration of Steep Terrain.
Proceedings of the Field and Service Robotics, 2013


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