Erik Sandström

Orcid: 0000-0002-2518-6935

According to our database1, Erik Sandström authored at least 15 papers between 2016 and 2024.

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

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dense Visual Mapping and Tracking using Depth and Monocular Cameras.
PhD thesis, 2024

LoopSplat: Loop Closure by Registering 3D Gaussian Splats.
CoRR, 2024

VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction.
CoRR, 2024

Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians.
CoRR, 2024

GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM.
CoRR, 2024

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey.
CoRR, 2024

Loopy-SLAM: Dense Neural SLAM with Loop Closures.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Point-SLAM: Dense Neural Point Cloud-based SLAM.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes.
IEEE Robotics Autom. Lett., 2022

Learning Online Multi-sensor Depth Fusion.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
OOWL500: Overcoming Dataset Collection Bias in the Wild.
CoRR, 2021

2019
The P-model: An indicator that accounts for field adjusted production as well as field normalized citation impact.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016
Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution.
J. Informetrics, 2016


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