Erik Sandström

According to our database, Erik Sandström authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Erik Sandström, Ganlin Zhang, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald, Federico Tombari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

LoopSplat: Loop Closure by Registering 3D Gaussian Splats.

Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni

Proceedings of the International Conference on 3D Vision, 2025

2024

Dense Visual Mapping and Tracking using Depth and Monocular Cameras.

Erik Sandström

PhD thesis, 2024

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

Albert Gassol Puigjaner, Edoardo Mello Rella, Erik Sandström, Ajad Chhatkuli, Luc Van Gool

CoRR, 2024

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

Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari

CoRR, 2024

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

Ganlin Zhang, Erik Sandström, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald

CoRR, 2024

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

Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi

CoRR, 2024

Loopy-SLAM: Dense Neural SLAM with Loop Closures.

Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM.

Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Point-SLAM: Dense Neural Point Cloud-based SLAM.

Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald

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.

Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool

IEEE Robotics Autom. Lett., 2022

Learning Online Multi-sensor Depth Fusion.

Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

OOWL500: Overcoming Dataset Collection Bias in the Wild.

Brandon Leung, Chih-Hui Ho, Amir Persekian, David Orozco, Yen Chang, Erik Sandström, Bo Liu, Nuno Vasconcelos

CoRR, 2021

2019

The P-model: An indicator that accounts for field adjusted production as well as field normalized citation impact.

Erik Sandström, Ulf Sandström, Peter van den Besselaar

Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks.

Chih-Hui Ho, Brandon Leung, Erik Sandström, Yen Chang, Nuno Vasconcelos

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.

Timo Koski, Erik Sandström, Ulf Sandström

J. Informetrics, 2016