Erik Sandström

24 papers A* 3Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
How NeRFs and 3-D Gaussian Splatting Are Reshaping SLAM: A Survey.
IEEE Trans. Robotics
Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi
2025 — conf
LoopSplat: Loop Closure by Registering 3D Gaussian Splats.
3DV
Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni
2025 J jnl
ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos.
CoRR
Shi Chen, Erik Sandström, Sandro Lombardi, Siyuan Li, Martin R. Oswald
2025 — conf
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians.
CVPR Workshops
Erik Sandström, Ganlin Zhang, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald, Federico Tombari
2024 — —
Dense Visual Mapping and Tracking using Depth and Monocular Cameras.
Erik Sandström
2024 J jnl
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM.
CoRR
Ganlin Zhang, Erik Sandström, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald
2024 J jnl
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey.
CoRR
Fabio Tosi, Youmin Zhang, Ziren Gong, Erik Sandström, Stefano Mattoccia, Martin R. Oswald, Matteo Poggi
2024 J jnl
LoopSplat: Loop Closure by Registering 3D Gaussian Splats.
CoRR
Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni
2024 A* conf
Loopy-SLAM: Dense Neural SLAM with Loop Closures.
CVPR
Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald
2024 J jnl
Loopy-SLAM: Dense Neural SLAM with Loop Closures.
CoRR
Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald
2024 J jnl
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians.
CoRR
Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari
2024 J jnl
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction.
CoRR
Albert Gassol Puigjaner, Edoardo Mello Rella, Erik Sandström, Ajad Chhatkuli, Luc Van Gool
2023 A* conf
Point-SLAM: Dense Neural Point Cloud-based SLAM.
ICCV
Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald
2023 J jnl
Point-SLAM: Dense Neural Point Cloud-based SLAM.
CoRR
Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald
2023 — conf
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM.
ICCV (Workshops)
Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald
2023 J jnl
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM.
CoRR
Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald
2022 J jnl
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes.
IEEE Robotics Autom. Lett.
Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool
2022 J jnl
Learning Online Multi-Sensor Depth Fusion.
CoRR
Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
2022 — conf
Learning Online Multi-sensor Depth Fusion.
ECCV (32)
Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool
2021 J jnl
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes.
CoRR
Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool
2021 J jnl
OOWL500: Overcoming Dataset Collection Bias in the Wild.
CoRR
Brandon Leung, Chih-Hui Ho, Amir Persekian, David Orozco, Yen Chang, Erik Sandström, Bo Liu, Nuno Vasconcelos
2019 A* conf
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks.
CVPR
Chih-Hui Ho, Brandon Leung, Erik Sandström, Yen Chang, Nuno Vasconcelos
2019 — conf
The P-model: An indicator that accounts for field adjusted production as well as field normalized citation impact.
ISSI
Erik Sandström, Ulf Sandström, Peter van den Besselaar
2016 J jnl
Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution.
J. Informetrics
Timo Koski, Erik Sandström, Ulf Sandström