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Erik sandström
Erik sandström
PhD Student ETH Zürich
Verified email at ee.ethz.ch
Title
Cited by
Cited by
Year
Point-slam: Dense neural point cloud-based slam
E Sandström, Y Li, L Van Gool, MR Oswald
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
162023
A real-time online learning framework for joint 3d reconstruction and semantic segmentation of indoor scenes
D Menini, S Kumar, MR Oswald, E Sandström, C Sminchisescu, ...
IEEE Robotics and Automation Letters 7 (2), 1332-1339, 2021
162021
Catastrophic child's play: Easy to perform, hard to defend adversarial attacks
CH Ho, B Leung, E Sandstrom, Y Chang, N Vasconcelos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
92019
Learning online multi-sensor depth fusion
E Sandström, MR Oswald, S Kumar, S Weder, F Yu, C Sminchisescu, ...
European Conference on Computer Vision, 87-105, 2022
42022
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM
E Sandström, K Ta, L Van Gool, MR Oswald
Workshop proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
22023
Oowl500: Overcoming dataset collection bias in the wild
B Leung, CH Ho, A Persekian, D Orozco, Y Chang, E Sandstrom, B Liu, ...
arXiv preprint arXiv:2108.10992, 2021
22021
How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey
F Tosi, Y Zhang, Z Gong, E Sandström, S Mattoccia, MR Oswald, M Poggi
arXiv preprint arXiv:2402.13255, 2024
2024
Loopy-SLAM: Dense Neural SLAM with Loop Closures
L Liso, E Sandström, V Yugay, L Van Gool, MR Oswald
arXiv preprint arXiv:2402.09944, 2024
2024
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