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Johanna Wald
Johanna Wald
Technical University of Munich
Verified email at google.com
Title
Cited by
Cited by
Year
Fully-convolutional point networks for large-scale point clouds
D Rethage, J Wald, J Sturm, N Navab, F Tombari
Proceedings of the European Conference on Computer Vision (ECCV), 596-611, 2018
1922018
Learning 3d semantic scene graphs from 3d indoor reconstructions
J Wald, H Dhamo, N Navab, F Tombari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1112020
Scenegraphfusion: Incremental 3d scene graph prediction from rgb-d sequences
SC Wu, J Wald, K Tateno, N Navab, F Tombari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
712021
Rio: 3d object instance re-localization in changing indoor environments
J Wald, A Avetisyan, N Navab, F Tombari, M Nießner
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
702019
Real-time fully incremental scene understanding on mobile platforms
J Wald, K Tateno, J Sturm, N Navab, F Tombari
IEEE Robotics and Automation Letters 3 (4), 3402-3409, 2018
332018
Beyond controlled environments: 3d camera re-localization in changing indoor scenes
J Wald, T Sattler, S Golodetz, T Cavallari, F Tombari
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
322020
Learning 3d semantic scene graphs with instance embeddings
J Wald, N Navab, F Tombari
International Journal of Computer Vision 130 (3), 630-651, 2022
82022
From 2d to 3d: Re-thinking benchmarking of monocular depth prediction
EP Örnek, S Mudgal, J Wald, Y Wang, N Navab, F Tombari
arXiv preprint arXiv:2203.08122, 2022
32022
Towards long-term retrieval-based visual localization in indoor environments with changes
J Kabalar, SC Wu, J Wald, K Tateno, N Navab, F Tombari
IEEE Robotics and Automation Letters 8 (4), 1975-1982, 2023
12023
From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction
E Pınar Örnek, S Mudgal, J Wald, Y Wang, N Navab, F Tombari
arXiv e-prints, arXiv: 2203.08122, 2022
2022
3D Scene Understanding of Static and Dynamic Indoor Environments
J Wald
Technische Universität München, 2022
2022
Supplemental Material RIO: 3D Object Instance Re-Localization in Changing Indoor Environments
J Wald, A Avetisyan, N Navab, F Tombari, M Nießner
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Articles 1–12