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Michael Oechsle
Michael Oechsle
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Title
Cited by
Cited by
Year
Occupancy networks: Learning 3d reconstruction in function space
L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
25302019
Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
8522020
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
M Oechsle, S Peng, A Geiger
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
5422021
Texture fields: Learning texture representations in function space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2892019
Occupancy flow: 4d reconstruction by learning particle dynamics
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2662019
Learning implicit surface light fields
M Oechsle, M Niemeyer, C Reiser, L Mescheder, T Strauss, A Geiger
2020 International Conference on 3D Vision (3DV), 452-462, 2020
382020
Driven Brownian particle as a paradigm for a nonequilibrium heat bath: Effective temperature and cyclic work extraction
R Wulfert, M Oechsle, T Speck, U Seifert
Physical Review E 95 (5), 050103, 2017
172017
RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS
M Niemeyer, F Manhardt, MJ Rakotosaona, M Oechsle, D Duckworth, ...
arXiv preprint arXiv:2403.13806, 2024
2024
Augmentation and processing of radar data with machine learning
A Junginger, MJ Oechsle, T Strauss
US Patent 11,899,131, 2024
2024
Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities
T Strauss, M Oechsle, U Bauknecht
IEEE Access, 2024
2024
Synthetic generation of radar and lidar point clouds
A Junginger, M Lober, MJ Oechsle, T Strauss
US Patent App. 17/649,877, 2022
2022
Supplementary Material for Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics
M Niemeyer, L Mescheder, M Oechsle, A Geiger
Supplementary Material for Occupancy Networks: Learning 3D Reconstruction in Function Space
L Mescheder, M Oechsle, M Niemeyer, S Nowozin, A Geiger
Supplementary Material for Texture Fields: Learning Texture Representations in Function Space
M Oechsle, L Mescheder, M Niemeyer, T Strauss, A Geiger
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