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ORCIDBenjamin Ummenhofer
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2020 – today
- 2024
[c14]Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros:
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 3DV 2024: 137-147- [c13]Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner:
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. ECCV (9) 2024: 173-191 - [i7]Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros:
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. CoRR abs/2401.09126 (2024) - [i6]Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner:
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. CoRR abs/2403.19319 (2024) - 2022
- [c12]Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney:
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. CVPR 2022: 1226-1235 - [c11]Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey:
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS 2022 - [i5]Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey:
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR abs/2210.06036 (2022) - 2021
- [c10]Benjamin Ummenhofer, Vladlen Koltun:
Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. ICCV 2021: 5631-5640 - [i4]Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney:
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion. CoRR abs/2111.08434 (2021) - 2020
- [j2]Huizhong Zhou
, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks. Int. J. Comput. Vis. 128(3): 756-769 (2020) - [c9]Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun:
Lagrangian Fluid Simulation with Continuous Convolutions. ICLR 2020
2010 – 2019
- 2019
- [c8]José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera:
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. CVPR 2019: 11826-11835 - [i3]José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera:
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. CoRR abs/1904.02028 (2019) - 2018
- [b1]Benjamin Ummenhofer:
Introduction to dense reconstruction from multiple images. University of Freiburg, Freiburg im Breisgau, Germany, 2018 - [c7]Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
Temporally Consistent Depth Estimation in Videos with Recurrent Architectures. ECCV Workshops (3) 2018: 689-701 - [c6]Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping. ECCV (16) 2018: 851-868 - [i2]Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox:
DeepTAM: Deep Tracking and Mapping. CoRR abs/1808.01900 (2018) - 2017
- [j1]Benjamin Ummenhofer, Thomas Brox:
Global, Dense Multiscale Reconstruction for a Billion Points. Int. J. Comput. Vis. 125(1-3): 82-94 (2017) - [c5]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR 2017: 5622-5631 - 2016
- [i1]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR abs/1612.02401 (2016) - 2015
- [c4]Benjamin Ummenhofer, Thomas Brox:
Global, Dense Multiscale Reconstruction for a Billion Points. ICCV 2015: 1341-1349 - 2013
- [c3]Benjamin Ummenhofer, Thomas Brox:
Point-Based 3D Reconstruction of Thin Objects. ICCV 2013: 969-976 - 2012
- [c2]Benjamin Ummenhofer, Thomas Brox:
Dense 3D Reconstruction with a Hand-Held Camera. DAGM/OAGM Symposium 2012: 103-112 - 2011
- [c1]Benjamin Ummenhofer:
Large Displacement Optical Flow for Volumetric Image Sequences. DAGM-Symposium 2011: 432-437
Coauthor Index
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