Benjamin Ummenhofer

According to our database, Benjamin Ummenhofer authored at least 17 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation.

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner

CoRR, 2024

Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting.

Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros

CoRR, 2024

2022

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics.

Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation.

Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion.

Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney

CoRR, 2021

Adaptive Surface Reconstruction with Multiscale Convolutional Kernels.

Benjamin Ummenhofer, Vladlen Koltun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks.

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

Int. J. Comput. Vis., 2020

Lagrangian Fluid Simulation with Continuous Convolutions.

Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth.

José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Introduction to dense reconstruction from multiple images.

Benjamin Ummenhofer

PhD thesis, 2018

DeepTAM: Deep Tracking and Mapping.

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

Proceedings of the Computer Vision - ECCV 2018, 2018

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures.

Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Global, Dense Multiscale Reconstruction for a Billion Points.

Benjamin Ummenhofer, Thomas Brox

Int. J. Comput. Vis., 2017

DeMoN: Depth and Motion Network for Learning Monocular Stereo.

Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2013

Point-Based 3D Reconstruction of Thin Objects.

Benjamin Ummenhofer, Thomas Brox

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Dense 3D Reconstruction with a Hand-Held Camera.

Benjamin Ummenhofer, Thomas Brox

Proceedings of the Pattern Recognition, 2012

2011

Large Displacement Optical Flow for Volumetric Image Sequences.

Benjamin Ummenhofer

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011