Large Displacement Optical Flow for Volumetric Image Sequences. - Benjamin Ummenhofer (DAGM-Symposium, 2011)

Dense 3D Reconstruction with a Hand-Held Camera. - Benjamin Ummenhofer; Thomas Brox (DAGM/OAGM Symposium, 2012)

Point-Based 3D Reconstruction of Thin Objects. - Benjamin Ummenhofer; Thomas Brox (ICCV, 2013)

DeMoN: Depth and Motion Network for Learning Monocular Stereo. - Benjamin Ummenhofer; Huizhong Zhou; Jonas Uhrig; Nikolaus Mayer; Eddy Ilg; Alexey Dosovitskiy; Thomas Brox (CVPR, 2017)

Global, Dense Multiscale Reconstruction for a Billion Points. - Benjamin Ummenhofer; Thomas Brox (Int. J. Comput. Vis., 2017)

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures. - Denis Tananaev; Huizhong Zhou; Benjamin Ummenhofer; Thomas Brox (ECCV Workshops (3), 2018)

DeepTAM: Deep Tracking and Mapping. - Huizhong Zhou; Benjamin Ummenhofer; Thomas Brox (ECCV (16), 2018)

Introduction to dense reconstruction from multiple images. - Benjamin Ummenhofer (2018)

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. - José M. Fácil; Benjamin Ummenhofer; Huizhong Zhou; Luis Montesano; Thomas Brox; Javier Civera 001 (CVPR, 2019)

Lagrangian Fluid Simulation with Continuous Convolutions. - Benjamin Ummenhofer; Lukas Prantl; Nils Thuerey; Vladlen Koltun (ICLR, 2020)

DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks. - Huizhong Zhou; Benjamin Ummenhofer; Thomas Brox (Int. J. Comput. Vis., 2020)

Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. - Benjamin Ummenhofer; Vladlen Koltun (ICCV, 2021)

Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion. - Anirud Thyagharajan; Benjamin Ummenhofer; Prashant Laddha; Om Ji Omer; Sreenivas Subramoney (CoRR, 2021)

Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. - Anirud Thyagharajan; Benjamin Ummenhofer; Prashant Laddha; Om Ji Omer; Sreenivas Subramoney (CVPR, 2022)

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. - Lukas Prantl; Benjamin Ummenhofer; Vladlen Koltun; Nils Thuerey (NeurIPS, 2022)

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 (3DV, 2024)

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. - Yujin Chen; Yinyu Nie; Benjamin Ummenhofer; Reiner Birkl; Michael Paulitsch; Matthias Müller 011; Matthias Nießner (ECCV (9), 2024)

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors. - Yujin Chen; Yinyu Nie; Benjamin Ummenhofer; Reiner Birkl; Michael Paulitsch; Matthias Nießner (CoRR, 2025)