Christoph Angermann

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Depth Estimation

Top Venues

Mach. Vis. Appl.

Comput. Electr. Eng.

Eng. Appl. Artif. Intell.

Publications

Christoph Angermann, Simon Göppel, Markus Haltmeier
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction. CoRR (2023)
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34 (6) (2023)
Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Markus Haltmeier, Gerald Degenhart
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks. CoRR (2023)
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34 (5) (2023)
Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml
Surface topography characterization using a simple optical device and artificial neural networks. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. CoRR (2022)
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks. ECCV Workshops (8) (2022)
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks. CoRR (2022)
Christoph Angermann, Adéla Moravová, Markus Haltmeier, Steinbjörn Jónsson, Christian Laubichler
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs. CoRR (2021)
Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines. CoRR (2021)
Christoph Angermann, Markus Haltmeier
Deep structure learning using feature extraction in trained projection space. Comput. Electr. Eng. 92 (2021)
Christoph Angermann, Markus Haltmeier
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space. CoRR (2020)
Christoph Angermann, Markus Haltmeier
Random 2.5D U-net for Fully 3D Segmentation. MLMECH/CVII-STENT@MICCAI (2019)
Christoph Angermann, Markus Haltmeier
Random 2.5D U-net for Fully 3D Segmentation. CoRR (2019)
Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. CoRR (2019)