An efficient topology adaptation system for parametric active contour segmentation of 3D images. - Jochen Abhau; Otmar Scherzer (Image Processing, 2008)

A Robust and Efficient Method for Topology Adaptations in Deformable Models. - Jochen Abhau (VISAPP (1), 2008)

On a Decomposition Model for Optical Flow. - Jochen Abhau; Zakaria Belhachmi; Otmar Scherzer (EMMCVPR, 2009)

A Combinatorial Method for Topology Adaptations in 3D Deformable Models. - Jochen Abhau; Otmar Scherzer (Int. J. Comput. Vis., 2010)

A numerical study of adaptive space and time discretisations for Gross-Pitaevskii equations. - Mechthild Thalhammer; Jochen Abhau (J. Comput. Phys., 2012)

Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. - Mark Schutera; Frank M. Hafner; Hendrik Vogt; Jochen Abhau; Markus Reischl (AVSS, 2019)

Strategies for supplementing recurrent neural network training for spatio-temporal prediction. - Mark Schutera; Stefan Elser; Jochen Abhau; Ralf Mikut; Markus Reischl (Autom., 2019)

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. - Mark Schutera; Frank M. Hafner; Jochen Abhau; Veit Hagenmeyer; Ralf Mikut; Markus Reischl (Image Vis. Comput., 2021)

Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. - Mark Schutera; Mostafa Hussein; Jochen Abhau; Ralf Mikut; Markus Reischl (IEEE Trans. Intell. Veh., 2021)

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency. - Frank M. Hafner; Matthias Zeller; Mark Schutera; Jochen Abhau; Julian F. P. Kooij (IV, 2022)

AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions. - Benjamin Sick; Michael Walter; Jochen Abhau (CoRR, 2023)