Jochen Abhau

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 6

Top Topics

Neural Network Training

Top Venues

IEEE Trans. Intell. Veh.

Publications

Benjamin Sick, Michael Walter, Jochen Abhau
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions. CoRR (2023)
Frank M. Hafner, Matthias Zeller, Mark Schutera, Jochen Abhau, Julian F. P. Kooij
BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency. IV (2022)
Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. Image Vis. Comput. 106 (2021)
Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl
Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. IEEE Trans. Intell. Veh. 6 (3) (2021)
Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl
Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. 67 (7) (2019)
Mark Schutera, Frank M. Hafner, Hendrik Vogt, Jochen Abhau, Markus Reischl
Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. AVSS (2019)
Mechthild Thalhammer, Jochen Abhau
A numerical study of adaptive space and time discretisations for Gross-Pitaevskii equations. J. Comput. Phys. 231 (20) (2012)
Jochen Abhau, Otmar Scherzer
A Combinatorial Method for Topology Adaptations in 3D Deformable Models. Int. J. Comput. Vis. 87 (3) (2010)
Jochen Abhau, Zakaria Belhachmi, Otmar Scherzer
On a Decomposition Model for Optical Flow. EMMCVPR (2009)
Jochen Abhau, Otmar Scherzer
An efficient topology adaptation system for parametric active contour segmentation of 3D images. Medical Imaging: Image Processing (2008)
Jochen Abhau
A Robust and Efficient Method for Topology Adaptations in Deformable Models. VISAPP (1) (2008)