Jochen Abhau - researchr alias

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Viewing Publication 1 - 10 from 10

2022

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference LatencyFrank M. Hafner, Matthias Zeller, Mark Schutera, Jochen Abhau, Julian F. P. Kooij. ivs 2022: 1801-1809 [doi]

2021

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgettingMark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl. ivc, 106:104079, 2021. [doi]

Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by NightMark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl. tiv, 6(3):480-489, 2021. [doi]

2019

Strategies for supplementing recurrent neural network training for spatio-temporal predictionMark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl. at, 67(7):545-556, 2019. [doi]

Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-IdentificationMark Schutera, Frank M. Hafner, Hendrik Vogt, Jochen Abhau, Markus Reischl. avss 2019: 1-6 [doi]

2012

A numerical study of adaptive space and time discretisations for Gross-Pitaevskii equationsMechthild Thalhammer, Jochen Abhau. jcphy, 231(20):6665-6681, 2012. [doi]

2010

A Combinatorial Method for Topology Adaptations in 3D Deformable ModelsJochen Abhau, Otmar Scherzer. ijcv, 87(3):304-315, 2010. [doi]

2009

On a Decomposition Model for Optical FlowJochen Abhau, Zakaria Belhachmi, Otmar Scherzer. emmcvpr 2009: 126-139 [doi]

2008

A Robust and Efficient Method for Topology Adaptations in Deformable ModelsJochen Abhau. visapp 2008: 375-382

An efficient topology adaptation system for parametric active contour segmentation of 3D imagesJochen Abhau, Otmar Scherzer. miip 2008: [doi]

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