Philipp Harzig

Wissenschaftlicher Mitarbeiter
Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen
Telefon: +49 (821) 598 4334
E-Mail:
Raum: 1024 (N)
Sprechzeiten: Nach Vereinbarung
Adresse: Universitätsstraße 6a, 86159 Augsburg

Forschungsinteressen

  • Computer Vision
  • Machine Learning
  • Visual Question Answering
  • Image Captioning
  • Deep Convolutional Neural Networks
  • Recurrent Neural Networks
  • Machine Learning Optimization

Projekte

  • Automatic Image Captioning of Scenes Depicting Branded Products
  • Company Logo Detection

      

Publikationen

Philipp Harzig
2020 | 2019 | 2018 | 2016

2020

Stephan Brehm, Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2020. Learning segmentation from object color. DOI: 10.1109/mipr49039.2020.00036
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Philipp Harzig, Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2020. Transforming Videos to Text (VTT Task) Team: MMCUniAugsburg.
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2019

Philipp Harzig, Yan-Ying Chen, Francine Chen and Rainer Lienhart. 2019. Addressing data bias problems for chest x-ray image report generation.
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Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2019. Automatic disease detection and report generation for gastrointestinal tract examinations. DOI: 10.1145/3343031.3356066
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Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser and René Schallner. 2019. Image captioning with clause-focused metrics in a multi-modal setting for marketing. DOI: 10.1109/MIPR.2019.00085
PDF | BibTeX | RIS | DOI

2018

Philipp Harzig, Stephan Brehm, Rainer Lienhart, Carolin Kaiser and Rene Schallner. 2018. Multimodal image captioning for marketing analysis. DOI: 10.1109/mipr.2018.00035
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Philipp Harzig, Christian Eggert and Rainer Lienhart. 2018. Visual question answering with a hybrid convolution recurrent model. DOI: 10.1145/3206025.3206054
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2016

Philipp Harzig. 2016. Implementation of frequency domain convolution for the caffe-framework.
PDF | BibTeX | RIS | URL

Masterarbeit

Philipp Harzig.

Implementation of Frequency Domain Convolution for the Caffe-Framework.
Master Thesis, February 2016.

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