Chair for Machine Learning & Computer Vision

  1. University
  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Computer Science
  5. Chairs and Professors
  6. Machine Learning & Computer Vision
  7. Team
  8. Philipp Harzig

Philipp Harzig

Research Assistant & PhD Student
Chair for Machine Learning & Computer Vision
Phone: +49 (821) 598 4334
Email:
Room: 1024 (N)
Visiting hours: By appointment
Address: Universitätsstraße 6a, 86159 Augsburg

Research Interests

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

Projects

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

      

Publications

Philipp Harzig
2020 | 2019 | 2018 | 2016

2020

Stephan Brehm, Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2020. Learning segmentation from object color. In Jia Li and Shuyuan Zhu (Ed.). 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 6-8 August 2020, Shenzhen, Guangdong, China. IEEE, Piscataway, NJ, 139-144. DOI: 10.1109/mipr49039.2020.00036
PDF | BibTeX | RIS | DOI

Philipp Harzig, Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2020. Transforming Videos to Text (VTT Task) Team: MMCUniAugsburg. In TREC Video Retrieval Evaluation (TRECVID) 2020, virtual, 8-11 December 2020.
PDF | BibTeX | RIS | URL

2019

Philipp Harzig, Yan-Ying Chen, Francine Chen and Rainer Lienhart. 2019. Addressing data bias problems for chest x-ray image report generation. In 30th British Machine Vision Conference, 9 - 12 September 2019, Cardiff, UK.
PDF | BibTeX | RIS | URL

Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2019. Automatic disease detection and report generation for gastrointestinal tract examinations. In Laurent Amsaleg, Benoit Huet, Martha Larson, Guillaume Gravier, Hayley Hung, Chong-Wah Ngo and Wei Tsang Ooi (Ed.). MM '19: The 27th ACM International Conference on Multimedia, Nice, France, October, 2019. ACM Press, New York, NY, 2573-2577. DOI: 10.1145/3343031.3356066
PDF | BibTeX | RIS | DOI

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. In IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 28 - 30 March 2019, San Jose, CA, USA. IEEE, Piscataway, NJ, 419-424. 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. In IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 10-12 April 2018, Miami, FL, USA. IEEE, Piscataway, NJ, 158-161. DOI: 10.1109/mipr.2018.00035
PDF | BibTeX | RIS | DOI

Philipp Harzig, Christian Eggert and Rainer Lienhart. 2018. Visual question answering with a hybrid convolution recurrent model. In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval - ICMR '18, June 11 - 14, 2018, Yokohama, Japan. ACM Press, New York, USA, 318-325. DOI: 10.1145/3206025.3206054
PDF | BibTeX | RIS | DOI

2016

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

Master Thesis

Philipp Harzig.

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

Teaching

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