Dipl.-Inf. Katharina Schwarz

EMailK. Schwarz
Phone+49 (0)7071 / 29-78991
AddressDepartment of Computer Science
Computer Graphics
Sand 14
72076 Tübingen, Germany
RoomC 430

Research Interests

  • Automatic visualization of texts using visual sources
  • Image retrieval combined with methods of Natural Language Processing
  • Semantic relatedness based on efficiently processing large photo collections enriched with textual information

Publications

Will People Like Your Image? Learning the Aesthetic Space.

Katharina Schwarz, Patrick Wieschollek, Hendrik P. A. Lensch.

WACV 2018.

[Paper] [Bibtex] [Code] [Project Page]

Stereo-consistent Contours in Object Space.

Dennis R. Bukenberger, Katharina Schwarz, Hendrik P. A. Lensch.

CGF 2017, DOI: 10.1111/cgf.13291

[Paper] [Bibtex] [Project Page]

EmoTune - Changing Emotional Response to Images.

Katharina Schwarz, Christian Fuchs, Manuel Finckh, Hendrik P. A. Lensch.

CIC Color and Imaging Conference 2017 (oral).

Best Student Paper Award.

[Paper] [Bibtex] [Project Page]

Auto-Illustrating Poems and Songs with Style.

Katharina Schwarz, Tamara L. Berg, Hendrik P. A. Lensch.

ACCV 2016 (oral), pp. 87-103.

[Paper] [Bibtex] [Project Page]

 

Rotoscoping on Stereoscopic Images and Videos.

Dennis R. Bukenberger, Katharina Schwarz, Fabian Groh, Hendrik P. A. Lensch.

VMV 2015, pp. 111-118.

[Paper] [Bibtex] [Project Page]

An Efficient Parallel Strategy for Matching Visual Self-Similarities in Large Image Databases.

Katharina Schwarz, Tobias Häußler, Hendrik P. A. Lensch.

ECCV 2012 Ws, pp. 281-290.

[Paper] [Bibtex]

AVDT - Automatic Visualization of Descriptive Texts.

Christian Spika, Katharina Schwarz, Holger Dammertz, Hendrik P. A. Lensch.

Proceedings of VMV 2011, pp. 129-136.

[Paper] [Bibtex]

Text-to-Video: Story Illustration from Online Photo Collections.

Katharina Schwarz, Pavel Rojtberg, Joachim Caspar, Iryna Gurevych, Michael Goesele, Hendrik P. A. Lensch.

Proceedings of KES 2010, pp. 402-409.

Best Paper Award.

[Paper] [Bibtex]

Disclaimer

This site contains pdf files of articles that are covered by copyright. You may browse the articles at your convenience (in the same spirit as you may read a journal or conference proceedings in a public library). Retrieving, copying, distributing these files, entirely or in parts, may violate copyright protection laws.