Dr. Eleonóra Víg

Photo of Dr. Eleonóra  Víg


German Aerospace Center (DLR)
Remote Sensing Technology Institute
Photogrammetry and Image Analysis
Oberpfaffenhofen
82234 Weßling


Email:
Phone:
+49 8153 28-2316
Fax:
+49 8153 28-1444

Research interests

Computer Vision and Human Vision

 

Curriculum vitae

October 2013 - present: Research Scientist in the Computer Vision Group, Xerox Research Centre Europe, France

September 2011 - August 2013: Postdoctoral Research Fellow with David Cox at the Rowland Institute at Harvard and the Center for Brain Science, Harvard University, USA DAAD postdoc grant: Saliency and attentional modelling for bio-inspired computer vision systems

January 2007 - August 2011: Research Assistant at the Institute for Neuro- and Bioinformatics, University of Lübeck, Germany - The GazeCom Project: Gaze-based Communication

October 2001 - July 2006: Student of Computer Science at the Babeș-Bolyai University, Romania. Graduated with a M.Sc. degree in Intelligent Systems.

 

Links

Demo material to Vig et al., Intrinsic dimensionality predicts the saliency of dynamic natural scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(6):1080-1091, 2012

http://webmail.inb.uni-luebeck.de/inb-toolsdemos/Saliency.html

 

Google Scholar profile

http://scholar.google.fr/citations?user=4aXIZXkAAAAJ&hl=en

Publikationen

2013

  • Dorr, M., Vig, E., and Barth, E.: Efficient image representations and features: Human Vision and Electronic Imaging XVIII, vol. 8651, Rogowitz, B. E. and Ridder, T. N. P. H. d. (Ed.), , 2013
    BibTeX PDF

2012

  • Dorr, M., Vig, E., and Barth, E.: Colour saliency on video: BIONETICS 2010, vol. 87, Suzuki, J. and Nakano, T. (Ed.), Springer, pp. 601-606, 2012
    BibTeX PDF
  • Dorr, M., Vig, E., and Barth, E.: Eye movement prediction and variability on natural video data sets: Visual Cognition, vol. 20, no. 4/5, pp. 495-514, 2012
    BibTeX PDF
  • Vig, E., Dorr, M., and Barth, E.: Contribution of Spatio-Temporal Intensity Variation to Bottom-up Saliency: BIONETICS 2010, vol. 87, Suzuki, J. and Nakano, T. (Ed.), Springer, pp. 469-474, 2012
    BibTeX PDF
  • Vig, E., Dorr, M., Martinetz, T., and Barth, E.: Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 6, IEEE, pp. 1080-1091, 2012
    BibTeX PDF

2011

  • Vig, E., Dorr, M., and Barth, E.: Learned saliency transformations for gaze guidance: Human Vision and Electronic Imaging XVI, vol. 7865, Rogowitz, B. E. and Pappas, T. N. (Ed.), SPIE-IS&T, pp. W1-11, 2011
    BibTeX PDF
  • Vig, E., Dorr, M., Martinetz, T., and Barth, E.: Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes: Cognitive Computation, vol. 3, no. 1, Springer New York, pp. 79-88, 2011
    BibTeX Website PDF

2010

  • Barth, E., Dorr, M., Vig, E., Pomarjanschi, L., and Mota, C.: Efficient coding and multiple motions: Vision Research, vol. 50, no. 22, pp. 2190-2199, 2010
    BibTeX PDF
  • Vig, E., Dorr, M., Martinetz, T., and Barth, E.: A Learned Saliency Predictor for Dynamic Natural Scenes: ICANN 2010, Part III, vol. 6354, Diamantaras, K., Duch, W., and Iliadis, L. S. (Ed.), Springer, Thessaloniki, Greece, pp. 52-61, 2010
    BibTeX PDF

2009

  • Vig, E., Dorr, M., and Barth, E.: Efficient visual coding and the predictability of eye movements on natural movies: Spatial Vision, vol. 22, no. 5, pp. 397-408, 2009
    BibTeX PDF

2008

  • Dorr, M., Vig, E., Gegenfurtner, K. R., Martinetz, T., and Barth, E.: Eye movement modelling and gaze guidance: Fourth International Workshop on Human-Computer Conversation, 2008
    BibTeX PDF