Persönlicher Status und Werkzeuge

Dr. Laura Leal-Taixé

Sofia Kovalevskaya Award (AvH)

TUM Junior Fellow

socialMaps 

Fakultät

Informatik 

Wissenschaftliche Laufbahn und Forschungsgebiete

Dr.-Ing. Laura Leal-Taixé (b. 1984) conducts research in the area of Computer Vision and Machine Learning. In particular, she focuses on video analysis, solving tasks such as multiple object tracking, motion analysis or semantic segmentation. Allowing machines to automatically analyse video data is essential for applications such as Autonomous Driving.

During her doctoral studies, she focused on including social and multi-view information into optimization schemes for multiple pedestrian tracking. She later moved towards Machine Learning and how to better adapt learning algorithms such as neural networks to work on video streams.

In the project socialMaps, for which she has been granted a Sofja Kovalevskaja Award, she proposes to include dynamic and social information into static maps, so as to decouple vehicle traffic from pedestrian traffic.

Dr.-Ing. Laura Leal-Taixé was born in Barcelona where she pursued B.Sc. and M.Sc. in Telecommunications Engineering at the Technical University of Catalonia (UPC). She went to Boston, USA to do her Masters Thesis at Northeastern University with a fellowship from the Vodafone foundation. She worked on computer vision and image processing for medical images.

From 2009 until 2013, she worked towards her PhD degree at the Institute for Information Processing (TNT) of the Leibniz University of Hannover in Germany. She focused on topics such as multiple people tracking, object detection, pose estimation. She graduated in February 2014, presenting the thesis “Multiple people tracking with context awareness”.

During her PhD, she was at the University of Michigan, Ann Arbor, USA for one year as a visiting scholar with Prof. Silvio Savarese. She ithen spent two years as a postdoctoral researcher at the Institute for Geodesy and Photogrammetry at ETH Zürich, Switzerland, working on tracking and benchmarking.

In May 2016, she moved to Munich where she started working at the Computer Vision Group as a senior postdoctoral researcher.

She is currently a junior group leader after receiving a Sofja Kovalevskaja Award of 1.65 million euros for her project socialMaps.

Wichtigste Auszeichungen

  • Sofja Kovalevskaja Award, 1.65 million euros, Humboldt Foundation, 2017
  • DAAD Funding, Australia-German Joint Research Corporation Scheme, 2017
  • Travel grant awarded by the Women in Computer Vision Association at CVPR, 2016
  • Travel grant awarded for the Doctoral Consortium at CVPR, 2013
  • Vodafone scholarship to pursue the Master Thesis in the USA, 2008

 

 

Schlüsselpublikationen (alle Publikationen)

F. Walch, C. Hazirbas, L. Leal-Taixé, T. Sattler, S. Hilsenbeck and D. Cremers

Image-based localization using LSTMs for structured feature correlation

IEEE International Conference on Computer Vision (ICCV), 2017.

Abstract

M. Fenzi, L. Leal-Taixé, J. Ostermann and T. Tuytelaars

Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors

IEEE International Conference on Computer Vision (ICCV), 2015.

Abstract

A. Milan, L. Leal-Taixé, K. Schindler and I. Reid

Joint Tracking and Segmentation of Multiple Targets

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Abstract

L. Leal-Taixé, M. Fenzi, A. Kuznetsova, B. Rosenhahn and S. Savarese

Learning an image-based motion context for multiple people tracking

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

Abstract

L. Leal-Taixé, G. Pons-Moll and B. Rosenhahn

Branch-and-price global optimization for multi-view multi-target tracking

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. 

Abstract v