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Gabriel Leivas Oliveira

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office:   080-xx-xxx

Fax:   +49 761 203-8007

About me

  • 03/2005 - 12/2009: Bachelor o.Sc. in Computer Engineering, Federal University of Rio Grande
  • 03/2010 - 05/2012: Master o.Sc. in Computer Science, Federal University of Minas Gerais
  • 08/2012 - 09/2014: Master o.Sc. in Computer Science, University of Minnesota
  • 10/2014 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as Doctoral Research Assistant

Research Interests

  • Computer Vision
  • Robotics Perception


  • Human Part Segmentation Datasets Datasets
  • Range Segmentation Dataset Range

Recent Publications

  • G. Oliveira, N. Radwan, W. Burgard, and T. Brox.
    Topometric Localization with Deep Learning.. The International Symposium on Robotics Research (ISRR), 2017.
    .pdf ]
  • G. Oliveira, C. Bollen, W. Burgard, and T. Brox.
    Efficient and Robust Deep Networks for Semantic Segmentation.. The International Journal of Robotics Research (IJRR),, 2017.
    .pdf ]
  • T. Naseer, G. Oliveira, W. Burgard, and T. Brox.
    Semantics-aware Visual Localization under Challenging Perceptual Conditions. . IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017.
    .pdf ]
  • G. Oliveira, W. Burgard, and T. Brox.
    Efficient Deep Models for Monocular Road Segmentation. . IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon, Korea, 2016.
    .pdf ]
  • A. Valada, G. Oliveira, W. Burgard, and T. Brox.
    Deep Multispectral Semantic Scene Understanding of Forested Environments using Multimodal Fusion. . The 2016 International Symposium on Experimental Robotics (ISER 2016), Tokyo, Japan, October 2016.
    .pdf ]
  • G. Oliveira, A. Valada, C. Bollen, W. Burgard, and T. Brox.
    Deep Learning for Human Part Discovery in Images. IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016.
    .pdf ]
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