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 oliveira@informatik.uni-freiburg.de 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

Datasets

• 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 ]