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Juana Valeria Hurtado

PhD Student
Postal address:

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Robot Learning Lab
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany

Office: 080-008
Email: hurtadoj@informatik.uni-freiburg.de

About me

  • 11/2019 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
  • 2018 - 2019: Data Scientist at Jam City
  • 2016 - 2018: Master of Engineering in Industrial Automation at the National University of Colombia.
    Master thesis:
    Brain connectivity-patterns representation based on electroencephalography network analysis
  • 2010 - 2014: Electronics engineering at the National University of Colombia

Research Interests

My research focuses on:
  • Self-Supervised Learning for Multimodal Perception
  • Human-Object Interaction Detection and Forecasting
  • Segmentation of Unseen Objects
  • Multitask Learning for Automated Driving
  • Fairness in Robotics

Teaching

Students Supervised

  • Self-Supervised Multimodal Object Detection and Tracking, Francisco Rivera, 2020, Master's Project
  • Scene Perception and Forecasting, Chengxin Wang, 2020, Master's Project

Current Research Projects

Publications

Google scholar profile

2022

  • Juana Valeria Hurtado, Abhinav Valada,
    Semantic Scene Segmentation for Robotics
    Deep Learning for Robot Perception and Cognition, chapter 12, pp. 279-311, Elsevier, 2022.
    Publisher page BibTeX

2021

  • Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada,
    Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking
    arXiv preprint arXiv:2109.03805, 2021.
    Download BibTeX
  • Juana Valeria Hurtado, Valentina Mejia,
    Feminist Perspective on Robot Learning Processes
    GENDERING ROBOTS: Ongoing (Re)configurations of Gender in Robotics, 2021.
    Download
  • Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada,
    There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
    Download BibTeX
  • Juana Valeria Hurtado, Laura Londoño, Abhinav Valada,
    From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation
    arXiv preprint arXiv:2101.02647, 2020.
    Download BibTeX

2020

  • Juana Valeria Hurtado, Rohit Mohan, Abhinav Valada,
    MOPT: Multi-Object Panoptic Tracking
    The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Scalability in Autonomous Driving, 2020.
    Download BibTeX

Detailed Curriculum Vitae