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

• 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

• Co-organizer, Seminar: Robot Learning 2021
• Co-organizer, Seminar: Robot Learning 2021
• Co-organizer, Proseminar: Robot Learning 2021
• Co-organizer, Seminar: Deep Learning for Autonomous Systems 2021
• Co-organizer, Seminar: Self-Supervised Learning 2020

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

• From Learning to Relearning Algorithmic Fairness for Deterring Biased Outcomes in Socially-Aware Robot Navigation (Robots4SocialGood)

Publications

Google scholar profile

2023

• Rohit Mohan, Kiran Kumaraswamy, Juana Valeria Hurtado, Kürsat Petek, Abhinav Valada,
  Panoptic Out-of-Distribution Segmentation
  Arvix BibTeX

  @article{mohan2023panoptic,
    title={Panoptic Out-of-Distribution Segmentation},
    author={Mohan, Rohit and Kumaraswamy, Kiran and Hurtado, Juana Valeria and Petek, K{\"u}rsat and Valada, Abhinav},
    journal={arXiv preprint arXiv:2310.11797},
    year={2023}
  }
      

2022

• Laura Londono, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada,
  Fairness and Bias in Robot Learning
  Arvix BibTeX

  @article{londono2022fairness,
    title={Fairness and Bias in Robot Learning},
    author={Londo{\~n}o, Laura and Hurtado, Juana Valeria and Hertz, Nora and Kellmeyer, Philipp and Voeneky, Silja and Valada, Abhinav},
    journal={arXiv preprint arXiv:2207.03444},
    year={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.
  Preprint Publisher page BibTeX

  @incollection{hurtado2022elsevier,
    title={Semantic Scene Segmentation for Robotics},
    author={Hurtado, Juana Valeria and Valada, Abhinav},
    title={Deep Learning for Robot Perception and Cognition},
    editor={Iosifidis, Alexandros and Tefas, Anastasios},
    pages={279-311},
    chapter={12},
    publisher={Elsevier},
    year={2022}
  }
      

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

  @article{fong2021panoptic,
    title={Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking},
    author={Fong, Whye Kit and Mohan, Rohit and Hurtado, Juana Valeria and Zhou, Lubing and Caesar, Holger and Beijbom, Oscar and Valada, Abhinav},
    journal={arXiv preprint arXiv:2109.03805},
    year={2021}
  }
      

• 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

  @inproceedings{valverde2021there,
    title={There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge},
    author={Valverde, Francisco Rivera and Hurtado, Juana Valeria and Valada, Abhinav},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    pages={11612--11621},
    year={2021}
  }
      

• 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

  @article{hurtado2021learning,
    title={From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation},
    author={Hurtado, Juana Valeria and Londo{\~n}o, Laura and Valada, Abhinav},
    journal={Frontiers in Robotics and AI},
    volume={8},
    pages={69},
    year={2021},
    publisher={Frontiers}
  }
      

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

  @article{hurtado2020mopt,
    title={MOPT: Multi-Object Panoptic Tracking},
    author={Hurtado, Juana Valeria and Mohan, Rohit and Valada, Abhinav},
    journal={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Scalability in Autonomous Driving},
    year={2020}
  }
      

Detailed Curriculum Vitae