Event-based Non-Rigid Reconstruction from Contours (bibtex)

by Y Xue, H Li, S Leutenegger and J Stückler

Reference:

Event-based Non-Rigid Reconstruction from Contours (Y Xue, H Li, S Leutenegger and J Stückler), In British Machine Vision Conference (BMVC), 2023.

Bibtex Entry:

@inproceedings{United Kingdom,
 author = {Y Xue and H Li and S Leutenegger and J Stückler},
 title = {Event-based Non-Rigid Reconstruction from Contours},
 booktitle = {British Machine Vision Conference (BMVC)},
 address = {London, United Kingdom,
  year      = 2022,
  month     = October,
  pdf       = https://arxiv.org/pdf/2210.06270.pdf,
},

@inproceedings{papatheodorou2023icra,
  author    = {Sotiris Papatheodorou and Nils Funk and Dimos Tzoumanikas and Christopher Choi and Binbin Xu and Stefan Leutenegger},
  title     = {Finding Things in the Unknown: Semantic Object-Centric Exploration with an MAV},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  address   = {London, United Kingdom},
  year      = {2023},
  month     = {May},
  pdf       = {https://arxiv.org/pdf/2302.14569},
  note      = {{[video]}}
},

@InProceedings{penzkofer2023,
  author    = AnnaPenzkoferandSimonSchaeferandFlorianStrohmandMihaiBâceandStefanLeuteneggerandAndreasBulling,
  title     = Int-HRL:TowardsIntention-basedHierarchicalReinforcementLearning,
  booktitle = InternationalConferenceonAutonomousAgentsandMultiagentSystems(AMASS)-AdaptiveandLearningAgentsWorkshop,
  address   = London},
 year = {2023},
 month = {May},
 pdf = {https://arxiv.org/abs/2306.11483},
}

by Y Xue, H Li, S Leutenegger and J Stückler

Reference:

Event-based Non-Rigid Reconstruction from Contours (Y Xue, H Li, S Leutenegger and J Stückler), In British Machine Vision Conference (BMVC), 2023.

Bibtex Entry:

@inproceedings{United Kingdom,
 author = {Y Xue and H Li and S Leutenegger and J Stückler},
 title = {Event-based Non-Rigid Reconstruction from Contours},
 booktitle = {British Machine Vision Conference (BMVC)},
 address = {London, United Kingdom,
  year      = 2022,
  month     = October,
  pdf       = https://arxiv.org/pdf/2210.06270.pdf,
},

@inproceedings{papatheodorou2023icra,
  author    = {Sotiris Papatheodorou and Nils Funk and Dimos Tzoumanikas and Christopher Choi and Binbin Xu and Stefan Leutenegger},
  title     = {Finding Things in the Unknown: Semantic Object-Centric Exploration with an MAV},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  address   = {London, United Kingdom},
  year      = {2023},
  month     = {May},
  pdf       = {https://arxiv.org/pdf/2302.14569},
  note      = {{[video]}}
},

@InProceedings{penzkofer2023,
  author    = AnnaPenzkoferandSimonSchaeferandFlorianStrohmandMihaiBâceandStefanLeuteneggerandAndreasBulling,
  title     = Int-HRL:TowardsIntention-basedHierarchicalReinforcementLearning,
  booktitle = InternationalConferenceonAutonomousAgentsandMultiagentSystems(AMASS)-AdaptiveandLearningAgentsWorkshop,
  address   = London},
 year = {2023},
 month = {May},
 pdf = {https://arxiv.org/abs/2306.11483},
}

Hanzhi Chen

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Office: 03.09.041
Mail: Hanzhi.Chen@tum.de

Personal Website | Google Scholar | LinkedIn | GitHub

😎 Brief Bio

I am a PhD student in the Smart Robotics Lab of Technical University of Munich with Prof. Stefan Leutenegger. Previously, I received my M.Sc. degree in Robotics, Cognition, Intelligence with high distinction from Technical University of Munich.

🤖 Research Interest

Object-Centric Perception (to understand objects' geometry, concepts, affordance, and more)
Neural Scene Representations (to facilitate object-centric perception)
Few-Shot Imitation Learning (to connect embodiments' learning through object-centric representations)

🤓 Student Projects

I am always happy to work with cool folks with passion and talents. You can check my previous research works to see if there is a match between us. If you want to work with me, shoot me an email with your up-to-date transcript, résumé, and a brief comment about what research topic really interests you! This paper collection about neural fields for robotics might be helpful for you as a starting point to get inspired :)

Please refrain from inquiring me about supervision for external thesis by non-academic institutions or bachelor thesis, thank you!