José Arce
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Ph.D. Student |
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| Postal address: |
Albert-Ludwigs-Universität Freiburg |
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| Office: | 080-01-022 | |
| Email: | arceyd@cs.uni-freiburg.de | |
About me
- 07/2022 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
- 10/2018 - 06/2022: M.Sc. in Computer Science with minor in Cognitive Technical Systems, University of Freiburg
- 08/2010 - 07/2011: Specialization in Robotics and Automation, Universidad Panamericana
- 08/2006 - 07/2010: B.E. in Mechatronics Engineering, Universidad Panamericana
Research Interests
- Robot Localization and Mapping
- Scene Understanding
- 3D Representations
- Manipulation
- Deep Learning
Current Research Projects
- iSUOR - Intelligent Scene Understanding for Operating Rooms
- OpenDR - Open Deep Learning Toolkit for Robotics
Teaching
- Supervisor, Robot Learning Seminar, University of Freiburg, SS22
- TA, Foundations of Deep Learning, University of Freiburg, WS23/24
- Supervisor, Deep Learning Lab, University of Freiburg, SS23
- Organizer and Supervisor, Learning with Limited Supervision Seminar, University of Freiburg, SS24
- TA, Machine Learning, University of Freiburg, WS24/25
Publications
2023
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R. Mohan,
J. Arce,
S. Mokhtar,
D. Cattaneo, and
A. Valada
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities
arXiv preprint arXiv:2308.03193, 2023.
arXiv Video Website BibTeX -
J. Arce,
N. Vödisch,
D. Cattaneo,
W. Burgard, and
A. Valada
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention
IEEE Robotics and Automation Letters (RA-L), vol. 8, issue 3, pp. 1319-1326, March 2023
arXiv IEEE Xplore Video Website BibTeX