- Info
Seminar Robot Perception For Navigation - WS 2022/23
Seminar Robot Perception for Navigation
Requirements & Information
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Organizer:
Dr. Tim Welschehold
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Co-Organizers:
Johannes Meyer,
Adriana Gomez,
Jannik Zürn,
Kürsat Petek,
Chenguang Huang
Shengshao Yan
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The first meeting will take place on Monday, October 17th 2022 at 15:00-16:00
in an online zoom meeting link
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We had to re-create the seminar in HISinOne due to the problems with the different exam regulations (Pruefungsordnungen). You can find the seminar here (HisInOne-ID: 11LE13S-7307-MB)
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Students are requested to:
- Write a two-page abstract (prior to the talk) of the assigned paper.
- Prepare a talk of 20 minutes.
- Write a finalized three-page abstract
, in which they additionally discuss connections from their paper to others presentend in the seminar.
Everything is supposed to be done in English.
The two-page summary is due on Wednesday, December 14th, 2022.
The Seminar will be held as a "Blockseminar" in the end of the Semester. The slides should be discussed with the supervisor two weeks before the presentation.
The Presentations will take place on TBA.
The final-report is due two weeks after the presentation and should be 3 pages long at maximum (latex, a4wide, 11pt) not counting the bibliography and figures. Significantly longer summaries will not be accepted.
A LaTeX template can be downloaded here.
Update (2022-10-25):After you have been assigned to the seminar. Please send us your paper priorities.
- For each paper 1..n assign the paper a priority 1..n with 1 being the highest priority and n being the lowest.
- Use the following format when sending in your priorities: ["YOURNAME", priority_paper_1, priority_paper_2, ..., priority_paper_13]. if you only want to rank 4 papers, just assign priority 13 to all the other papers.
- Send E-Mail with your paper priority to
robot-perception-navigation@cs.uni-freiburg.de
- Example: Your favorite papers are 5, 3, 2, and 8. Please send us ["YOURNAME", 13, 3, 2, 13, 1, 13, 13, 4, 13, 13, 13, 13, 13]
Slides
List of Seminar Topics:
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SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination
- Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles
- Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
- CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
- Semantic Segmentation for Thermal Images: A Comparative Survey
- Lane-Level Street Map Extraction from Aerial Imagery
- Objects that Sound
- Learning robust perceptive locomotion for quadrupedal robots in the wild
- Learning High-Speed Flight in the Wild
- BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
- Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
- Grounded Language-Image Pre-training
- Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
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