Log in
TUM Wiki
TUM Wiki
Spaces
Create
Hit enter to search
Announcement Banner
Help
Online Help
Keyboard Shortcuts
Feed Builder
What’s new
Available Gadgets
About Confluence
Log in
GDLMA: Graph Deep Learning for Medical Applications
Technische Universität München
GDLMA: Graph Deep Learning for Medical Applications
Browse pages
Configure
Space tools
Pages
search
attachments
weblink
advanced
Overview
Content Tools
Recently Updated
15. Decoupling Object Detection from Human-Object Interaction Recognition*
11.August 2022
•
updated by
Xinyu Chen
•
view change
Presentation: SoSe 2022
07.August 2022
•
updated by
Malika Sanhinova
•
view change
Presentation: SoSe 2022
26.July 2022
•
updated by
Caghan Koksal
•
view change
17. Target Adaptive Context Aggregation for Video Scene Graph Generation
26.July 2022
•
updated by
Haichuan Li
•
view change
Presentation: SoSe 2022
26.July 2022
•
updated by
Haichuan Li
•
view change
20. Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
12.July 2022
•
updated by
Chengzhi Shen
•
view change
Presentation: SoSe 2022
12.July 2022
•
updated by
Chengzhi Shen
•
view change
Presentation: SoSe 2022
05.July 2022
•
updated by
Priyank Upadhya
•
view change
16. Spatial-Temporal Transformer for Dynamic Scene Graph Generation
04.July 2022
•
updated by
Caghan Koksal
•
view change
Presentation: SoSe 2022
29.June 2022
•
updated by
Xinyu Chen
•
view change
19. Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
29.June 2022
•
updated by
Yuhan Li
•
view change
13. Neural Trees for Learning on Graphs
28.June 2022
•
updated by
Niklas Vest
•
view change
Presentation: SoSe 2022
27.June 2022
•
updated by
Niklas Vest
•
view change
14. RelTR: Relation Transformer for Scene Graph Generation
25.June 2022
•
updated by
Priyank Upadhya
•
view change
15. Decoupling Object Detection from Human-Object Interaction Recognition*
24.June 2022
•
updated by
Tobias Czempiel
•
view change
Show More
Tree browser
Browse and reorder all pages
{"serverDuration": 97, "requestCorrelationId": "658c871d92b54b5a"}