Connectionists: [CfP] First ICCV Workshop on Scene Graphs and Graph Representation Learning

[Azade Farshad]

The SG2RL ICCV 2023 workshop will be a hybrid event on October 2nd, 2023.

Authors are invited to submit full-length high-quality papers as well as
extended abstracts related to the topic of scene graphs and graph
representation learning.

Accepted full papers will be included in the ICCV Workshops proceedings. A
best paper award and two travel grants are sponsored by Munich Center for
Machine Learning (MCML).

Submission instructions are available on the SG2RL website:
https://sg2rl.github.io/

Deadlines and Important Dates:

- Paper submission deadline: *July 25th, 2023* (11:59 PM Anywhere on Earth)
- Notification to Authors: August 8th, 2023
- Camera-ready Deadline: August 19th, 2023


Workshop: October 2, 2023

Submitted papers should be within 8 pages (excluding references).

Topics include:

- Scene graph generation and prediction
- Graph representation learning
- Image generation and manipulation using scene graphs
- Evaluation metrics for scene graphs
- Common-sense graphs and knowledge graphs
- Applications of graph theory and scene graphs to: computer vision,
robotic perception, medical imaging, AR/VR, computer graphics, autonomous
driving, etc.


If you have questions, feel free to contact:
azade.farshad at tum.de

----------------------------------------------------------

Azade Farshad

Room number: 03.13.043

Technische Universität München

School of Computation, Information and Technology
Chair for Computer Aided Medical Procedures

azade.farshad at tum.de
http://campar.in.tum.de/Main/AzadeFarshad
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