First ICCV 2023 Workshop on Scene Graphs and Graph Representation Learning (SG2RL)

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.

Join us at the SG2RL Workshop at ICCV 2023 in Paris

The MCML is proud to be sponsor of the 1st Workshop on Scene Graphs and Graph Representation Learning (SG2RL) at the 2023 International Conference on Computer Vision (ICCV 2023). The workshop will be a hybrid event, held in conjunction with ICCV 2023 on October, 2nd, Paris, France.

Call for papers

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.

If you are interested in being a reviewer at SG2RL, please apply through the following formula.

Deadlines and Important Dates

• Paper submission deadline: July 25th, 2023 (11:59 PM Anywhere on Earth)
  Submitted papers should not exceed 8 pages (excluding references).
• Notification to Authors: August 8th, 2023
• Camera-ready Deadline: August 19th, 2023
• Workshop: October 2, 2023

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.

The workshop is co-organized by our PI Nassir Navab and his team.