2nd Workshop on
Scene Graphs and Graph Representation Learning (SG2RL)
Held in conjunction with CVPR 2024 in Seattle, WA, USA
Time: 17 June 2024, 08:30 - 12:00
Location: Summit 322
Overview
The workshop focuses on the topic of scene graphs and graph representation learning for visual perception applications in different domains. Through a series of keynote talks, the audience will learn about defining, generating and predicting scene graphs, as well as about employing them for other tasks. Oral presentations of accepted submissions to the workshop will further enrich discussed topics with state-of-the-art advancements and engage the community. The objective is for attendees to learn about current developments and application domains of scene graphs and graph representation learning, as well as to draw inspiration and identify commonalities across these domains. Furthermore, this workshop will create an opportunity to discuss limitations, challenges, and next steps from research, practical, and ethical perspectives.
Topics
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.
Important Dates and Details
The best paper award goes to "Segment Anything Model for Road Network Graph Extraction".
Paper submission deadline extended to 22 March, 23:59 PST.
Updates will be posted on Twitter via the workshop account.
Apply to be part of the Program Committee by: March 5th, 2024 using this link.
Paper submission deadline: 22 March 2024
Paper submission deadline: 10 March 2024
Submission through CMT: Link to submission
Workshop: 17 June 2024