Workshop Title: Integrating Image Processing with Large Scale Models for Advanced Visual Understanding
Web: https://carai.kaist.ac.kr/lvlm
Workshop Abstract:
This workshop aims to bridge the gap between conventional image processing techniques and the latest advancements in large-scale models. In recent years, the integration of large-scale models into image processing tasks have shown significant promise in improving visual object understanding and image classification. This workshop will provide a platform for researchers and practitioners to explore the synergies between conventional image processing methods and cutting-edge large-scale models, fostering innovation and collaboration in the field
Objectives:
1. Explore the foundations of image processing techniques with large-scale models.
2. Investigate the current landscape of large-scale language/vision models and their capabilities.
3. Discuss challenges and opportunities in integrating large-scale models with image processing for enhanced visual understanding.
4. Showcase practical examples where the combined approach has yielded superior results.
Submission:
We encourage submissions of up to 4 pages, excluding references and acknowledgements. The submission should be in the ICIP format. Accepted papers will be published in ICIP proceedings and IEEE Explore.
Submission URL: https://cmsworkshops.com/ICIP2024/papers/submission.asp?Type=WS&ID=8
Important Dates:
Paper Submission Deadline: May 9, 2024
Paper Acceptance Notification: June 6, 2024
Final Submission Deadline: June 19, 2024
Author Registration Deadline: July 11, 2024
