Author Guidelines and To-Know

This workshop aims to gather a group of researchers and practitioners who shares similar technical experiences and interests in low-quality visual data-related topics, e.g., assessment, enhancement, synthesis, and their related applications in various domains. Technical works using diverse technologies and techniques, including conventional, intelligence or learning-based approaches are all invited for paper submission and to join us in this workshop. The scope of this workshop includes, but is not limited to:

• Analysis and understanding of low-quality visual data;

• Image/video quality assessment and metrification;

• Image/video optimization for downstream tasks;

• Low-quality vision applications (inclusive of satellite images, medical images, incomplete images, etc.);

• Deep learning techniques for low-quality visual data understanding;

• Data augmentation and generation for low-quality data synthesis;

• Low-quality visual data enhancement and restoration;

• Datasets for low-quality vision tasks (collection procedures and benchmarking).

Accepted Paper Presentation and Publication

The accepted workshop paper will be allocated to present physically (unless explicitly requested due to visa or other unavoidable reasons) during the half-day workshop. All the accepted workshop paper will be published in the workshop proceedings.