Visual Computing and Understanding: New Developments and Trends

Dear Colleagues,

We as humans have to handle massive amounts of visual information in our daily lives. As a result, there has been recent growing interest in the advancement of artificial intelligence-based perception and analysis algorithms in the field of computer vision and image processing.

Despite significant successes in visual computing and understanding in recent years, new developments and trends in the methods in which these achievements are made are still in their infancy, especially for many complex real-world applications.

The aim of this Topic is to progress this field by collecting research on both the theorical and applied issues related to advances in visual computing and understanding. All interested authors are invited to submit their innovative manuscripts on (but are not limited to) the following  topics:

• Image/video acquisition, fusion, and generation;
• Image/video coding, restoration, and quality assessment;
• Image/video classification, segmentation, and detection;
• Deep learning-based methods for image processing and analysis;
• Deep learning-based methods for video processing and analysis;
• Deep learning-based computer vision methods for 3D models;
• Intelligent vision methods for autonomous driving systems;
• Robotic vision and its applications;
• Biomedical vision analysis and applications;
• Advances in visual computing theories.

Dr. Wei Zhou
Dr. Guanghui Yue
Dr. Wenhan Yang
Topic Editors