Ship detection of synthetic aperture radar (SAR) images has received much attention in the
field of military and people's livelihood. The radar pulse signals reflected by buildings and …

Image inpainting based on deep learning has made remarkable progress and is widely
used in image editing, cultural relic preservation, etc. However, most image inpainting …

Due to the complexity of medical imaging techniques and the high heterogeneity of glioma
surfaces, image segmentation of human gliomas is one of the most challenging tasks in …

The target review has been proven to be able to predict the target user's rating of the target
item. However, in practice, it is difficult to obtain the target review promptly. In addition, the …

Person re-identification (Re-ID) aims to identify the same pedestrian from a surveillance
video in various scenarios. Existing Re-ID models are biased to learn background …

Crowd gathering detection plays an important role in security supervision of public areas.
Existing image-processing-based methods are not robust for complex scenes, and deep …

Recently, solving the crowd counting problem under occlusion and complex perspective is a
hot but difficult topic. Existing methods mainly constructed counters in parallel perspective …

Current single-view image inpainting methods often suffer from low image information
utilization and suboptimal repair outcomes. To address these challenges, this paper …

Estimating the Most Important Person (MIP) in any social event setup is a challenging
problem mainly due to contextual complexity and scarcity of labeled data. Moreover, the …