The goal of cross-view image matching based on geo-localization is to determine the location of a given ground-view image (front view) by matching it with a group of satellite-view images (vertical view) with geographic tags. Due to the rapid developme…
Scene graph generation aims to detect visual entities and relationships between them from an image. The object-level visual information is of vital importance for predicting accurate relationships. However, most existing methods essentially encode visu…
As two practical and important image processing tasks, color demosaicking (CDM) and super-resolution (SR) have been studied for decades. However, most literature studies these two tasks independently, ignoring the potential benefits of a joint solution…
Few-shot learning aims to recognize novel classes from only a few labeled training examples. Aligning semantically relevant local regions has shown promise in effectively comparing a query image with support images. However, global information is usual…
Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration. Traditional homography estimation methods heavily depend on the quantity and distribution of feature corre…
Face anti-spoofing (FAS) plays a vital role in preventing face recognition systems from presentation attacks. Existing face anti-spoofing datasets lack diversity due to the insufficient identity and insignificant variance, which limits the generalizati…
Unmanned Aerial Vehicle (UAV)-based streaming media transmission may become unstable when the bit rate generated by the source load exceeds the channel capacity owing to the UAV location and speed change. The change of the location can affect the netwo…
Existing stereo matching methods achieve satisfactory average accuracy on a whole predicted disparity map under common global metrics, but ignore the fine-grained performance at region level, especially for far regions in the scene, which is more cruci…
Image splicing can be easily used for illegal activities such as falsifying propaganda for political purposes and reporting false news, which may result in negative impacts on society. Hence, it is highly required to detect spliced images and localize …
Pairwise prediction-error expansion (pairwise PEE) is an efficient reversible data hiding technique based on two-dimensional (2D) histogram modification. However, without considering the image content, its embedding manner lacks adaptivity. In this pap…