Most existing salient object detection methods mostly use U-Net or featu...
GAN inversion aims at inverting given images into corresponding latent c...
Video frame interpolation has been actively studied with the development...
Image quality assessment is a fundamental problem in the field of image
...
Discovering inter-point connection for efficient high-dimensional featur...
Thanks to the ability of providing an immersive and interactive experien...
Problems such as equipment defects or limited viewpoints will lead the
c...
Empathy is an important characteristic to be considered when building a ...
Existing point cloud learning methods aggregate features from neighbouri...
Semantic segmentation usually benefits from global contexts, fine
locali...
As being one of the main representation formats of 3D real world and
wel...
Point cloud is a crucial representation of 3D contents, which has been w...
It is well believed that Transformer performs better in semantic segment...
Automatic smoky vehicle detection in videos is a superior solution to th...
Video frame interpolation task has recently become more and more prevale...
Motion estimation and motion compensation are indispensable parts of int...
The ever-increasing 3D application makes the point cloud compression
unp...
Recently, the study on object detection in aerial images has made tremen...
The optimization of occlusion-inducing depth pixels in depth map coding ...