AI-generated content (AIGC) methods aim to produce text, images, videos,...
Recovering a 3D human mesh from a single RGB image is a challenging task...
Learning with large-scale unlabeled data has become a powerful tool for
...
Currently, salience-based channel pruning makes continuous breakthroughs...
Dynamic neural networks can greatly reduce computation redundancy withou...
Recent years have witnessed great progress in deep neural networks for
r...
Monocular 3D human pose estimation is quite challenging due to the inher...
For tackling the task of 2D human pose estimation, the great majority of...
The goal of fine-grained action recognition is to successfully discrimin...
Early action prediction aims to successfully predict the class label of ...
We consider the problem of counting cell nuclei from celltype-agnostic
h...