Transformers, which are popular for language modeling, have been explored for solving
vision tasks recently, eg, the Vision Transformer (ViT) for image classification. The ViT model …

The flux-switching permanent-magnet (FSPM) machine attracts increasing attention recently
due to its high power density, robust mechanical structure, good flux-weakening capability, …

This paper proposes a novel dual-permanent-magnet-excited (DPME) machine, in which
two sets of permanent magnets (PMs) are employed, one on stator and the other on rotor. Bi-…

In this paper, we present token labeling---a new training objective for training high-performance
vision transformers (ViTs). Different from the standard training objective of ViTs that …

A smart face mask that can conveniently monitor breath information is beneficial for maintaining
personal health and preventing the spread of diseases. However, some challenges still …

Weakly supervised semantic instance segmentation with only image-level supervision,
instead of relying on expensive pixel-wise masks or bounding box annotations, is an important …

Many studies have shown that calcium phosphate ceramics can induce bone formation in
non-osseous sites without the application of any osteoinductive biomolecules, but the …

Few-shot class-incremental learning (FSCIL) aims at learning to classify new classes
continually from limited samples without forgetting the old classes. The mainstream framework …

Background Using a toxin-induced nonhuman primate model of acute liver failure (ALF), we
previously reported that peripheral infusion of human umbilical cord mesenchymal stem …

Precise and controllable image editing is a challenging task that has attracted significant
attention. Recently, DragGAN enables an interactive point-based image editing framework and …