The success of event camera (EC) vision in certain types of applications has been steadily
shown thanks to energy-efficient sparse sensing, high dynamic range, and extremely high …

Many lightweight networks have been proposed for resource-limited applications, however,
they cannot be efficiently applied to neural-network processing units (NPUs) due to the …

Blind face restoration (BFR) aims to recover high-quality (HQ) face images from low-quality
(LQ) ones and usually resorts to facial priors for improving restoration performance …

Deep learning methods have led to significant improvements in the performance on the
facial landmark detection (FLD) task. However, detecting landmarks in challenging settings …

Event camera, which has recently started to increase in use, can surpass the traditional
camera in certain areas with their efficiency, level of detail in the time dimension, and high …

In facial landmark localization, facial region initialization usually plays an important role in
guiding the model to learn critical face features. Most facial landmark detectors assume a …

Few-shot class-incremental learning (FSCIL) aims to continually learn new classes using a
few samples while not forgetting the old classes. The key of this task is effective knowledge …