We consider two biologically plausible structures, the Spiking Neural Network (SNN) and the
self-attention mechanism. The former offers an energy-efficient and event-driven paradigm …

As a vital copyright protection technology, blind watermarking based on deep learning with
an end-to-end encoder-decoder architecture has been recently proposed. Although the one-…

Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic
oscillations of neural activity, which is one of the core technologies of brain-computer interface …

Vector font synthesis is a challenging and ongoing problem in the fields of Computer Vision
and Computer Graphics. The recently-proposed DeepVecFont achieved state-of-the-art …

Joint iris-periocular recognition based on feature fusion can overcome some inherent drawbacks
of unimodal biometrics, but most of the prior works are limited by conventional feature …

Deep neural networks (DNNs) are considered as intellectual property of their corresponding
owners and thus are in urgent need of ownership protection, due to the massive amount of …

The depth image based rendering (DIBR) plays a key role in 3D video synthesis, by which
other virtual views can be generated from a 2D video and its depth map. However, in the …

… Boyu Sun, Wenyuan Yang, Mengqi Yan, Dehao Wu, Yuesheng Zhu, Zhiqiang Bai School
of Electronic and Computer … The corresponding author of this paper is Yuesheng Zhu. …

Spiking Neural Networks (SNNs), known for their biologically plausible architecture, face the
challenge of limited performance. The self-attention mechanism, which is the cornerstone of …

Video retrieval is increasingly based on image content. A number of studies on video retrieval
have used low-level pixel content related to statistical moments, shape, colour and texture. …