Wangzeng Kong

Contrastive Decoupling and Enhancement of Multi-view EEG Features for Imagined Speech Decoding.

Imagined speech decoding remains challenging in brain-computer interfaces (BCIs) due to the low signal-to-noise ratio and complex spatio-temporal-spectral structure of Electroencephalogram (EEG) data. Existing studies mainly rely on single-view features or simple fusion strategies, limiting their ability to capture div...

Bridging Static Images and Dynamic Brain Signal for Visual Decoding

Closed-Form Convolution for physically-accurate defocus in Gaussian Splatting

Recent advancements in 3D Gaussian Splatting (3DGS) have achieved impressive photorealism; however, its foundational assumption of perfectly sharp, all-in-focus imagery often breaks down in real-world scenarios. Lens-induced defocus blur, common in natural captures, can significantly degrade reconstruction quality. Whi...