Abstract: Recently, the state space model (SSM) represented by Mamba has shown remarkable performance in long-term sequence modeling tasks, including speech enhancement. However, due to substantial ...

Abstract: Spectral super-resolution, which reconstructs hyperspectral images (HSI) from a single RGB image, has garnered increasing attention. Due to the limitations of CNN structures in spectral ...

Abstract: Transformers bring significantly improved performance to the light field image super-resolution task due to their long-range dependency modeling capability. However, the inherently high ...

Abstract: Dual-band infrared small-target detection not only offers richer information than single-band methods but also poses two key challenges: modeling weak targets in cluttered scenes and ...

Abstract: With the continuous scaling down of the feature size, the effect of shallow trench isolation (STI) on integrated circuit (IC) performance has become increasingly critical. This study ...

Abstract: Designing devices with memristor arrays requires simultaneous simulations of a large number of memristors. The use of detailed physical models limits the size of memristor arrays during ...

Abstract: Modeling nonlinear dynamical systems is a challenging task in fields such as speech processing, music generation, and video prediction. This paper introduces a hierarchical framework for ...