Most cameras on portable devices adopt a rolling shutter (RS) mechanism, encoding
sufficient temporal dynamic information through sequential readouts. This advantage can be …

Recently, few-shot learning based on meta-learning has shown great potential in
hyperspectral image classification (HSIC) due to its excellent adaptability to limited training …

Abstract Neural Radiance Fields (NeRFs) have become increasingly popular because of
their impressive ability for novel view synthesis. However, their effectiveness is hindered by …

We present RS-Diffusion, the first Diffusion Models-based method for single-frame Rolling
Shutter (RS) correction. RS artifacts compromise visual quality of frames due to the row wise …

This paper proposes to correct the rolling shutter (RS) distorted images by estimating the
distortion flow from the global shutter (GS) to RS directly. Existing methods usually perform …

Currently, the general domain of video reconstruction (VR) is fragmented into different
shutters spanning global shutter and rolling shutter cameras. Despite rapid progress in the …

The Rolling Shutter (RS) effect and motion blur are common challenges in images captured
by CMOS cameras during dynamic scenes. Inspired by biological vision principles, event …

Many consumer cameras with rolling shutter (RS) CMOS would suffer undesired distortion
and artifacts, particularly when objects experiences fast motion. The neuromorphic event …

The application of few-shot learning to hyperspectral image (HSI) classification tasks has
gradually become a research hotspot due to the difficulties in acquiring and labeling HSI …

The spiking camera is an emerging neuromorphic vision sensor that records high-speed
motion scenes by asynchronously firing continuous binary spike streams. Prevailing image …