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Adaptive compressed sensing for real-time video compression, transmission, and reconstruction
The real-time transmission of videos with both high resolution and high frame rate is
challenging, due to the limited storage space and significant communication overhead. To …
challenging, due to the limited storage space and significant communication overhead. To …
Solving inverse problems in compressive imaging with score-based generative models
Snapshot Compressive Imaging (SCI) is a technique for capturing high-dimensional data
through snapshot measurements using a two-dimensional (2D) detector. This approach is …
through snapshot measurements using a two-dimensional (2D) detector. This approach is …
SASA: saliency-aware self-adaptive snapshot compressive imaging
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-
dimensional (HD) data depends on the advent of novel optical designs to sample the HD …
dimensional (HD) data depends on the advent of novel optical designs to sample the HD …
Improving video colorization by test-time tuning
With the advancements in deep learning, video colorization by propagating color information
from a colorized reference frame to a monochrome video sequence has been well explored …
from a colorized reference frame to a monochrome video sequence has been well explored …
Cross-camera human motion transfer by time series analysis
With advances in optical sensor technology, heterogeneous camera systems are
increasingly used for high-resolution (HR) video acquisition and analysis. However, motion …
increasingly used for high-resolution (HR) video acquisition and analysis. However, motion …
LUCK: Lighting Up Colors in the Dark
Low-light imaging is challenging, especially in scenarios like nighttime or dim indoor
environments, where images often suffer from color distortion and noise. Traditional RGB …
environments, where images often suffer from color distortion and noise. Traditional RGB …