Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

Light field imaging offers powerful new capabilities through sophisticated digital processing
techniques that are tightly merged with unconventional optical designs. This combination of …

Many learning-based algorithms have been developed to solve the inverse problem of
coded aperture snapshot spectral imaging (CASSI). However, CNN-based methods show …

We present a novel hyperspectral image reconstruction algorithm, which overcomes the
long-standing tradeoff between spectral accuracy and spatial resolution in existing …

This paper proposes a novel compressive hyperspectral (HS) imaging approach that allows
for high-resolution HS images to be captured in a single image. The proposed architecture …

Coarse depth maps can be enhanced by using the shape information from polarization
cues. We propose a framework to combine surface normals from polarization (hereafter …

Leveraging the compressive sensing (CS) theory, coded aperture snapshot spectral imaging
(CASSI) provides an efficient solution to recover 3D hyperspectral data from a 2D …

We propose to recover spectral details from RGB images of known spectral quantization by
modeling natural spectra under Gaussian Processes and combining them with the RGB …

Outdoor lighting has extremely high dynamic range. This makes the process of capturing
outdoor environment maps notoriously challenging since special equipment must be used …

Background Vision-based hand pose estimation is a very important problem in computer
vision and has been studied for over 20 years since it is one of the core technologies for …