Artificial intelligence tasks across numerous applications require accelerators for fast and
low-power execution. Optical computing systems may be able to meet these domain-specific …

We review solutions to the problem of depth estimation, arguably the most important subtask
in scene understanding. We focus on the single image depth estimation problem. Due to its …

It is a grand challenge for an imaging system to simultaneously obtain multi-dimensional
light field information, such as depth and polarization, of a scene for the accurate perception …

Recent work in machine learning shows that deep neural networks can be used to solve a
wide variety of inverse problems arising in computational imaging. We explore the central …

An outstanding challenge in single-molecule localization microscopy is the accurate and
precise localization of individual point emitters in three dimensions in densely labeled …

Cameras are designed with a complicated tradeoff between image quality (eg sharpness,
contrast, color fidelity), and practical considerations such as cost, form factor, and weight …

Depth estimation and 3D object detection are critical for scene understanding but remain
challenging to perform with a single image due to the loss of 3D information during image …

The simple and compact optics of lensless microscopes and the associated computational
algorithms allow for large fields of view and the refocusing of the captured images. However …

Abstract High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring
HDR images with a single shot remains a challenging problem. Whereas modern deep …

Diffractive achromats (DAs) promise ultra-thin and light-weight form factors for full-color
computational imaging systems. However, designing DAs with the optimal optical transfer …