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 …

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

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 …

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 …

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 …

Imaging depth and spectrum have been extensively studied in isolation from each other for
decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both …

There is an increasing need for passive 3D scanning in many applications that have
stringent energy constraints. In this paper, we present an approach for single frame, single …

High-accuracy and high-speed three-dimensional (3D) fringe projection profilometry (FPP)
has been widely applied in many fields. Recently, researchers discovered that deep …