Transient imaging has recently made a huge impact in the computer graphics and computer
vision fields. By capturing, reconstructing, or simulating light transport at extreme temporal …

Deploying advanced imaging solutions to robotic and autonomous systems by mimicking
human vision requires simultaneous acquisition of multiple fields of views, named the …

Time-of-flight (ToF) imaging has become a widespread technique for depth estimation,
allowing affordable off-the-shelf cameras to provide depth maps in real time. However …

Convolutional sparse coding (CSC) has become an increasingly important tool in machine
learning and computer vision. Image features can be learned and subsequently used for …

Imaging through fog has important applications in industries such as self-driving cars,
augmented driving, airplanes, helicopters, drones and trains. Here we show that time …

In correlation-based time-of-flight (C-ToF) imaging systems, light sources with temporally
varying intensities illuminate the scene. Due to global illumination, the temporally varying …

Distance measurements are commonly performed by phase detection based on a lock-in
strategy. Super-resolution fluorescence microscopy is still striving to perform axial …

We demonstrate an imaging technique that allows identification and classification of objects
hidden behind scattering media and is invariant to changes in calibration parameters within …

Recent works have demonstrated non-line of sight (NLOS) reconstruction by using the time-
resolved signal from multiply scattered light. These works combine ultrafast imaging systems …

Computer vision algorithms build on 2D images or 3D videos that capture dynamic events at
the millisecond time scale. However, capturing and analyzing" transient images" at the …