activity
20192024
most citedSpatial images from temporal data

33 citations · 64 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection

Chaitanya Kaul, Kevin J. Mitchell, Khaled Kassem +6

In the field of detection and ranging, multiple complementary sensing modalities may be used to enrich the information obtained from a dynamic scene. One application of this sensor…

eess.IV2024★ 1 cited

Single-sample image-fusion upsampling of fluorescence lifetime images

Valentin Kapitány, Areeba Fatima, Vytautas Zickus +5

Fluorescence lifetime imaging microscopy (FLIM) provides detailed information about molecular interactions and biological processes. A major bottleneck for FLIM is image resolution…

cs.LG2023

mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor

Kevin Mitchell, Khaled Kassem, Chaitanya Kaul +5

For widespread adoption, public security and surveillance systems must be accurate, portable, compact, and real-time, without impeding the privacy of the individuals being observed…

eess.IV2020★ 30 cited

3D imaging from multipath temporal echoes

Alex Turpin, Valentin Kapitany, Jack Radford +5

Echo-location is a broad approach to imaging and sensing that includes both man-made RADAR, LIDAR, SONAR and also animal navigation. However, full 3D information based on echo-loca…

eess.IV2019★ 33 cited

Spatial images from temporal data

Alex Turpin, Gabriella Musarra, Valentin Kapitany +8

Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial st…