The safety and success of autonomous vehicles (AVs) depend on their ability to accurately
map and respond to their surroundings in real time. One of the most promising recent …

Single-photon lidar has emerged as a prime candidate technology for depth imaging
through challenging environments. Until now, a major limitation has been the significant …

Enhancing the visibility in extreme low-light environments is a challenging task. Under
nearly lightless condition, existing image denoising methods could easily break down due to …

Objects obscured by occluders are considered lost in the images acquired by conventional
camera systems, prohibiting both visualization and understanding of such hidden objects …

Imaging objects obscured by occluders is a significant challenge for many applications. A
camera that could “see around corners” could help improve navigation and map** …

Image sensors capable of capturing individual photons have made tremendous progress in
recent years. However, this technology faces a major limitation. Because they capture scene …

In time-correlated single-photon counting (TCSPC), photons that arrive during the detector
and timing electronics dead times are missed, causing distortion of the detection time …

Neural radiance fields (NeRFs) have become a ubiquitous tool for modeling scene
appearance and geometry from multiview imagery. Recent work has also begun to explore …

Signal capture is at the forefront of perceiving and understanding the environment; thus,
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …

Single-photon avalanche diodes (SPADs) are becoming popular in time-of-flight depth-
ranging due to their unique ability to capture individual photons with picosecond timing …