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Found 5 papers, 1 papers with code
Video super-resolution for single-photon LIDAR
3D Time-of-Flight (ToF) image sensors are used widely in applications such as self-driving cars, Augmented Reality (AR) and robotics.
DronePose: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of traditional air-space monitoring technologies to accurately characterise such vehicles.
Real-time, low-cost multi-person 3D pose estimation
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance.
High-speed object detection with a single-photon time-of-flight image sensor
The results, obtained with exposure times down to 2 ms (equivalent to 500 FPS) and in signal-to-background (SBR) ratios as low as 0. 05, point to the advantages of providing the CNN with full histogram data rather than point clouds alone.
Robust super-resolution depth imaging via a multi-feature fusion deep network
The network is designed for a SPAD camera operating in a dual-mode such that it captures alternate low resolution depth and high resolution intensity images at high frame rates, thus the system does not require any additional sensor to provide intensity images.
