Integrating an RGB camera into a ToF imaging system has become a significant technique
for perceiving the real world. The RGB guided ToF imaging system is crucial to several …

Depth prediction is at the core of several computer vision applications, such as autonomous
driving and robotics. It is often formulated as a regression task in which depth values are …

We present a novel depth completion approach agnostic to the sparsity of depth points, that
is very likely to vary in many practical applications. State-of-the-art approaches yield …

High frame rate and accurate depth estimation plays an important role in several tasks
crucial to robotics and automotive perception. To date, this can be achieved through ToF …

There is a positive correlation between wheat plant height and lodging, yield, and biomass.
So, in precision agriculture, a high-throughput estimation of the wheat plant's height in terms …

In This research investigates the streamlined implementation of Semantic Segmentation
Neural Networks through advanced techniques: pruning and quantization. Leveraging the …

We present a novel depth completion approach agnostic to the sparsity of depth points, that
is very likely to vary in many practical applications. State-of-the-art approaches yield …