Diffusion probabilistic models have achieved remarkable success in text
...
Light field cameras can provide rich angular and spatial information to
...
Event cameras are capable of responding to log-brightness changes in
mic...
Domain adaptive semantic segmentation enables robust pixel-wise understa...
Due to the energy-consumption efficiency between up-slope and down-slope...
In this paper, we consider the problem of inferring the sign of a link b...
Saliency detection with light field images is becoming attractive given ...
The success of deep neural networks (DNNs) haspromoted the widespread
ap...
3D object grounding aims to locate the most relevant target object in a ...
3D object segmentation is a fundamental and challenging problem in compu...
Most person re-identification methods, being supervised techniques, suff...
In this paper, we propose a novel minimum gravitational potential energy...
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...
AGVs are driverless robotic vehicles that picks up and delivers material...
Gastric cancer is the second leading cause of cancer-related deaths
worl...
Reconstructing 3D facial geometry from a single RGB image has recently
i...
According to conventional neural network theories, the feature of
single...