publié le: 2023
Existing deep unfolding methods unroll an optimization algorithm with a fixed number of steps, and utilize convolutional neural networks (CNNs) to lea...
We propose a novel method to compute globally injective parameterizations with arbitrary positional constraints on disk topology meshes. Central to th...
Salient object detection (SOD) in RGB and depth images has attracted increasing research interest. Existing RGB-D SOD models usually adopt fusion stra...
Generative Adversarial Networks (GANs) have recently attracted considerable attention in the AI community due to their ability to generate high-qualit...
