Large Language Models (LLMs) have shown excellent generalization capabil...
Localization is a fundamental task in robotics for autonomous navigation...
Precise localization is critical for autonomous vehicles. We present a
s...
Point cloud analysis is receiving increasing attention, however, most
ex...
Inspired by the human cognitive system, attention is a mechanism that
im...
We propose an automatic framework for toll collection, consisting of thr...
Given the rapid development of 3D scanners, point clouds are becoming po...
With the help of the deep learning paradigm, many point cloud networks h...
Object detection in three-dimensional (3D) space attracts much interest ...
Underwater image restoration is of significant importance in unveiling t...
Underwater images suffer from color casts and low contrast due to wavele...
Underwater image restoration attracts significant attention due to its
i...
Given the prominence of current 3D sensors, a fine-grained analysis on t...
Salient Object Detection (SOD) domain using RGB-D data has lately emerge...
Ever since the advent of AlexNet, designing novel deep neural architectu...
We propose the first stochastic framework to employ uncertainty for RGB-...
Image colorization is an essential image processing and computer vision
...
Point cloud analysis is attracting attention from Artificial Intelligenc...
We propose to learn a fully-convolutional network model that consists of...
Deep convolutional neural networks perform better on images containing
s...
Advances in the design of multi-spectral cameras have led to great inter...
To make the best use of the underlying minute and subtle differences,
fi...
As the basic task of point cloud learning, classification is fundamental...
Accurate localization of proteins from fluorescence microscopy images is...
This paper introduces a novel method to super-resolve multi-spectral ima...
We perform classification of ancient Roman Republican coins via recogniz...
The powerful representation capacity of deep learning has made it inevit...
Super-Resolution convolutional neural networks have recently demonstrate...
Deep convolutional networks based super-resolution is a fast-growing fie...
Deep convolutional neural networks perform better on images containing
s...
In an underwater scene, wavelength-dependent light absorption and scatte...
We propose to learn a fully-convolutional network model that consists of...