Millimeter wave (mmWave)-based unmanned aerial vehicle (UAV) communicati...
Facial action units (FAUs) are critical for fine-grained facial expressi...
Modern autonomous vehicles rely heavily on mechanical LiDARs for percept...
Outdoor-to-indoor communications in millimeter-wave (mmWave) cellular
ne...
We propose a Transformer-based NeRF (TransNeRF) to learn a generic neura...
Skin cancer is one of the most common types of malignancy, affecting a l...
Recent advances in wearable devices and Internet-of-Things (IoT) have le...
Intelligent reflecting surfaces (IRSs) have emerged as a promising econo...
This paper addresses the problem of cross-dataset generalization of 3D h...
Electroencephalogram (EEG) decoding aims to identify the perceptual,
sem...
Annotated images are required for both supervised model training and
eva...
Most publicly available datasets for image classification are with singl...
This paper considers an intelligent reflecting surface (IRS) assisted
mu...
Estimating 3D human poses from video is a challenging problem. The lack ...
Knowledge distillation (KD) has been actively studied for image
classifi...
Deep CNN-based methods have so far achieved the state of the art results...
Subsampling unconditional generative adversarial networks (GANs) to impr...
Most autonomous vehicles (AVs) rely on LiDAR and RGB camera sensors for
...
We propose a universal and physically realizable adversarial attack on a...
This work proposes the continuous conditional generative adversarial net...
Deep neural networks are vulnerable to adversarial attacks. White-box
ad...
Recently, generative adversarial networks (GANs) can generate photo-real...
In this paper, we investigate an intelligent reflecting surface (IRS)
as...
With the great success of networks, it witnesses the increasing demand f...
In this letter, as a proof of concept, we propose a deep learning-based
...
Objective: The aim of this study is to develop an efficient and reliable...
With the widespread applications of deep convolutional neural networks
(...
Previous transfer learning methods based on deep network assume the know...
Datasets are important for researchers to build models and test how well...
In this paper, we present a Convolutional Neural Network (CNN) regressio...
Digital images nowadays have various styles of appearance, in the aspect...