In implant prosthesis treatment, the surgical guide of implant is used t...
In this study, the structural problems of the YOLOv5 model were analyzed...
Verbal and non-verbal human reaction generation is a challenging task, a...
When deep neural network has been proposed to assist the dentist in desi...
In dyadic interaction, predicting the listener's facial reactions is
cha...
Various stuff and things in visual data possess specific traits, which c...
In implant prosthesis treatment, the design of surgical guide requires l...
In this study, we examine the associations between channel features and
...
While remarkable success has been achieved in weakly-supervised object
l...
This paper presents our Facial Action Units (AUs) recognition submission...
Most facial landmark detection methods predict landmarks by mapping the ...
In this paper, we propose a novel 3D graph convolution based pipeline fo...
Graph is powerful for representing various types of real-world data. The...
Implant prosthesis is the most optimum treatment of dentition defect or
...
Recent mainstream weakly supervised semantic segmentation (WSSS) approac...
Recent mainstream weakly-supervised semantic segmentation (WSSS) approac...
Scientific literature serves as a high-quality corpus, supporting a lot ...
Accurate abnormality localization in chest X-rays (CXR) can benefit the
...
Traditional pixel-wise image attack algorithms suffer from poor robustne...
Due to the difficulty of cancer samples collection and annotation, cervi...
Can we construct an explainable face recognition network able to learn a...
Object detection has made substantial progress in the last decade, due t...
Pyramidal networks are standard methods for multi-scale object detection...
Deep convolutional neural network (CNN) based models are vulnerable to t...
A long-term video, such as a movie or TV show, is composed of various sc...
The activations of Facial Action Units (AUs) mutually influence one anot...
While class activation map (CAM) generated by image classification netwo...
Current adversarial attack research reveals the vulnerability of
learnin...
It has been widely known that CAM (Class Activation Map) usually only
ac...
Employing the latent space of pretrained generators has recently been sh...
Recent studies on multi-domain facial image translation have achieved
im...
The robustness and generalization ability of Presentation Attack Detecti...
Due to the diversity of attack materials, fingerprint recognition system...
This approach builds on two following findings in cognitive science: (i)...
Generative Adversarial Networks (GANs) have been widely adopted in vario...
Biometric systems are vulnerable to the Presentation Attacks (PA) perfor...
Though widely used in image classification, convolutional neural network...
The Coronavirus disease 2019 (COVID-19) has rapidly spread all over the ...
3D neuron segmentation is a key step for the neuron digital reconstructi...
Data-driven deep learning approaches to image registration can be less
a...
In this paper, we focus on category-level 6D pose and size estimation fr...
The vanilla convolutional neural network (CNN) is vulnerable to images w...
Considering the scarcity of medical data, most datasets in medical image...
Although significant progress has been made in synthesizing high-quality...
The brain tumor segmentation task aims to classify tissue into the whole...
Recently, convolutional neural networks (CNNs)-based facial landmark
det...
Deep convolutional neural network (CNN) achieves remarkable performance ...
Although current face alignment algorithms have obtained pretty good
per...
Retinal artery/vein (A/V) classification lays the foundation for the
qua...
Though GAN (Generative Adversarial Networks) based technique has greatly...