Mutual-enhanced incongruity learning network for multi-modal sarcasm detection
Sarcasm is a sophisticated linguistic phenomenon that is prevalent on today's social media
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …
3D statistical head modeling for face/head-related product design: a state-of-the-art review
In the field of face/head-related product design, 3D statistical models (3DSMs) of human
heads and faces are widely used to model geometric variations, generate representative …
heads and faces are widely used to model geometric variations, generate representative …
SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network
The objective of this study was to automatically classify surgical plans for maxillary sinus
floor augmentation in implant placement at the maxillary posterior edentulous region using a …
floor augmentation in implant placement at the maxillary posterior edentulous region using a …
Beyond graph convolutional network: An interpretable regularizer-centered optimization framework
Graph convolutional networks (GCNs) have been attracting widespread attentions due to
their encouraging performance and powerful generalizations. However, few work provide a …
their encouraging performance and powerful generalizations. However, few work provide a …
Cascaded iterative transformer for jointly predicting facial landmark, occlusion probability and head pose
Landmark detection under large pose with occlusion has been one of the challenging
problems in the field of facial analysis. Recently, many works have predicted pose or …
problems in the field of facial analysis. Recently, many works have predicted pose or …
A survey and classification of face alignment methods based on face models
A face model is a mathematical representation of the distinct features of a human face.
Traditionally, face models were built using a set of fiducial points or landmarks, each point …
Traditionally, face models were built using a set of fiducial points or landmarks, each point …
An attention enhanced dual graph neural network for mesh denoising
Mesh denoising is a crucial research topic in geometric processing, as it is widely used in
reverse engineering and 3D modeling. The main objective of denoising is to eliminate noise …
reverse engineering and 3D modeling. The main objective of denoising is to eliminate noise …
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
S Duan, A Dadashzadeh, A Whone… - arXiv preprint arXiv …, 2023 - arxiv.org
Facial expression recognition (FER) methods have made great inroads in categorising
moods and feelings in humans. Beyond FER, pain estimation methods assess levels of …
moods and feelings in humans. Beyond FER, pain estimation methods assess levels of …
Facial Landmark Detection Algorithm in Complex Scenes
H Gao, X Yang, Y Hu, H Xu, Z Liang… - … on Control and …, 2024 - ieeexplore.ieee.org
Nowadays, Convolutional neural networks (CNNs) have become the benchmark technology
for many computer vision applications. Face landmark detection has been an important topic …
for many computer vision applications. Face landmark detection has been an important topic …
An Automated Method of 3D Facial Soft Tissue Landmark Prediction Based on Object Detection and Deep Learning
Y Zhang, Y Xu, J Zhao, T Du, D Li, X Zhao, J Wang… - Diagnostics, 2023 - mdpi.com
Background: Three-dimensional facial soft tissue landmark prediction is an important tool in
dentistry, for which several methods have been developed in recent years, including a deep …
dentistry, for which several methods have been developed in recent years, including a deep …