Deep facial expression recognition: A survey
With the transition of facial expression recognition (FER) from laboratory-controlled to
challenging in-the-wild conditions and the recent success of deep learning techniques in …
challenging in-the-wild conditions and the recent success of deep learning techniques in …
Facial emotion recognition using conventional machine learning and deep learning methods: current achievements, analysis and remaining challenges
AR Khan - Information, 2022 - mdpi.com
Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
A robust human activity recognition system using smartphone sensors and deep learning
In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …
from a wide range of pattern recognition and human–computer interaction researchers due …
A review on automatic facial expression recognition systems assisted by multimodal sensor data
Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …
as mental diseases diagnosis and human social/physiological interaction detection. With the …
Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images
R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …
caused a significant outbreak in all countries and regions for both males and females …
TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
Automatic liver and tumour segmentation in CT images are crucial in numerous clinical
applications, such as postoperative assessment, surgical planning, and pathological …
applications, such as postoperative assessment, surgical planning, and pathological …
Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy
With the recent development and application of human–computer interaction systems, facial
expression recognition (FER) has become a popular research area. The recognition of facial …
expression recognition (FER) has become a popular research area. The recognition of facial …
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
Techniques and challenges of face recognition: A critical review
S Singh, S Prasad - Procedia computer science, 2018 - Elsevier
A lot of researches are going on since last two decades for object recognition, shape
matching, and pattern recognition in the field of computer vision. Face recognition is one of …
matching, and pattern recognition in the field of computer vision. Face recognition is one of …
Human behavior understanding in big multimedia data using CNN based facial expression recognition
Human behavior analysis from big multimedia data has become a trending research area
with applications to various domains such as surveillance, medical, sports, and …
with applications to various domains such as surveillance, medical, sports, and …