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 …
Multi-label compound expression recognition: C-expr database & network
D Kollias - Proceedings of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
Research in automatic analysis of facial expressions mainly focuses on recognising the
seven basic ones. However, compound expressions are more diverse and represent the …
seven basic ones. However, compound expressions are more diverse and represent the …
Audio-visual emotion recognition in video clips
This paper presents a multimodal emotion recognition system, which is based on the
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …
Auto-directed video stabilization with robust l1 optimal camera paths
We present a novel algorithm for automatically applying constrainable, L1-optimal camera
paths to generate stabilized videos by removing undesired motions. Our goal is to compute …
paths to generate stabilized videos by removing undesired motions. Our goal is to compute …
Dominant and complementary emotion recognition from still images of faces
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion
analysis, such as compound facial expression of emotions, has attracted high interest of …
analysis, such as compound facial expression of emotions, has attracted high interest of …
cGAN based facial expression recognition for human-robot interaction
As an emerging research topic for proximity service (ProSe), automatic emotion recognition
enables the machines to understand the emotional changes of human beings which can not …
enables the machines to understand the emotional changes of human beings which can not …
Deep learning for head pose estimation: A survey
A Asperti, D Filippini - SN Computer Science, 2023 - Springer
Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …
many approaches have constantly been developed, leading to a progressive improvement …
Ensemble approach for detection of depression using EEG features
E Avots, K Jermakovs, M Bachmann, L Päeske… - Entropy, 2022 - mdpi.com
Depression is a public health issue that severely affects one's well being and can cause
negative social and economic effects to society. To raise awareness of these problems, this …
negative social and economic effects to society. To raise awareness of these problems, this …
Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video
B Knyazev, R Shvetsov, N Efremova… - arXiv preprint arXiv …, 2017 - arxiv.org
In this paper we describe a solution to our entry for the emotion recognition challenge
EmotiW 2017. We propose an ensemble of several models, which capture spatial and audio …
EmotiW 2017. We propose an ensemble of several models, which capture spatial and audio …
Results and analysis of chalearn lap multi-modal isolated and continuous gesture recognition, and real versus fake expressed emotions challenges
We analyze the results of the 2017 ChaLearn Looking at People Challenge at ICCV. The
challenge comprised three tracks:(1) large-scale isolated (2) continuous gesture recognition …
challenge comprised three tracks:(1) large-scale isolated (2) continuous gesture recognition …