Video-based facial micro-expression analysis: A survey of datasets, features and algorithms
Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …
facial expressions capable of revealing the genuine emotions that people attempt to hide …
Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity
Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …
person's genuine emotional state. The development of micro-expression analysis (MEA) has …
Remote heart rate measurement from highly compressed facial videos: an end-to-end deep learning solution with video enhancement
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any
contact, has great potential in many applications (eg, remote healthcare). Existing rPPG …
contact, has great potential in many applications (eg, remote healthcare). Existing rPPG …
Survey on deep neural networks in speech and vision systems
This survey presents a review of state-of-the-art deep neural network architectures,
algorithms, and systems in speech and vision applications. Recent advances in deep …
algorithms, and systems in speech and vision applications. Recent advances in deep …
Spatiotemporal recurrent convolutional networks for recognizing spontaneous micro-expressions
Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …
attention with its various real-world applications. Plenty of handcrafted or learned features …
Micro-expression recognition based on facial graph representation learning and facial action unit fusion
L Lei, T Chen, S Li, J Li - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
Micro-expressions recognition is a challenge because it involves subtle variations in facial
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …
organs. In this paper, first, we propose a novel pipeline to learn a facial graph (nodes and …
Joint local and global information learning with single apex frame detection for micro-expression recognition
Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect
and recognize. Most recent works have attempted to recognize MEs with spatial and …
and recognize. Most recent works have attempted to recognize MEs with spatial and …
Shallow triple stream three-dimensional cnn (ststnet) for micro-expression recognition
In the recent year, state-of-the-art for facial micro-expression recognition have been
significantly advanced by deep neural networks. The robustness of deep learning has …
significantly advanced by deep neural networks. The robustness of deep learning has …
MESNet: A convolutional neural network for spotting multi-scale micro-expression intervals in long videos
Micro-expression spotting is a fundamental step in the micro-expression analysis. This
paper proposes a novel network based convolutional neural network (CNN) for spotting …
paper proposes a novel network based convolutional neural network (CNN) for spotting …