Results 51 to 60 of about 385,180 (273)

Less is More: Micro-expression Recognition from Video using Apex Frame

open access: yes, 2018
Despite recent interest and advances in facial micro-expression research, there is still plenty room for improvement in terms of micro-expression recognition. Conventional feature extraction approaches for micro-expression video consider either the whole
Liong, Sze-Teng   +3 more
core   +1 more source

Deep Learning for Micro-Expression Recognition: A Survey

open access: yesIEEE Transactions on Affective Computing, 2022
20 pages, 8 ...
Li, Yante   +5 more
openaire   +3 more sources

Micro-Expression Recognition Based on Nodal Efficiency in the EEG Functional Networks

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering
Micro-expression recognition based on ima- ges has made some progress, yet limitations persist. For instance, image-based recognition of micro-expressions is affected by factors such as ambient light, changes in head posture, and facial occlusion.
Xingcong Zhao   +7 more
doaj   +1 more source

Action Decouple Multi-Tasking for Micro-Expression Recognition

open access: yesIEEE Access, 2023
Micro-expressions are brief, involuntary facial movements that reveal genuine emotions. However, extracting and learning features from micro-expressions poses challenges due to their short duration and low intensity.
Yanxia Wang, Hu Shi, Renjie Wang
doaj   +1 more source

Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition

open access: yes, 2019
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 yielded promising performance beyond that of traditional handcrafted approaches ...
Gan, Y. S.   +4 more
core   +1 more source

Facial Micro-Expressions Grand Challenge 2018 Summary [PDF]

open access: yes2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018
This paper summarises the Facial Micro-Expression Grand Challenge (MEGC 2018) held in conjunction with the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2018. In this workshop, we aim to stimulate new ideas and techniques for facial micro-expression analysis by proposing a new cross-database challenge.
Yap, M. H. (Moi Hoon)   +3 more
openaire   +2 more sources

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

New Tests to Measure Individual Differences in Matching and Labelling Facial Expressions of Emotion, and Their Association with Ability to Recognise Vocal Emotions and Facial Identity [PDF]

open access: yes, 2015
Although good tests are available for diagnosing clinical impairments in face expression processing, there is a lack of strong tests for assessing "individual differences"--that is, differences in ability between individuals within the typical ...
Davis, Joshua M.   +4 more
core   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

open access: yesFEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga   +3 more
wiley   +1 more source

Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application

open access: yes, 2016
Spontaneous subtle emotions are expressed through micro-expressions, which are tiny, sudden and short-lived dynamics of facial muscles; thus poses a great challenge for visual recognition.
Ngo, Anh Cat Le   +2 more
core   +1 more source

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