Results 261 to 270 of about 424,424 (323)

A Student Facial Expression Recognition Model Based on Multi-Scale and Deep Fine-Grained Feature Attention Enhancement. [PDF]

Sensors (Basel)
Shou Z, Huang Y, Li D, Feng C, Zhang H, Lin Y, Wu G.   +6 more
europepmc   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals. [PDF]

Front Bioeng Biotechnol
Shu L, Barradas VR, Qin Z, Koike Y.
europepmc   +1 more source

Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm. [PDF]

Sci Rep
Panliang M, Madaan S, Babikir Ali SA, J G, Khatibi A, Alsoud AR, Mittal V, Kumar L, Santhosh AJ.   +8 more
europepmc   +1 more source

Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition. [PDF]

Sensors (Basel)
Li N, Huang Y, Wang Z, Fan Z, Li X, Xiao Z.   +5 more
europepmc   +1 more source

Synchrony or asynchrony: development of facial expression recognition from childhood to adolescence based on large-scale evidence. [PDF]

Front Psychol
Wang Y, Luo Q, Zhang Y, Zhao K.
europepmc   +1 more source

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Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

IEEE Transactions on Image Processing, 2019
Facial expression recognition in the wild is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been almost perfect on analyzing constrained frontal faces, they fail to perform well on partially ...
Yong Li, Jiabei Zeng, S. Shan, Xilin Chen   +3 more
semanticscholar   +3 more sources

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

IEEE Transactions on Image Processing, 2019
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
semanticscholar   +3 more sources

Facial expression recognition based on deep learning

Computer Methods and Programs in Biomedicine, 2022
BACKGROUND AND OBJECTIVE Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the development of facial ...
Huilin Ge, Zhiyu Zhu, Yuewei Dai, Biao Wang, Xuedong Wu   +4 more
semanticscholar   +3 more sources

Facial expression recognition based on Local Binary Patterns: A comprehensive study

Image and Vision Computing, 2009
Caifeng Shan, S. Gong, P. McOwan
semanticscholar   +3 more sources