Results 21 to 30 of about 405,852 (280)
POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition [PDF]
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2022 Facial expression recognition (FER) is an important task in computer vision, having practical applications in areas such as human-computer interaction, education, health-care, and online monitoring.
Ce Zheng, Mat'ias Mendieta, Chen Chen
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Facial Expression Recognition [PDF]
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019 The purpose of this project was to analyze which image pre-processing technique was most beneficial in improving the performance of Facial Expression Recognition through Deep Learning and High-Performance Computing. Contrary to our expectations, the results obtained in this work showed that deep learning does not significantly benefit from various ...
Francisco Reveriano +2 more
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Facial expression recognition on a quantum computer [PDF]
Quantum Machine Intelligence, 2021 AbstractWe address the problem of facial expression recognition and show a possible solution using a quantum machine learning approach. In order to define an efficient classifier for a given dataset, our approach substantially exploits quantum interference.
Mengoni, Riccardo +2 more
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IEEE Access, 2020 The recognition rate of person-independent facial expression is generally not high, which limits the practical application of facial expression recognition.
Ying He, Shuxin Chen
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Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin [PDF]
Computer Vision and Pattern Recognition, 2022 Only parts of unlabeled data are selected to train models for most semi-supervised learning methods, whose confidence scores are usually higher than the pre-defined threshold (i.e., the confidence margin). We argue that the recognition performance should
Hangyu Li +4 more
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IEEE Access, 2023 Aiming at the problem of insufficient feature extraction and low recognition rate of traditional convolutional neural network in facial expression recognition, a multi-layer feature recognition algorithm based on three-channel convolutional neural ...
Ying He +3 more
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Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild [PDF]
AAAI Conference on Artificial Intelligence, 2022 Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natural expression recognition scene. However, DFER is often more challenging.
Hanting Li +3 more
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Regression-based Multi-View Facial Expression Recognition [PDF]
, 2010 We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g.
Pantic, Maja +2 more
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A facial expression recognition method based on face texture feature fusion
Journal of Hebei University of Science and Technology, 2021 Aiming at facial expression recognition, the recognition rate is not high due to noise and occlusion. A hybrid approach of facial expression has been presented by combining local and global features.
Tingting GAO, Hang LI, Shoulin YIN
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Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition [PDF]
IEEE Transactions on Image Processing, 2019 Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER has made substantial progresses in the past few decades, occlusion-robust and
K. Wang +4 more
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