Facial Expression Recognition Robust to Occlusion and to Intra-Similarity Problem Using Relevant Subsampling
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[1] A. Yazdani,et al. Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features , 2022, Computational intelligence and neuroscience.
[2] L. V. Savchenko,et al. Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network , 2022, IEEE Transactions on Affective Computing.
[3] A. Karpov,et al. In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study , 2022, Neurocomputing.
[4] P. M. Arunkumar,et al. Deep Learning for Forgery Face Detection Using Fuzzy Fisher Capsule Dual Graph , 2022, Inf. Technol. Control..
[5] Valerio Basile,et al. Local Multi-Head Channel Self-Attention for Facial Expression Recognition , 2021, Inf..
[6] David Griol,et al. Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning , 2021, Sensors.
[7] Zhihui Wang,et al. Facial Expression Recognition with Attention Mechanism , 2021, 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[8] Fernando Fernández-Martínez,et al. Guided Spatial Transformers for Facial Expression Recognition , 2021, Applied Sciences.
[9] Kidiyo Kpalma,et al. Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition , 2021, ArXiv.
[10] P. Maragos,et al. Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition , 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).
[11] G. Montazer,et al. Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation , 2021, SSRN Electronic Journal.
[12] Hui Yu,et al. A review on the attention mechanism of deep learning , 2021, Neurocomputing.
[13] Anis Yazidi,et al. FER-net: facial expression recognition using deep neural net , 2021, Neural Computing and Applications.
[14] Andy Kyung-yong Yoon,et al. A Study on Overcoming Disturbance Light using Polarization Filter and Performance Improvement of Face Recognition System , 2020, Journal of Multimedia Information System.
[15] Yue Zhao,et al. A Convolutional Neural Network for Compound Micro-Expression Recognition , 2019, Sensors.
[16] Shuyuan Yang,et al. A Survey of Deep Learning-Based Object Detection , 2019, IEEE Access.
[17] Yu Qiao,et al. Frame Attention Networks for Facial Expression Recognition in Videos , 2019, 2019 IEEE International Conference on Image Processing (ICIP).
[18] Jianfei Yang,et al. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition , 2019, IEEE Transactions on Image Processing.
[19] Shiguang Shan,et al. Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism , 2019, IEEE Transactions on Image Processing.
[20] Shervin Minaee,et al. Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network , 2019, Sensors.
[21] Changhu Wang,et al. Jersey Number Recognition with Semi-Supervised Spatial Transformer Network , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[22] Radu Tudor Ionescu,et al. Local Learning With Deep and Handcrafted Features for Facial Expression Recognition , 2018, IEEE Access.
[23] Shan Li,et al. Deep Facial Expression Recognition: A Survey , 2018, IEEE Transactions on Affective Computing.
[24] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[25] Mohammad H. Mahoor,et al. Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[26] Zhigeng Pan,et al. Facial Expression Recognition with CNN Ensemble , 2016, 2016 International Conference on Cyberworlds (CW).
[27] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Xiong Chen,et al. Facial expression recognition from image sequences using twofold random forest classifier , 2015, Neurocomputing.
[29] Mohammad H. Mahoor,et al. Going deeper in facial expression recognition using deep neural networks , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[30] Max Jaderberg,et al. Spatial Transformer Networks , 2015, NIPS.
[31] Wojciech Zaremba,et al. Recurrent Neural Network Regularization , 2014, ArXiv.
[32] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[33] Yoshua Bengio,et al. Challenges in representation learning: A report on three machine learning contests , 2013, Neural Networks.
[34] Takeo Kanade,et al. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[35] Trevor Darrell,et al. Hidden Conditional Random Fields for Gesture Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[36] Masakazu Matsugu,et al. Subject independent facial expression recognition with robust face detection using a convolutional neural network , 2003, Neural Networks.
[37] Beat Fasel,et al. Robust face analysis using convolutional neural networks , 2002, Object recognition supported by user interaction for service robots.
[38] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[39] S. Eddy. Hidden Markov models. , 1996, Current opinion in structural biology.
[40] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[41] P. Ekman. An argument for basic emotions , 1992 .
[42] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[43] Qiang Ji,et al. Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition , 2020, NeurIPS.
[44] Ioannis Hatzilygeroudis,et al. Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 , 2018 .
[45] M. Mahoor,et al. Facial expression recognition using lp-norm MKL multiclass-SVM , 2015 .
[46] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[47] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[48] Jeffrey T. Henrikson. Completeness and Total Boundedness of the Hausdorff Metric , 1999 .
[49] Yann LeCun,et al. Generalization and network design strategies , 1989 .