Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children

Abbasnejad, 2017, Using synthetic data to improve facial expression analysis with 3d convolutional networks, 1609 Al Chanti, 2021, Deep learning for spatio-temporal modeling of dynamic spontaneous emotions, IEEE Trans. Affect. Comput., 12, 363, 10.1109/TAFFC.2018.2873600 Barros, 2016, Developing crossmodal expression recognition based on a deep neural model, Adapt. Behav., 24, 373, 10.1177/1059712316664017 Spatio-Temporal, 2020, Samples using deep. Audio-visual emotion recognition system for variable length spatio-temporal samples using deep transfer-learning., 434 Denham, 1990, Young preschoolers’ understanding of emotions, Child Stud. J., 20, 171 Denham, 1990, Emotional and behavioral predictors of preschool peer ratings, Child Dev., 61, 1145, 10.2307/1130882 Fan, 2016, Video-based emotion recognition using cnn-rnn and c3d hybrid networks, 445 He, 2015, Delving deep into rectifiers: surpassing human-level performance on imagenet classification, 1026 Jones, 2010, A school-randomized clinical trial of an integrated social-emotional learning and literacy intervention: Impacts after 1 school year, J. Consult. Clin. Psychol., 78, 829, 10.1037/a0021383 Jones, 2011, Two-year impacts of a universal school-based social-emotional and literacy intervention: an experiment in translational developmental research, Child Dev., 82, 533, 10.1111/j.1467-8624.2010.01560.x Khan, 2019, A novel database of children's spontaneous facial expressions (LIRIS-CSE), Image Vision Comput., 83, 61, 10.1016/j.imavis.2019.02.004 Kim, 2017, Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition, IEEE Trans. Affect. Comput., 10, 223, 10.1109/TAFFC.2017.2695999 Lai, 2018, Emotion-preserving representation learning via generative adversarial network for multi-view facial expression recognition, 263 Liu, 2014, Facial expression recognition via a boosted deep belief network, 1805 Lv, 2014, Facial expression recognition via deep learning, 303 McDowell, 2000, 306 Rifai, 2012, Disentangling factors of variation for facial expression recognition, 808 Sprung, 2015, Children's emotion understanding: a meta-analysis of training studies, Dev. Rev., 37, 41, 10.1016/j.dr.2015.05.001 Tran, 2015, Learning spatiotemporal features with 3d convolutional networks, 4489 Vielzeuf, 2017, Temporal multimodal fusion for video emotion classification in the wild, 569 Yang, 2018, Identity-adaptive facial expression recognition through expression regeneration using conditional generative adversarial networks, 294 Zhang, 2018, Joint pose and expression modeling for facial expression recognition, 3359 Zhao, 2018, Learning deep facial expression features from image and optical flow sequences using 3d cnn, Visual Comput., 34, 1461, 10.1007/s00371-018-1477-y