
paralinguistics challenge: Atypical & self-assessed affect, crying & heart beats, 2018.Ĭ. Baumeister et al., The interspeech 2018 comput. Scherer et al., The interspeech 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism, 2013.ī. Russell, A circumplex model of affect, Journal of personality and social psychology, vol. Nakov, Semeval-2017 task 4: Sentiment analysis in twitter, Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pp. Cowie et al., Avec 2017: Real-life depression, and affect recognition workshop and challenge, 2017. Chen et al., Emotional facial expression transfer from a single image via generative adversarial nets, Computer Animation and Virtual Worlds, vol. Morenonoguer, Ganimation: Anatomically-aware facial animation from a single image, ECCV, pp. Hussain, Fusing audio, visual and textual clues for sentiment analysis from multimodal content, Neurocomputing, vol. Winkler, Deep learning for emotion recognition on small datasets using transfer learning, 2015. Mahoor, Affectnet: A database for facial expression, valence, and arousal computing in the wild, Transactions on Affective Computing, 2017. Osindero, Conditional generative adversarial nets, 2014.Ī. Mehrabian, Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament, Current Psychology, vol. Budynek, The japanese female facial expression (jaffe) database, Automatic Face and Gesture Recognition, 1998.Ī. Ambadar et al., The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression, CVPR Workshop, 2010. Du, Reliable crowdsourcing and deep localitypreserving learning for expression recognition in the wild, CVPR. Automatic Face and Gesture Recognition, 2018. Kuharenko, Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. Welling, Auto-encoding variational bayes. Jurie, Cake: Compact and accurate k-dimensional representation of emotion, 2018. Lian, Speech emotion recognition from variable-length inputs with triplet loss function, Interspeech, pp. Sun, Deep residual learning for image recognition, CVPR, 2016. Warde-farley et al., Generative adversarial nets, NIPS, pp. Martinez, Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild, 2016. Ekman, What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS)Ĭ. of personality and social psychology, vol. Friesen, Constants across cultures in the face and emotion, J. Martinez, Compound facial expressions of emotion, Proceedings of the National Academy of Sciences, 2014. Chellappa, Exprgan: Facial expression editing with controllable expression intensity. Emotiw, Audiovideo, student engagement and group-level affect prediction, ICMI, pp. Kim et al., Stargan: Unified generative adversarial networks for multi-domain image-toimage translation, p. Cambria, Affective computing and sentiment analysis, IEEE Intelligent Systems, vol. Vetter, Reanimating faces in images and video, Computer graphics forum, vol. Silva, Aumpnet: simultaneous action units detection and intensity estimation on multipose facial images using a single convolutional neural network, Automatic Face and Gesture Recognition, 2017.

Van-gool, Covariance pooling for facial expression recognition, CVPR Workshop, 2018.
Sundeep kuar face full#
To see MailOnline full report (Lone shopworker swiftly sees off THREE knife-wielding raiders – and reveals martial arts training gave her confidence to fight back, 21 January 2020) and video, go here.D. She says she’s previously trained in Gatka, a Sikh martial art, something which gave her the confidence to stand up and be counted.

Ms Kaur, from Stockton, said the shop is run by her father, Gurcharan Singh, who’s had it for around 10 years. “I tried to aim in the face and get the ones trying to get away. “I kind of just saw the knife and I thought ‘I don’t want to get hit by this.’ I pushed back and moved forward to them. “It’s hard to really have time to think, the first thing to do was to defend myself,” she said.
Sundeep kuar face skin#
The spray is a red gel which stays on the skin for around seven days. She said she knew it was ‘fight or flight’ time as the suspects burst in on Friday afternoon to demand cash.īut the thugs quickly found out they’d picked the wrong shop.Īs one of the masked trio brandished a knife at her, brave Ms Kaur stepped towards them, whipped out a can of criminal identifier spray and aimed it at their faces. Sundeep Kaur, 24, was running her father’s shop alone in Coulby Newham, North Yorkshire, when the hooded thugs walked in. Brave Sandeep Kaur pictured in front of her father’s shop – Photo: DailyMail By James Wood | UK | DAILY MAIL |
