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Automatic affect recognition has applications in many areas such as education, gaming, software development, automotives, medical care, etc.
Emotion recognition and its applications
Agata Kołakowska, Agnieszka Landowska, Mariusz Szwoch, Wioleta Szwoch, and Michał Wróbel · 2014
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
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View-independent facial action unit detection
Chuangao Tang, Wenming Zheng, Jingwei Yan, Qiang Li, Yang Li, Tong Zhang, and Zhen Cui · 2017
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Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
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Aff-wild: Valence and arousal ‘in-the-wild’challenge
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, and Irene Kotsia · 2017
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Recognition of affect in the wild using deep neural networks
Dimitrios Kollias, Mihalis A Nicolaou, Irene Kotsia, Guoying Zhao, and Stefanos Zafeiriou · 2017
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A deep network for arousal-valence emotion prediction with acoustic-visual cues
Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, and Stefan Winkler · 2018
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Aff-wild2: Extending the aff-wild database for affect recognition
Dimitrios Kollias and Stefanos Zafeiriou · 2018
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A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
Dimitrios Kollias and Stefanos Zafeiriou · 2018
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Simultaneous prediction of valence / arousal and emotion categories in real-time
Sebastian Handrich, Laslo Dinges, Frerk Saxen, Ayoub Al-Hamadi, and Sven Wachmuth · 2019
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Facial action unit detection using attention and relation learning
Zhiwen Shao, Zhilei Liu, Jianfei Cai, Yunsheng Wu, and Lizhuang Ma · 2019
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Two-level attention with two-stage multi-task learning for facial emotion recognition
Wang Xiaohua, Peng Muzi, Pan Lijuan, Hu Min, Jin Chunhua, and Ren Fuji · 2019
Cited alongside, same era.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Dimitrios Kollias and Stefanos Zafeiriou · 2019
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn Schuller, Irene Kotsia, and Stefanos Zafeiriou · 2019
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Randaugment: Practical data augmentation with no separate search
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V. Le · 2019
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Analysing affective behavior in the first abaw 2020 competition
Driver emotions recognition based on improved faster r-cnn and neural architectural search network
Khalid Zaman, Zhaoyun Sun, Sayyed Mudassar Shah, Muhammad Shoaib, Lili Pei, and Altaf Hussain · 2022
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Valence and arousal estimation based on multimodal temporal-aware features for videos in the wild
Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Wenqiang Jiang, Tenggan Zhang, Chuanhe Liu, and Qin Jin · 2022
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Towards semi-supervised deep facial expression recognition with an adaptive confidence margin
Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, and Xinbo Gao · 2022
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Abaw: Learning from synthetic data & multi-task learning challenges
Dimitrios Kollias · 2022
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Multi-task learning for emotion descriptors estimation at the fourth abaw challenge
Yanan Chang, Yi Wu, Xiangyu Miao, Jiahe Wang, and Shangfei Wang · 2022
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Dimitrios Kollias, Attila Schulc, Elnar Hajiyev, and Stefanos Zafeiriou · 2020
Cited alongside, same era.
Va-stargan: Continuous affect generation
Dimitrios Kollias and Stefanos Zafeiriou · 2020
Cited alongside, same era.
Causal affect prediction model using a past facial image sequence
Geesung Oh, Euiseok Jeong, and Sejoon Lim · 2021
Cited alongside, same era.
Causal affect prediction model using a facial image sequence
Geesung Oh, Euiseok Jeong, and Sejoon Lim · 2021
Cited alongside, same era.
Facial action unit detection with transformers
Geethu Miriam Jacob and Bjorn Stenger · 2021
Cited alongside, same era.
Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
Cited alongside, same era.
Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
Dimitrios Kollias and Stefanos Zafeiriou · 2021
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Facial affect analysis: Learning from synthetic data & multi-task learning challenges
Siyang Li, Yifan Xu, Huanyu Wu, Dongrui Wu, Yingjie Yin, Jiajiong Cao, and Jingting Ding · 2022
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Hybrid cnn-transformer model for facial affect recognition in the abaw4 challenge
Lingfeng Wang, Haocheng Li, and Chunyin Liu · 2022
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Multi-task cross attention network in facial behavior analysis
Dang-Khanh Nguyen, Sudarshan Pant, Ngoc-Huynh Ho, Guee-Sang Lee, Soo-Huyng Kim, and Hyung-Jeong Yang · 2022
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Andrey V Savchenko · 2022
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Emotion recognition based on multi-task learning framework in the abaw4 challenge
Tenggan Zhang, Chuanhe Liu, Xiaolong Liu, Yuchen Liu, Liyu Meng, Lei Sun, Wenqiang Jiang, and Fengyuan Zhang · 2022
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Hand-assisted expression recognition method from synthetic images at the fourth abaw challenge
Xiangyu Miao, Jiahe Wang, Yanan Chang, Yi Wu, and Shangfei Wang · 2022
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