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Human affective behavior analysis has received much attention in human-computer interaction (HCI).
Facial action coding system
Paul Ekman and Wallace V Friesen · 1978
Earlier work this paper cites.
The japanese female facial expression (jaffe) database
Miyuki Kamachi, Michael Lyons, and Jiro Gyoba · 1997
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
Bp4d-spontaneous: a high-resolution spontaneous 3d dynamic facial expression database
Xing Zhang, Lijun Yin, Jeffrey F Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, Peng Liu, and Jeffrey M Girard · 2014
Earlier work this paper cites.
Joint fine-tuning in deep neural networks for facial expression recognition
Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, and Junmo Kim · 2015
Earlier work this paper cites.
librosa: Audio and music signal analysis in python
Brian McFee, Colin Raffel, Dawen Liang, Daniel P Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto · 2015
Earlier work this paper cites.
Multimodal spontaneous emotion corpus for human behavior analysis
Zheng Zhang, Jeff M Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andy Horowitz, Huiyuan Yang, et al · 2016
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Recognition of action units in the wild with deep nets and a new global-local loss
Carlos Fabian Benitez-Quiroz, Yan Wang, and Aleix M Martinez · 2017
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A deep learning perspective on the origin of facial expressions
Ran Breuer and Ron Kimmel · 2017
Earlier work this paper cites.
Learning spatial and temporal cues for multi-label facial action unit detection
Wen-Sheng Chu, Fernando De la Torre, and Jeffrey F Cohn · 2017
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Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition
Dae Hoe Kim, Wissam J Baddar, Jinhyeok Jang, and Yong Man Ro · 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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Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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
Earlier work this paper cites.
mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
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Openface 2.0: Facial behavior analysis toolkit
Tadas Baltrusaitis, Amir Zadeh, Yao Chong Lim, and Louis-Philippe Morency · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Multimodal language analysis with recurrent multistage fusion
Paul Pu Liang, Ziyin Liu, AmirAli Bagher Zadeh, and Louis-Philippe Morency · 2018
Cited alongside, same era.
Memory fusion network for multi-view sequential learning
Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency · 2018
Cited alongside, same era.
Multi-attention recurrent network for human communication comprehension
Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, and Louis-Philippe Morency · 2018
Cited alongside, same era.
Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
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
Cited alongside, same era.
SpeechBrain: A general-purpose speech toolkit, 2021
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, and Yoshua Bengio · 2021
Later among the works it cites.
Jaa-net: joint facial action unit detection and face alignment via adaptive attention
Zhiwen Shao, Zhilei Liu, Jianfei Cai, and Lizhuang Ma · 2021
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Emotion recognition with incomplete labels using modified multi-task learning technique
Phan Tran Dac Thinh, Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim, and Guee-Sang Lee · 2021
Later among the works it cites.
Multitask multi-database emotion recognition
Manh Tu Vu and Marie Beurton-Aimar · 2021
Later among the works it cites.
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Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Cited alongside, same era.
A compact embedding for facial expression similarity
Raviteja Vemulapalli and Aseem Agarwala · 2019
Cited alongside, same era.
Remix: rebalanced mixup
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, and Da-Cheng Juan · 2020
Cited alongside, same era.
Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev, and S Zafeiriou · 2020
Cited alongside, same era.
Designing network design spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, and Piotr Dollár · 2020
Cited alongside, same era.
Multimodal phased transformer for sentiment analysis
Junyan Cheng, Iordanis Fostiropoulos, Barry Boehm, and Mohammad Soleymani · 2021
Cited alongside, same era.
Iterative distillation for better uncertainty estimates in multitask emotion recognition
Didan Deng, Liang Wu, and Bertram E Shi · 2021
Cited alongside, same era.
Lingfeng Wang and Shisen Wang · 2021
Later among the works it cites.
Exploiting semantic embedding and visual feature for facial action unit detection
Huiyuan Yang, Lijun Yin, Yi Zhou, and Jiuxiang Gu · 2021
Later among the works it cites.
Prior aided streaming network for multi-task affective analysis
Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding, Runze Wu, Tangjie Lv, and Changjie Fan · 2021
Later among the works it cites.
Learning a facial expression embedding disentangled from identity
Wei Zhang, Xianpeng Ji, Keyu Chen, Yu Ding, and Changjie Fan · 2021
Later among the works it cites.
Facial expression recognition based on multi-head cross attention network, 2022
Jae-Yeop Jeong, Yeong-Gi Hong, Daun Kim, Yuchul Jung, and Jin-Woo Jeong · 2022
Closest in time.
Facial action unit recognition with multi-models ensembling, 2022
Wenqiang Jiang, Yannan Wu, Fengsheng Qiao, Liyu Meng, Yuanyuan Deng, and Chuanhe Liu · 2022
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Facial expression recognition with swin transformer, 2022
Jun-Hwa Kim, Namho Kim, and Chee Sun Won · 2022
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Dimitrios Kollias · 2022
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An ensemble approach for facial expression analysis in video, 2022
Hong-Hai Nguyen, Van-Thong Huynh, and Soo-Hyung Kim · 2022
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Expression classification using concatenation of deep neural network for the 3rd abaw3 competition, 2022
Kim Ngan Phan, Hong-Hai Nguyen, Van-Thong Huynh, and Soo-Hyung Kim · 2022
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Frame-level prediction of facial expressions, valence, arousal and action units for mobile devices, 2022
Andrey V. Savchenko · 2022
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Multi-label transformer for action unit detection, 2022
Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, and Kevin Bailly · 2022
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Multi-modal multi-label facial action unit detection with transformer, 2022
Lingfeng Wang, Shisen Wang, and Jin Qi · 2022
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