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In this paper, we present our contribution to ABAW facial expression challenge.
“Recognition of affect in the wild using deep neural networks,”
Dimitrios Kollias, Mihalis A Nicolaou, Irene Kotsia, Guoying Zhao, and Stefanos Zafeiriou, · 1979
Earlier work this paper cites.
“Aff-wild: Valence and arousal ‘in-the-wild’challenge,”
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, and Irene Kotsia, · 1987
Earlier work this paper cites.
“Collecting large, richly annotated facial-expression databases from movies,”
Abhinav Dhall, Roland Goecke, Simon Lucey, and Tom Gedeon, · 2012
Earlier work this paper cites.
“Extreme Learning Machine for Regression and Multiclass Classification,”
Guang-Bin Huang, Hongming Zhou, Xiaojian Ding, and Rui Zhang, · 2012
Earlier work this paper cites.
“Challenges in representation learning: A report on three machine learning contests,”
Ian J Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, et al., · 2013
Earlier work this paper cites.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2014
Earlier work this paper cites.
“Keras,” https://keras.io
François Chollet et al., · 2015
Earlier work this paper cites.
“Deep face recognition,”
O. M. Parkhi, A. Vedaldi, and A. Zisserman, · 2015
Earlier work this paper cites.
“Contrasting and combining least squares based learners for emotion recognition in the wild,”
Heysem Kaya, Furkan Gürpinar, Sadaf Afshar, and Albert Ali Salah, · 2015
Cited alongside, same era.
“Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation,”
Furkan Gürpınar, Heysem Kaya, and Albert Ali Salah, · 2016
Cited alongside, same era.
“Chalearn lap 2016: First round challenge on first impressions - dataset and results,”
Víctor Ponce-López, Baiyu Chen, Marc Oliu, Ciprian Corneanu, Albert Clapés, Isabelle Guyon, Xavier Baró, Hugo Jair Escalante, and Sergio Escalera, · 2016
Cited alongside, same era.
“From individual to group-level emotion recognition: Emotiw 5.0,”
Abhinav Dhall, Roland Goecke, Shreya Ghosh, Jyoti Joshi, Jesse Hoey, and Tom Gedeon, · 2017
Cited alongside, same era.
“Video-based emotion recognition in the wild using deep transfer learning and score fusion,”
Heysem Kaya, Furkan Gürpınar, and Albert Ali Salah, · 2017
Cited alongside, same era.
“A multi-task learning & generation framework: Valence-arousal, action units & primary expressions,”
Dimitrios Kollias and Stefanos Zafeiriou, · 2018
Later among the works it cites.
“Aff-wild2: Extending the aff-wild database for affect recognition,”
Dimitrios Kollias and Stefanos Zafeiriou, · 2018
Later among the works it cites.
“VGGFace2: A dataset for recognising faces across pose and age,”
Qiong Cao, Li Shen, Weidi Xie, Omkar M Parkhi, and Andrew Zisserman, · 2018
Later among the works it cites.
“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
Later among the works it cites.
“Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface,”
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“Multi-modal score fusion and decision trees for explainable automatic job candidate screening from video cvs,”
Heysem Kaya, Furkan Gurpinar, and Albert Ali Salah, · 2017
Cited alongside, same era.
“Decoupled weight decay regularization,”
Ilya Loshchilov and Frank Hutter, · 2017
Cited alongside, same era.
“Audio set: An ontology and human-labeled dataset for audio events,”
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter, · 2017
Cited alongside, same era.
Dimitrios Kollias and Stefanos Zafeiriou, · 2019
Later among the works it cites.
“Panns: Large-scale pretrained audio neural networks for audio pattern recognition,”
Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, and Mark D Plumbley, · 2019
Later among the works it cites.
“Spleeter: a fast and efficient music source separation tool with pre-trained models,”
Romain Hennequin, Anis Khlif, Felix Voituret, and Manuel Moussallam, · 2020
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