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The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is the first Competition aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation, basic expression recognition and action unit detection.
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D. Kollias, G. Marandianos, A. Raouzaiou, and A.-G. Stafylopatis · 2015
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P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Recognition of affect in the wild using deep neural networks
D. Kollias, M. A. Nicolaou, I. Kotsia, G. Zhao, and S. Zafeiriou · 2017
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SSH: Single stage headless face detector
M. Najibi, P. Samangouei, R. Chellappa, and L. Davis · 2017
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Aff-wild: Valence and arousal’in-the-wild’challenge
S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, and I. Kotsia · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Efficient spatial temporal convolutional features for audiovisual continuous affect recognition
H. Chen, Y. Deng, S. Cheng, Y. Wang, D. Jiang, and H. Sahli · 2019
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
D. Kollias, P. Tzirakis, M. A. Nicolaou, A. Papaioannou, G. Zhao, B. Schuller, I. Kotsia, and S. Zafeiriou · 2019
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D. Kollias and S. Zafeiriou · 2019
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Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
D. Kollias and S. Zafeiriou · 2019
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Avec 2019 workshop and challenge: state-of-mind, detecting depression with ai, and cross-cultural affect recognition
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Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, and J. Choo · 2018
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Photorealistic facial synthesis in the dimensional affect space
D. Kollias, S. Cheng, M. Pantic, and S. Zafeiriou · 2018
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Aff-wild2: Extending the aff-wild database for affect recognition
D. Kollias and S. Zafeiriou · 2018
Cited alongside, same era.
A multi-component cnn-rnn approach for dimensional emotion recognition in-the-wild
D. Kollias and S. Zafeiriou · 2018
Cited alongside, same era.
A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
D. Kollias and S. Zafeiriou · 2018
Cited alongside, same era.
Efficient augmentation via data subsampling
M. Kuchnik and V. Smith · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen · 2018
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F. Ringeval, B. Schuller, M. Valstar, N. Cummins, R. Cowie, L. Tavabi, M. Schmitt, S. Alisamir, S. Amiriparian, E.-M. Messner, et al · 2019
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Exploring emotion features and fusion strategies for audio-video emotion recognition
H. Zhou, D. Meng, Y. Zhang, X. Peng, J. Du, K. Wang, and Y. Qiao · 2019
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Fau, facial expressions, valence and arousal: A multi-task solution
D. Deng, Z. Chen, and B. E. Shi · 2020
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Deep neural network augmentation: Generating faces for affect analysis
D. Kollias, S. Cheng, E. Ververas, I. Kotsia, and S. Zafeiriou · 2020
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Two-stream aural-visual affect analysis in the wild
F. Kuhnke, L. Rumberg, and J. Ostermann · 2020
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Emotion recognition for in-the-wild videos
H. Liu, J. Zeng, S. Shan, and X. Chen · 2020
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Multi-label class balancing algorithm for action unit detection
J. Pahl, I. Rieger, and D. Seuss · 2020
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m 3 m^{3} t: Multi-modal continuous valence-arousal estimation in the wild
Y.-H. Zhang, R. Huang, J. Zeng, S. Shan, and X. Chen · 2020
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