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In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented.
Phonetic words decoding software in the problem of Russian speech recognition
Andrey V Savchenko · 2013
Earlier work this paper cites.
Statistical testing of segment homogeneity in classification of piecewise–regular objects
Natalya S Belova and Andrey V Savchenko · 2015
Earlier work this paper cites.
AffectNet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
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 · 2017
Earlier work this paper cites.
Organizing multimedia data in video surveillance systems based on face verification with convolutional neural networks
Anastasiia D Sokolova, Angelina S Kharchevnikova, and Andrey V Savchenko · 2018
Earlier work this paper cites.
Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2019
Earlier work this paper 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
Earlier work this paper cites.
Expression, affect, action unit recognition: Aff-Wild2, multi-task learning and ArcFace
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Earlier work this paper cites.
Analysing affective behavior in the first ABAW 2020 competition
D Kollias, A Schulc, E Hajiyev, and S Zafeiriou · 2020
Earlier work this paper cites.
Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
Earlier work this paper cites.
Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Cited alongside, same era.
Analysing affective behavior in the second ABAW2 competition
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Cited alongside, same era.
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
Andrey V Savchenko · 2021
Cited alongside, same era.
Fast inference in convolutional neural networks based on sequential three-way decisions
Andrey V Savchenko · 2021
Cited alongside, same era.
LightAutoML: AutoML solution for a large financial services ecosystem
Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, and Alexander Tuzhilin · 2021
Cited alongside, same era.
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
Later among the works it cites.
An ensemble approach for facial behavior analysis in-the-wild video
Hong-Hai Nguyen, Van-Thong Huynh, and Soo-Hyung Kim · 2022
Later among the works it cites.
HSEmotion: High-speed emotion recognition library
Andrey V Savchenko · 2022
Later among the works it cites.
Video-based frame-level facial analysis of affective behavior on mobile devices using EfficientNets
Andrey V. Savchenko · 2022
Later among the works it cites.
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
Andrey V Savchenko, Lyudmila V Savchenko, and Ilya Makarov · 2022
Later among the works it cites.
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Classification of facial expression in-the-wild based on ensemble of multi-head cross attention networks
Jae-Yeop Jeong, Yeong-Gi Hong, Daun Kim, Jin-Woo Jeong, Yuchul Jung, and Sang-Ho Kim · 2022
Cited alongside, same era.
Model level ensemble for facial action unit recognition at the 3rd ABAW challenge
Wenqiang Jiang, Yannan Wu, Fengsheng Qiao, Liyu Meng, Yuanyuan Deng, and Chuanhe Liu · 2022
Cited alongside, same era.
Exploring efficiency of vision transformers for self-supervised monocular depth estimation
Aleksei Karpov and Ilya Makarov · 2022
Cited alongside, same era.
ABAW: Learning from synthetic data & multi-task learning challenges
Dimitrios Kollias · 2022
Cited alongside, same era.
ABAW: Valence-arousal estimation, expression recognition, action unit detection & multi-task learning challenges
Dimitrios Kollias · 2022
Cited alongside, same era.
Action unit detection by exploiting spatial-temporal and label-wise attention with transformer
Lingfeng Wang, Jin Qi, Jian Cheng, and Kenji Suzuki · 2022
Later among the works it cites.
Continuous emotion recognition using visual-audio-linguistic information: A technical report for ABAW3
Su Zhang, Ruyi An, Yi Ding, and Cuntai Guan · 2022
Later among the works it cites.
Transformer-based multimodal information fusion for facial expression analysis
Wei Zhang, Feng Qiu, Suzhen Wang, Hao Zeng, Zhimeng Zhang, Rudong An, Bowen Ma, and Yu Ding · 2022
Later among the works it cites.
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, and Stefanos Zafeiriou · 2023
Closest in time.
MT-EmotiEffNet for multi-task human affective behavior analysis and learning from synthetic data
Andrey V. Savchenko · 2023
Closest in time.