Towards robust pattern recognition: A review
The accuracies for many pattern recognition tasks have increased rapidly year by year,
achieving or even outperforming human performance. From the perspective of accuracy …
achieving or even outperforming human performance. From the perspective of accuracy …
Automatic depression recognition by intelligent speech signal processing: A systematic survey
Depression has become one of the most common mental illnesses in the world. For better
prediction and diagnosis, methods of automatic depression recognition based on speech …
prediction and diagnosis, methods of automatic depression recognition based on speech …
Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
Abstract The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is part of the
respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision …
respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision …
The 6th affective behavior analysis in-the-wild (abaw) competition
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th …
which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th …
Abaw: Valence-arousal estimation, expression recognition, action unit detection & multi-task learning challenges
D Kollias - Proceedings of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition,
held in conjunction with IEEE International Conference on Computer Vision and Pattern …
held in conjunction with IEEE International Conference on Computer Vision and Pattern …
Analysing affective behavior in the second abaw2 competition
D Kollias, S Zafeiriou - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Abstract The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the
second Competition-following the first very successful ABAW Competition held in …
second Competition-following the first very successful ABAW Competition held in …
Deep learning for human affect recognition: Insights and new developments
Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
Look, listen, and learn more: Design choices for deep audio embeddings
A considerable challenge in applying deep learning to audio classification is the scarcity of
labeled data. An increasingly popular solution is to learn deep audio embeddings from large …
labeled data. An increasingly popular solution is to learn deep audio embeddings from large …
Exploiting multi-cnn features in cnn-rnn based dimensional emotion recognition on the omg in-the-wild dataset
D Kollias, S Zafeiriou - IEEE Transactions on Affective …, 2020 - ieeexplore.ieee.org
This article presents a novel CNN-RNN based approach, which exploits multiple CNN
features for dimensional emotion recognition in-the-wild, utilizing the One-Minute Gradual …
features for dimensional emotion recognition in-the-wild, utilizing the One-Minute Gradual …
Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning
The first Multimodal Emotion Recognition Challenge (MER 2023) 1 was successfully held at
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …
ACM Multimedia. The challenge focuses on system robustness and consists of three distinct …