Siyang Song
Siyang Song
Lecturer, University of Leicester , Affiliated Reseacher, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ...
Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019
Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features
S Song, L Shen, M Valstar
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
Spectral representation of behaviour primitives for depression analysis
S Song, S Jaiswal, L Shen, M Valstar
IEEE Transactions on Affective Computing 13 (2), 829-844, 2020
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
C Luo, S Song, W Xie, L Shen, H Gunes
IJCAI 2022, 2022
Noise invariant frame selection: a simple method to address the background noise problem for text-independent speaker verification
S Song, S Zhang, BW Schuller, L Shen, M Valstar
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions
JO Egede, S Song, TA Olugbade, C Wang, CDC Amanda, H Meng, ...
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
Self-supervised learning of person-specific facial dynamics for automatic personality recognition
S Song, S Jaiswal, E Sanchez, G Tzimiropoulos, L Shen, M Valstar
IEEE Transactions on Affective Computing 14 (1), 178-195, 2021
Personality recognition by modelling person-specific cognitive processes using graph representation
Z Shao, S Song, S Jaiswal, L Shen, M Valstar, H Gunes
Proceedings of the 29th ACM international conference on multimedia, 357-366, 2021
Automatic prediction of depression and anxiety from behaviour and personality attributes
S Jaiswal, S Song, M Valstar
2019 8th international conference on affective computing and intelligent …, 2019
Learning Person-specific Cognition from Facial Reactions for Automatic Personality Recognition
S Song, Z Shao, S Jaiswal, L Shen, M Valstar, H Gunes
IEEE Transactions on Affective Computing, 2022
Dynamic facial models for video-based dimensional affect estimation
S Song, E Sánchez-Lozano, M Kumar Tellamekala, L Shen, A Johnston, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Self-supervised learning of Dynamic Representations for Static Images
S Song, E Sanchez, L Shen, M Valstar
2020 25th International Conference on Pattern Recognition (ICPR), 1619-1626, 2021
Unsupervised fNIRS feature extraction with CAE and ESN autoencoder for driver cognitive load classification
R Liu, B Reimer, S Song, B Mehler, E Solovey
Journal of Neural Engineering 18 (3), 036002, 2021
Gratis: Deep learning graph representation with task-specific topology and multi-dimensional edge features
S Song, Y Song, C Luo, Z Song, S Kuzucu, X Jia, Z Guo, W Xie, L Shen, ...
arXiv preprint arXiv:2211.12482, 2022
Two-stage temporal modelling framework for video-based depression recognition using graph representation
J Xu, S Song, K Kusumam, H Gunes, M Valstar
arXiv preprint arXiv:2111.15266, 2021
A precise and real-time loop-closure detection for slam using the rsom tree
S Song, S Xia, Z Teng, S Zhang
International Journal of Advanced Robotic Systems 12 (6), 73, 2015
Fourier-net: Fast image registration with band-limited deformation
X Jia, J Bartlett, W Chen, S Song, T Zhang, X Cheng, W Lu, Z Qiu, J Duan
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1015-1023, 2023
Spatial-Temporal Graph-Based AU Relationship Learning for Facial Action Unit Detection
Z Wang, S Song, C Luo, Y Zhou, S Wu, W Xie, L Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Statistical, spectral and graph representations for video-based facial expression recognition in children
NI Abbasi, S Song, H Gunes
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Audio event-relational graph representation learning for acoustic scene classification
Y Hou, S Song, C Yu, W Wang, D Botteldooren
IEEE signal processing letters, 2023
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