Siyang Song
Cited by
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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 andá…, 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 & Gestureá…, 2018
Spectral representation of behaviour primitives for depression analysis
S Song, S Jaiswal, L Shen, M Valstar
IEEE Transactions on Affective Computing, 2020
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 Gestureá…, 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, 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 Intelligentá…, 2019
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
Dynamic facial models for video-based dimensional affect estimation
S Song, E Sßnchez-Lozano, M Kumar Tellamekala, L Shen, A Johnston, ...
Proceedings of the IEEE/CVF International Conference on Computer Visioná…, 2019
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
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
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
C Luo, S Song, W Xie, L Shen, H Gunes
Proceedings of the 31st International Joint Conference on Artificialá…, 2022
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
Learning graph representation of person-specific cognitive processes from audio-visual behaviours for automatic personality recognition
S Song, Z Shao, S Jaiswal, L Shen, M Valstar, H Gunes
arXiv preprint arXiv:2110.13570, 2021
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
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
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 andá…, 2022
A real-time cigarettes counting and loose ends detection algorithm
F Sheng, S Song, S Xia
2016 IEEE International Conference of Online Analysis and Computing Scienceá…, 2016
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification
Y Hou, S Song, C Yu, Y Song, W Wang, D Botteldooren
arXiv preprint arXiv:2210.15366, 2022
Inferring User Facial Affect in Work-like Settings
CMA Ilyas, S Song, H Gunes
arXiv preprint arXiv:2111.11862, 2021
Analyzing Facial Temporal Patterns for Face Anti-Spoofing
J Xia, S Song, Y Tang, L Shen
Proceedings of the 2020 9th International Conference on Computing andá…, 2020
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