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Lukas Stappen
Lukas Stappen
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Verified email at ieee.org - Homepage
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The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks
BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ...
842020
The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates
BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ...
arXiv preprint arXiv:2102.13468, 2021
572021
Sentiment Analysis and Topic Recognition in Video Transcriptions
L Stappen, A Baird, E Cambria, BW Schuller
IEEE Intelligent Systems 36 (2), 2021
512021
Muse 2020 challenge and workshop: Multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media: Emotional car reviews in-the-wild
L Stappen, A Baird, G Rizos, P Tzirakis, X Du, F Hafner, L Schumann, ...
Proceedings of the 1st International on Multimodal Sentiment Analysis in …, 2020
41*2020
Cross-lingual zero-and few-shot hate speech detection utilising frozen transformer language models and AXEL
L Stappen, F Brunn, B Schuller
arXiv preprint arXiv:2004.13850, 2020
272020
The MuSe 2021 multimodal sentiment analysis challenge: sentiment, emotion, physiological-emotion, and stress
L Stappen, A Baird, L Christ, L Schumann, B Sertolli, EM Messner, ...
Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 5-14, 2021
262021
On classifying sepsis heterogeneity in the ICU: insight using machine learning
ZM Ibrahim, H Wu, A Hamoud, L Stappen, RJB Dobson, A Agarossi
Journal of the American Medical Informatics Association 27 (3), 437-443, 2020
262020
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements
L Stappen, A Baird, L Schumann, B Schuller
IEEE Transactions on Affective Computing (Early Access), 2021
212021
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews
A Mallol-Ragolta, Z Zhao, L Stappen, N Cummins, B Schuller
Proc. Interspeech 2019, 221-225, 2019
182019
Context modelling using hierarchical attention networks for sentiment and self-assessed emotion detection in spoken narratives
L Stappen, N Cummins, EM Meßner, H Baumeister, J Dineley, B Schuller
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
122019
Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks
S Amiriparian, A Awad, M Gerczuk, L Stappen, A Baird, S Ottl, B Schuller
2019 International Joint Conference on Neural Networks (IJCNN 2019 …, 2019
102019
Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks
S Amiriparian, M Gerczuk, S Ottl, L Stappen, A Baird, L Koebe, B Schuller
EURASIP Journal on Audio, Speech, and Music Processing 2020 (1), 1-11, 2020
92020
Summary of MuSe 2020: Multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media
L Stappen, B Schuller, I Lefter, E Cambria, I Kompatsiaris
Proceedings of the 28th ACM International Conference on Multimedia, 4769-4770, 2020
92020
From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks
L Stappen, V Karas, N Cummins, F Ringeval, K Scherer, B Schuller
21st IEEE International Workshop on Multimedia Signal Processing (MMSP 2019 …, 2019
92019
X-aware: Context-aware human-environment attention fusion for driver gaze prediction in the wild
L Stappen, G Rizos, B Schuller
Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020
82020
Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus
L Stappen, G Rizos, M Hasan, T Hain, BW Schuller
Proceedings INTERSPEECH. Shanghai, China: ISCA, 2020
72020
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
L Stappen, L Schumann, B Sertolli, A Baird, B Weigell, E Cambria, ...
Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 75-82, 2021
62021
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD)
L Stappen, X Du, V Karas, S Müller, BW Schuller
arXiv preprint arXiv:2006.08521, 2020
6*2020
MuSe 2021 Challenge: multimodal emotion, sentiment, physiological-emotion, and stress detection
L Stappen, EM Meßner, E Cambria, G Zhao, BW Schuller
Proceedings of the 29th ACM International Conference on Multimedia, 5706-5707, 2021
52021
An evaluation of speech-based recognition of emotional and physiological markers of stress
A Baird, A Triantafyllopoulos, S Zänkert, S Ottl, L Christ, L Stappen, ...
22021
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