Lukas Stappen
Lukas Stappen
University of Augsburg
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Zitiert von
Zitiert von
The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks
BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ...
Proceedings of the Annual Conference of the International Speech …, 2020
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
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
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
Sentiment Analysis and Topic Recognition in Video Transcriptions
L Stappen, A Baird, E Cambria, BW Schuller
IEEE Intelligent Systems 36 (2), 2021
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
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
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
The multimodal sentiment analysis in car reviews (muse-car) dataset: Collection, insights and improvements
L Stappen, A Baird, L Schumann, B Schuller
arXiv preprint arXiv:2101.06053, 2021
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
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
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
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
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
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
Unsupervised Graph-based Topic Modeling from Video Transcriptions
L Stappen, G Hagerer, BW Schuller, G Groh
arXiv preprint arXiv:2105.01466, 2021
An Estimation of Online Video User Engagement from Features of Continuous Emotions
L Stappen, A Baird, M Lienhart, A Bätz, B Schuller
arXiv preprint arXiv:2105.01633, 2021
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, ...
arXiv preprint arXiv:2104.07123, 2021
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
A Physiologically-adapted Gold Standard for Arousal During a Stress Induced Scenario
A Baird, L Stappen, L Christ, L Schumann, EM Meßner, BW Schuller
arXiv preprint arXiv:2107.12964, 2021
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