Lukas Stappen
Lukas Stappen
Research Assistant, University of Augsburg
Verified email at - Homepage
Cited by
Cited by
The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks
BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ...
Proceedings INTERSPEECH. Shanghai, China: ISCA, 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
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
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
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
Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications
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
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
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
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
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
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
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
MuSe 2020 Chairs' Welcome
BW Schuller, I Lefter, E Cambria, IY Kompatsiaris, L Stappen
MuSe 2020-Proceedings of the 1st International Multimodal Sentiment Analysis …, 2020
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
Attention-based Neural Networks for the Detection of Objective Linguistic Markers in Depressive Spoken and Written Language
L Stappen, N Cummins, EM Rathner, A Mallol-Ragolta, H Baumeister, ...
16th International Pragmatics Conference (IPrA 2019), Hongkong, China, 2019
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