Florian Strohm
Florian Strohm
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An empirical analysis of the role of amplifiers, downtoners, and negations in emotion classification in microblogs
F Strohm, R Klinger
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
E Sood, F Kögel, F Strohm, P Dhar, A Bulling
Proceedings of the 25th Conference on Computational Natural Language …, 2021
The impact of intensifiers, diminishers and negations on emotion expressions
F Strohm
Neural photofit: Gaze-based mental image reconstruction
F Strohm, E Sood, S Mayer, P Müller, M Bāce, A Bulling
Proceedings of the IEEE/CVF International Conference on Computer Vision, 245-254, 2021
Facial Composite Generation with Iterative Human Feedback
F Strohm, E Sood, D Thomas, M Bāce, A Bulling
Annual Conference on Neural Information Processing Systems, 2022
Usable and Fast Interactive Mental Face Reconstruction
F Strohm, M Bāce, A Bulling
Proceedings of the 36th Annual ACM Symposium on User Interface Software and …, 2023
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
A Penzkofer, S Schaefer, F Strohm, M Bāce, S Leutenegger, A Bulling
arXiv preprint arXiv:2306.11483, 2023
3.21 Anticipation of User Goals from Human Behavioural Data for Human-AI Collaboration
F Strohm
Anticipatory Human-Machine Interaction, 154, 0
4.3 Data-driven vs. rule-based models for anticipation
J Borst, A Bulling, E Dietz, C Hao, F Keller, F Strohm, AI Sburlea, S Kaski, ...
Anticipatory Human-Machine Interaction, 157, 0
Anticipatory Human-Machine Interaction - Physical Interaction
N Russwinkel, F Keller, F Strohm, C Hao, H Admoni
Anticipatory Human-Machine Interaction, 167, 0
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