Multi-prototype few-shot learning in histopathology J Deuschel, D Firmbach, CI Geppert, M Eckstein, A Hartmann, V Bruns, ... Proceedings of the IEEE/CVF international conference on computer vision, 620-628, 2021 | 22 | 2021 |
Uncovering the bias in facial expressions J Deuschel, B Finzel, I Rieger arXiv preprint arXiv:2011.11311, 2020 | 11 | 2020 |
ADABase: A Multimodal Dataset for Cognitive Load Estimation MP Oppelt, A Foltyn, J Deuschel, NR Lang, N Holzer, BM Eskofier, ... Sensors 23 (1), 340, 2022 | 9 | 2022 |
Towards Reliable Multimodal Stress Detection under Distribution Shift A Foltyn, J Deuschel Companion Publication of the 2021 International Conference on Multimodal …, 2021 | 5 | 2021 |
Benchmarking Robustness to Natural Distribution Shifts for Facial Analysis J Deuschel, A Foltyn, LA Adams, JM Vieregge, U Schmid NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 1 | 2021 |
Evaluating the robustness of multimodal task load estimation models A Foltyn, J Deuschel, NR Lang-Richter, N Holzer, MP Oppelt Frontiers in Computer Science 6, 1371181, 2024 | | 2024 |
Kolloquium Forschende Frauen 2020: Gender in Gesellschaft 4.0: Beiträge Bamberger Nachwuchswissenschaftlerinnen J Rauscher, J Deuschel, B Finzel, I Rieger, A Wagner, C Velde, ... University of Bamberg Press, 2021 | | 2021 |