Florian Strohm
Institute for Visualisation and Interactive Systems, University of Stuttgart
+49 711 685 61723 Pfaffenwaldring 5a, 70569 Stuttgart, Germany University of Stuttgart, SimTech Building, Room 01.031 Google Scholar
Biography
Florian Strohm is a PhD student in the Collaborative Artificial Intelligence group since January 2020. He holds a Bachelor's and Master’s degree in Computer Science from the University of Stuttgart. During his Master’s studies he focused on the fields of Computer Vision and Machine Learning, and he won the Rul Gunzenhäuser Prize for his master thesis. His research interests are analyzing cognitive processes such as how humans encode visual stimuli in memory and the synthetic reconstruction of such stimuli.
Teaching
- 2022
- Machine Perception and Learning (Tutor) (summer)Master
- Machine Perception and Learning (Tutor) (winter)Master
- 2021
- Mensch-Computer-Interaktion (Teaching Assistant)Bachelor
- Machine Learning and Computer Vision for HCI (Fachpraktikum)Master
- 2020
- Machine Learning and Computer Vision for HCI (Fachpraktikum)Master
- Mensch-Computer-Interaktion (Teaching Assistant)Bachelor
- 2018
- Information Retrieval and Text Mining (Teaching Assistant)Bachelor/Master
- 2017
- Rechnerorganisation (Tutor)Bachelor
- 2023
- Web Interface for Interactive Face Reconstruction (B.Sc.) Lewin Fritzenschaft
- Disentangled Face Embeddings (B.Sc.) Michael Linder
- 2022
- Video-based Representation Learning for Emotion Recognition (M.Sc.) Shangrui Nie**
- Interpreting Neural Attention in NLP with Human Visual Attention (Research Project) Shangrui Nie**
- Conditional GAN-based Mask Guided Portrait Editing (M.Sc. Research Project) Prabhakar Panday
- Augmenting fMRI-based Image Reconstruction with Image Labelling (M.Sc.) Jamie Ullerich
- Intention Recognition via Eye Gaze for Hierarchical Imitation Learning (M.Sc.) Anna Penzkofer
- Fine-Grained Facial Composite Generation using Facial Landmarks (B.Sc.) Markus Kaltenecker
- 2021
- Image Reconstruction from Human Brain Activity by Variational Autoencoder and Adversarial Learning (M.Sc.) Mariia Podguzova**
- Analysing the Influence of Facial Feature Alteration on Person Identification (B.Sc.) Britta Schulz
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Individual differences in visuo-spatial working memory capacity and prior knowledge during interrupted reading
Frontiers in Cognition, 3, pp. 1–9, 2024.
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Learning User Embeddings from Human Gaze for Personalised Saliency Prediction
Proc. ACM on Human-Computer Interaction (PACM HCI), 8 (ETRA), pp. 1–18, 2024.
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SeFFeC: Semantic Facial Feature Control for Fine-grained Face Editing
arXiv:2403.13972, pp. 1–18, 2024.
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Usable and Fast Interactive Mental Face Reconstruction
Proc. ACM Symposium on User Interface Software and Technology (UIST), pp. 1–15, 2023.
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Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
Proc. Adaptive and Learning Agents Workshop (ALA), pp. 1–7, 2023.
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Facial Composite Generation with Iterative Human Feedback
Proc. The 1st Gaze Meets ML workshop, PMLR, pp. 165–183, 2023.
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Neural Photofit: Gaze-based Mental Image Reconstruction
Proc. IEEE International Conference on Computer Vision (ICCV), pp. 245-254, 2021.
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VQA-MHUG: A gaze dataset to study multimodal neural attention in VQA
Proc. ACL SIGNLL Conference on Computational Natural Language Learning (CoNLL), pp. 27–43, 2021.