People

Olaf Hellwich

Principal Investigator

Computer Vision

TU Berlin

 

Email:
olaf.hellwich@tu-berlin.de

Phone: +49 30 314 22796

 

Photo: SCIoI

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Olaf Hellwich

Olaf Hellwich

Photo: SCIoI

Olaf Hellwich contributes to the autonomous acquisition of prior knowledge from visual experience and the application of the priors learned from that experience. He posseses expertise in feature extraction, learning of object models from features, 3D object reconstruction, and most recently deep learning.


Projects

Olaf Hellwich is member of Project 01, Project 08, Project 25, Project 29, Project 31, Project 40, Project 46, Project 57.


Hohlbaum, K., Andresen, N., Mieske, P., Kahnau, P., Lang, B., Diederich, K., Palme, R., Mundhenk, L., Sprekeler, H., Hellwich, O., Thöne-Reineke, C., & Lewejohann, L. (2024). Lockbox enrichment facilitates manipulative and cognitive activities for mice. Open Research Europe. https://doi.org/10.12688/openreseurope.17624.2
Maier, M., Leonhardt, A., Blume, F., Bideau, P., Hellwich, O., & Rahman, R. A. (2024). Brain dynamics of mental state attribution during perception of social robot faces. OSF. https://doi.org/10.31219/osf.io/2rxy9
Halawa, M., Blume, F., Bideau, P., Maier, M., Abdel Rahman, R., & Hellwich, O. (2024). Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition. CVPR Workshop. https://doi.org/10.48550/arXiv.2404.10904
Boon, M. N., Andresen, N., Traverso, S., Meier, S., Schuessle, F., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2024). Mechanical problem solving in mice. bioRxiv. https://doi.org/10.1101/2024.07.29.605658
Halawa, M., Blume, F., Bideau, P., Maier, M., Abdel Rahman, R., & Hellwich, O. (2024). Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition. IEEE Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024. https://doi.org/10.48550/arXiv.2404.10904
Blume, F., Qu, R., Bideau, P., Maier, M., Abdel Rahman, R., & Hellwich, O. (2024). How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations. GCPR 2024.
Roth, N., Rolfs, M., Hellwich, O., & Obermayer, K. (2023). Objects guide human gaze behavior in dynamic real-world scenes. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1011512
Boon, M. N., Andresen, N., Meier, S., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2023). Mouse lock box: a sequential mechanical decision-making task to investigate complex mouse behavior. Bernstein Conference. https://doi.org/10.12751/nncn.bc2023.056
Dolokov, A., Andresen, N., Hohlbaum, K., Thöne-Reineke, C., Lewejohann, L., & Hellwich, O. (2023). Upper Bound Tracker: A Multi-Animal Tracking Solution for Closed Laboratory Settings. 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) / VISAPP, 5, 945–952. https://doi.org/10.5220/0011609500003417
Maier, M., Blume, F., Bideau, P., Hellwich, O., & Abdel Rahman, R. (2022). Knowledge-Augmented Face Perception: Prospects for the Bayesian Brain-Framework to Align AI and Human Vision. Consciousness and Cognition, 101. https://doi.org/10.1016/j.concog.2022.103301
Halawa, M., Hellwich, O., & Bideau, P. (2022). Action based Contrastive Learning for Trajectory Prediction. European Conference on Computer Vision (ECCV), 143–159. https://doi.org/10.1007/978-3-031-19842-7_9
Roth, N., Bideau, P., Hellwich, O., Rolfs, M., & Obermayer, K. (2021). A modular framework for object-based saccadic decisions in dynamic scenes. CVPR EPIC Workshop / arXiv:2106.06073. https://doi.org/10.48550/arXiv.2106.06073
Roth, N., Bideau, P., Hellwich, O., Rolfs, M., & Obermayer, K. (2021). Modeling the influence of objects on saccadic decisions in dynamic real-world scenes. PERCEPTION / 43rd European Conference on Visual Perception (ECVP) 2021. https://journals.sagepub.com/doi/full/10.1177/03010066211059887
Andresen, N., Wöllhaf, M., Hohlbaum, K., Lewejohann, L., Hellwich, O., Thöne-Reineke, C., & Belik, V. (2020). Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis. PLOS ONE, 15(4), e0228059. https://doi.org/10.1371/journal.pone.0228059
Halawa, M., Wollhaf, M., Vellasques, E., Sanchez Sanz, U., UrkoSanz, & Hellwich, O. (2020). Learning Disentangled Expression Representations from Facial Images. arxiv and WiCV at ECCV2020. https://doi.org/10.48550/arXiv.2008.07001

Best Poster Award (VISAPP 2023)

Research

An overview of our scientific work

See our Research Projects