People

Olaf Hellwich

Principal Investigator

Computer Vision

TU Berlin

 

Email:

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: Object-level scene descriptions and attention in visual search
• Project 08: Knowledge-augmented face perception
• Project 25: Mice learning in social interaction
• Project 29: Hierarchical modularized vision system for perception-action loops
• Project 31: Social responsiveness and its effects on learning in human-human and human-robot interaction
• Project 40: Big mouse data
• Project 46: Mouse lock box 2
• Project 57: Internal and External Visual Information Sampling Using Eye-Movements and Overt Attention in Dynamic Scenes
2756394 Hellwich 1 apa 50 date desc year 19872 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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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
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
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

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