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Matthias Tangemann · SciRah

Researcher profile · Semantic Scholar

Matthias Tangemann

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Matthias Tangemann — researcher profile on SciRah

h-index: 4
Works: 10
Citations: 56

Most-cited papers

Unsupervised Object Learning via Common Fate
Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello +5 more
2021CLEaR30 citations
Semantic Scholar
Measuring the Importance of Temporal Features in Video Saliency
Matthias Tangemann, Matthias Kümmerer, Thomas S. A. Wallis, M. Bethge
2020European Conference on Computer Vision13 citations Open access
Semantic Scholar
Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models
Larissa Hofling, Matthias Tangemann, Lotta Piefke, S. Keller +2 more
20266 citations
Semantic Scholar
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
2024Neural Information Processing Systems6 citations
Semantic Scholar
Isolating the Role of Temporal Information in Video Saliency: A Controlled Experimental Analysis
Peter El-Jiz, Matthias Kuemmerer, Matthias Tangemann, Matthias Bethge +2 more
2026IEEE Workshop/Winter Conference on Applications of Computer Vision1 citations
Semantic Scholar
Moving Forward with Video Saliency: A New Dataset and Benchmark where Motion Matters
Susmit Agrawal, Rebecca Wanner, Juliane Verwiebe, Matthias Tangemann +2 more
20260 citations
Semantic Scholar
Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images
Matthias Tangemann, Benjamin Lo, Zygmunt Pizlo, Kaleem Siddiqi +2 more
2026arXiv.org0 citations
Semantic Scholar
How motion promotes perceptual organization in humans and machines
Matthias Tangemann
20250 citations
Semantic Scholar
Deep feature matching vs spatio-temporal energy filtering for robust moving object segmentation
Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
2024Journal of Vision0 citations Open access
Semantic Scholar
Beyond Core Object Recognition: DNNs as Models of Dynamic Scene Perception
Matthias Tangemann, Matthias Bethge
0 citations
Semantic Scholar

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