3 papers
cs.CV2026
Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images
Matthias Tangemann, Benjamin Lo, Zygmunt Pizlo +3
Figure-ground organization in the human visual system relies on several shape-based cues, including surroundedness, convexity, and symmetry. While these cues have been extensively…
q-bio.NC2026
Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models
Larissa Höfling, Matthias Tangemann, Lotta Piefke +3
Neuroscientists and computer vision researchers use model-brain alignment benchmarks to compare artificial and biological vision systems. These benchmarks rank models according to…
cs.CV2024
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
Humans excel at detecting and segmenting moving objects according to the Gestalt principle of "common fate". Remarkably, previous works have shown that human perception generalizes…