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Human and generative AI integrate visual cues differently in a shape completion task

https://doi.org/10.2139/ssrn.5954020
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Internal representations and operations in the visual comparison of transformed patterns: Effects of pattern point-inversion, positional symmetry, and separation
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A good-continuation model of some occlusion phenomena
inferredcites →https://doi.org/10.1007/s13164-024-00740-1openalex-snapshot
Amodal Completion: Mental Imagery or 3D Modeling?
inferredcites →https://doi.org/10.1016/0004-3702(86)90052-4openalex-snapshot
Perceptual organization and the representation of natural form
inferredcites →https://doi.org/10.1016/j.cviu.2023.103661openalex-snapshot
Image amodal completion: A survey
inferredcites →https://doi.org/10.1016/j.isci.2022.104913openalex-snapshot
Deep learning models fail to capture the configural nature of human shape perception
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Review of shape representation and description techniques
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3-D structure perceived from dynamic information: a new theory
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Disentangling effects of structure and knowledge in perceiving partly occluded shapes: An ERP study
inferredcites →https://doi.org/10.1016/j.visres.2018.02.011openalex-snapshot
Temporal properties of amodal completion: Influences of knowledge
inferredcites →https://doi.org/10.1021/ci00010a011openalex-snapshot
Shape-similarity measures for molecular bodies: A 3D topological approach to quantitative shape-activity relations
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A theoretical analysis of illusory contour formation in stereopsis.
inferredcites →https://doi.org/10.1037/a0029333openalex-snapshot
A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure–ground organization.
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/nn.4244openalex-snapshot
Using goal-driven deep learning models to understand sensory cortex
inferredcites →https://doi.org/10.1038/s42256-020-00257-zopenalex-snapshot
Shortcut learning in deep neural networks
inferredcites →https://doi.org/10.1038/s44159-023-00212-wopenalex-snapshot
Drawing as a versatile cognitive tool
inferredcites →https://doi.org/10.1068/p3218openalex-snapshot
Mirror Symmetry Opposes Splitting of Chromatically Homogeneous Surfaces
inferredcites →https://doi.org/10.1068/p3374openalex-snapshot
Global Visual Completion of Quasi-Regular Shapes
inferredcites →https://doi.org/10.1068/p5304openalex-snapshot
The Perception of Distances and Spatial Relationships in Natural Outdoor Environments
inferredcites →https://doi.org/10.1068/p5794openalex-snapshot
Goodness of Regularity in Dot Patterns: Global Symmetry, Local Symmetry, and Their Interactions
inferredcites →https://doi.org/10.1073/pnas.0408444102openalex-snapshot
Visual extrapolation of contour geometry
inferredcites →https://doi.org/10.1093/acrefore/9780190264086.013.75openalex-snapshot
Visual Shape and Object Perception
inferredcites →https://doi.org/10.1111/j.1467-9280.1994.tb00623.xopenalex-snapshot
Local and Global Processes in Visual Completion
inferredcites →https://doi.org/10.1167/14.10.391openalex-snapshot
Symmetry: Less than meets the eye
inferredcites →https://doi.org/10.1167/jov.24.1.10openalex-snapshot
Asymmetric stimulus representations bias visual perceptual learning
inferredcites →https://doi.org/10.1177/2041669520939108openalex-snapshot
A Conceptual Playground Between Perception and Cognition: Introduction to the Special Issue on Amodal Completion
inferredcites →https://doi.org/10.1371/journal.pcbi.1006613openalex-snapshot
Deep convolutional networks do not classify based on global object shape
inferredcites →https://doi.org/10.1371/journal.pcbi.1008981openalex-snapshot
An image-computable model of human visual shape similarity
inferredcites →https://doi.org/10.1371/journal.pone.0254719openalex-snapshot
Constant curvature modeling of abstract shape representation
inferredcites →https://doi.org/10.1609/aaai.v39i1.32059openalex-snapshot
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
inferredcites →https://doi.org/10.3389/frai.2022.961595openalex-snapshot
Configural relations in humans and deep convolutional neural networks
inferredcites →https://doi.org/10.3758/bf03196870openalex-snapshot
The contribution of symmetry and motion to the recognition of faces at novel orientations
inferredcites →https://doi.org/10.3758/s13414-011-0197-4openalex-snapshot
Fechner, information, and shape perception
inferredcites →https://doi.org/10.3758/s13421-023-01445-zopenalex-snapshot
Towards the most prägnant Gestalt: Leveling and sharpening as contextually dependent adaptive strategies
inferredcites →https://doi.org/10.48550/arxiv.2407.08516openalex-snapshot
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents
inferredcites →https://doi.org/10.48550/arxiv.2505.06120openalex-snapshot
LLMs Get Lost In Multi-Turn Conversation
inferredcites →https://doi.org/10.60087/jaigs.v6i1.237openalex-snapshot
Merging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Powered Autonomous Agents
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