Discovering hierarchical motion structure.

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Vision Research

• Publication date

  2016-09-01

• Fields of study

  Medicine, Computer Science, Psychology

• Identifiers
  DOI 10.1016/j.visres.2015.03.004PMID 25818905
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Structure and Flexibility in Bayesian Models of Cognition

  2015cited by this paper
• The Oxford Handbook of Computational and Mathematical Psychology

  2015cited by this paper
• On the Origins of Suboptimality in Human Probabilistic Inference

  2014cited by this paper
• Bayesian vector analysis and the perception of hierarchical motion

  2013cited by this paper
• Multistability and Perceptual Inference

  2012cited by this paper
• Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

  2011cited by this paper
• Bayesian sampling in visual perception

  2011cited by this paper
• How do object reference frames and motion vector decomposition emerge in laminar cortical circuits?

  2011cited by this paper
• Learning latent structure: carving nature at its joints.

  2010cited by this paper
• Space-time tradeoffs for approximate nearest neighbor searching

  2009cited by this paper
• fMRI measurements of color in macaque and human.

  2008cited by this paper
• Perceptual multistability predicted by search model for Bayesian decisions.

  2008cited by this paper
• Perception of human motion.

  2007cited by this paper
• Space and time, not surface features, guide object persistence

  2007cited by this paper
• The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies

  2007cited by this paper
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  2007cited by this paper
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  2006cited by this paper
• A temporal same-object advantage in the tunnel effect: facilitated change detection for persisting objects.

  2006cited by this paper
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  2004cited by this paper
• Dynamic Object Individuation in Rhesus Macaques

  2004cited by this paper
• Motion illusions as optimal percepts

  2002influential reference
• Directional performance in motion transparency.

  2002influential reference
• Motion transparency: making models of motion perception transparent.

  1999cited by this paper
• Infants' ability to use object kind information for object individuation.

  1999cited by this paper
• Bayesian inference in populations of cortical neurons: a model of motion integration and segmentation in area MT

  1999cited by this paper
• Slow and Smooth: A Bayesian theory for the combination of local motion signals in human vision

  1998influential reference
• Smoothness in layers: Motion segmentation using nonparametric mixture estimation

  1997influential reference
• A belongingness principle of motion perception.

  1997cited by this paper
• Infants' metaphysics: the case of numerical identity.

  1996cited by this paper
• Filter selection model for motion segmentation and velocity integration

  1994cited by this paper
• Segmentation versus integration in visual motion processing.

  1993influential reference
• Layered representation for motion analysis

  1993cited by this paper
• Exchangeability and related topics

  1985cited by this paper
• Vector analysis and process combination in motion perception.

  1985cited by this paper
• A quantitative study of perceptual vector analysis

  1983cited by this paper
• Perception of partly occluded objects in infancy.

  1983influential reference
• Perception of wheel-generated motions.

  1979cited by this paper
• Coding theory of the perception of motion configurations.

  1979influential reference
• Perceptual analysis of moving patterns.

  1976cited by this paper
• Relative Motion and the Adjacency Principle

  1974cited by this paper
• A Velocity Analogue of Brightness Contrast

  1973cited by this paper
• Visual perception of biological motion and a model for its analysis

  1973influential reference
• Some informational aspects of visual perception.

  1954influential reference
• A quantitative approach to figural "goodness".

  1953influential reference
• On the Tunnel Effect

  1952influential reference
• Laws of organization in perceptual forms.

  1938cited by this paper
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  1929cited by this paper
• Untersuchungen zur Lehre von der Gestalt. II

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• Hierarchical structure is employed by humans during visual motion perception

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• Infants' sensitivity to shape changes in 2D visual forms.

  2019cites this paper
• Deconstructing the human algorithms for exploration.

  2018cites this paper
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• When human intelligence meets artificial intelligence.

  2018cites this paper
• Exploiting visual motion to understand our visual world

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