Learning Features of Intermediate Complexity for the Recognition of Biological Motion
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Martin A. Giese | Thomas Serre | Tomaso A. Poggio | Rodrigo Sigala | T. Poggio | M. Giese | Thomas Serre | R. Sigala
[1] B. Hassenstein,et al. Systemtheoretische Analyse der Zeit-, Reihenfolgen- und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus , 1956 .
[2] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[3] D H HUBEL,et al. RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT. , 1965, Journal of neurophysiology.
[4] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .
[5] A. J. Mistlin,et al. Visual analysis of body movements by neurones in the temporal cortex of the macaque monkey: A preliminary report , 1985, Behavioural Brain Research.
[6] J Allman,et al. Direction- and Velocity-Specific Responses from beyond the Classical Receptive Field in the Middle Temporal Visual Area (MT) , 1985, Perception.
[7] K. Tanaka,et al. Analysis of motion of the visual field by direction, expansion/contraction, and rotation cells clustered in the dorsal part of the medial superior temporal area of the macaque monkey. , 1989, Journal of neurophysiology.
[8] Peter Földiák,et al. Learning Invariance from Transformation Sequences , 1991, Neural Comput..
[9] G. Mather,et al. Low-level visual processing of biological motion , 1992, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[10] D. V. van Essen,et al. Selectivity for polar, hyperbolic, and Cartesian gratings in macaque visual cortex. , 1993, Science.
[11] W. Dittrich. Action Categories and the Perception of Biological Motion , 1993, Perception.
[12] Andrew T. Smith,et al. Visual detection of motion , 1994 .
[13] N. Logothetis,et al. View-dependent object recognition by monkeys , 1994, Current Biology.
[14] N. Logothetis,et al. Shape representation in the inferior temporal cortex of monkeys , 1995, Current Biology.
[15] G. Orban,et al. Spatial heterogeneity of inhibitory surrounds in the middle temporal visual area. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[16] C. Gross. Brain Mechanisms of Perception and Memory: From Neuron to Behavior.Taketoshi Ono , Larry R. Squire , Marcus E. Raichle , David I. Perrett , Masaji Fukuda , 1995 .
[17] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[18] D. Perrett,et al. Integration of form and motion in the anterior superior temporal polysensory area (STPa) of the macaque monkey. , 1996, Journal of neurophysiology.
[19] Keiji Tanaka,et al. Inferotemporal cortex and object vision. , 1996, Annual review of neuroscience.
[20] R. Blake,et al. Perception of Biological Motion , 1997, Perception.
[21] M. Livingstone,et al. Mechanisms of Direction Selectivity in Macaque V1 , 1998, Neuron.
[22] Paul Mineiro,et al. Analysis of Direction Selectivity Arising from Recurrent Cortical Interactions , 1998, Neural Computation.
[23] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[24] R. Wurtz,et al. Response to motion in extrastriate area MSTl: center-surround interactions. , 1998, Journal of neurophysiology.
[25] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[26] A. L. Humphrey,et al. Inhibitory contributions to spatiotemporal receptive-field structure and direction selectivity in simple cells of cat area 17. , 1999, Journal of neurophysiology.
[27] J. Hegdé,et al. Selectivity for Complex Shapes in Primate Visual Area V2 , 2000, The Journal of Neuroscience.
[28] Tomaso Poggio,et al. Models of object recognition , 2000, Nature Neuroscience.
[29] R. Born. Center-surround interactions in the middle temporal visual area of the owl monkey. , 2000, Journal of neurophysiology.
[30] Thomas Serre,et al. Component-based face detection , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[31] P. Sinha,et al. Functional neuroanatomy of biological motion perception in humans , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[32] Yang Song,et al. Unsupervised Learning of Human Motion Models , 2001, NIPS.
[33] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[34] G. Rizzolatti,et al. Neurophysiological mechanisms underlying the understanding and imitation of action , 2001, Nature Reviews Neuroscience.
[35] Stanley M. Bileschi,et al. Advances in Component-Based Face Detection , 2002, SVM.
[36] M. Lappe,et al. Measurement of generalization fields for the recognition of biological motion , 2002, Vision Research.
[37] Thomas Serre,et al. On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision , 2002, Biologically Motivated Computer Vision.
[38] N. Troje. Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. , 2002, Journal of vision.
[39] M. Tarr,et al. Visual Object Recognition , 1996, ISTCS.
[40] Stanley M. Bileschi,et al. Advances in component based face detection , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).
[41] Jennifer Louie. A biological model of object recognition with feature learning , 2003 .
[42] Martin A. Giese,et al. Roles of Motion and Form in Biological Motion Recognition , 2003, ICANN.
[43] T. Poggio,et al. Cognitive neuroscience: Neural mechanisms for the recognition of biological movements , 2003, Nature Reviews Neuroscience.
[44] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[45] H. Rodman,et al. Single-unit analysis of pattern-motion selective properties in the middle temporal visual area (MT) , 2004, Experimental Brain Research.
[46] Brian Leung,et al. Component-based Car Detection in Street Scene Images , 2004 .
[47] L. Chalupa,et al. The visual neurosciences , 2004 .
[48] Antonino Casile,et al. Critical features for the recognition of biological motion. , 2005, Journal of vision.
[49] Tomaso Poggio,et al. Learning a dictionary of shape-components in visual cortex: comparison with neurons, humans and machines , 2006 .