Computational analysis and learning for a biologically motivated model of boundary detection
暂无分享,去创建一个
Iasonas Kokkinos | Rachid Deriche | Petros Maragos | Olivier D. Faugeras | O. Faugeras | R. Deriche | I. Kokkinos | P. Maragos | Iasonas Kokkinos
[1] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Iasonas Kokkinos,et al. Towards bridging the Gap between Biological and Computational Image Segmentation , 2007 .
[3] Zhuowen Tu,et al. Supervised Learning of Edges and Object Boundaries , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[4] Xuelong Li,et al. Supervised tensor learning , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[5] Philipp Slusallek,et al. Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.
[6] Michael J. Black,et al. Fields of Experts: a framework for learning image priors , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] Nicolai Petkov,et al. Contour and boundary detection improved by surround suppression of texture edges , 2004, Image Vis. Comput..
[8] O. Faugeras,et al. A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks , 2004, ECCV.
[9] Jitendra Malik,et al. Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] A. Yuille,et al. Energy functions for early vision and analog networks , 1989, Biological Cybernetics.
[11] Rachid Deriche,et al. Using Canny's criteria to derive a recursively implemented optimal edge detector , 1987, International Journal of Computer Vision.
[12] Steven W. Zucker,et al. Sketches with Curvature: The Curve Indicator Random Field and Markov Processes , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[13] P. Lennie. Receptive fields , 2003, Current Biology.
[14] Tai Sing Lee,et al. Computations in the early visual cortex , 2003, Journal of Physiology-Paris.
[15] Nicolai Petkov,et al. Suppression of contour perception by band-limited noise and its relation to nonclassical receptive field inhibition , 2003, Biological cybernetics.
[16] Bruno A. Olshausen,et al. Book Review , 2003, Journal of Cognitive Neuroscience.
[17] Alan L. Yuille,et al. Statistical Edge Detection: Learning and Evaluating Edge Cues , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[18] D. V. van Essen,et al. Scene segmentation and attention in primate cortical areas V1 and V2. , 2002, Journal of neurophysiology.
[19] Geoffrey E. Hinton,et al. A New Learning Algorithm for Mean Field Boltzmann Machines , 2002, ICANN.
[20] Jitendra Malik,et al. A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics , 2002, ECCV.
[21] A. Sillito,et al. Surround suppression in primate V1. , 2001, Journal of neurophysiology.
[22] Eero P. Simoncelli,et al. Natural signal statistics and sensory gain control , 2001, Nature Neuroscience.
[23] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[24] M. Opper,et al. Advanced mean field methods: theory and practice , 2001 .
[25] Refractor. Vision , 2000, The Lancet.
[26] D. Whitteridge. Learning and Relearning , 1959, Science's STKE.
[27] Peter Dayan,et al. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .
[28] J. Bakin,et al. Visual Responses in Monkey Areas V1 and V2 to Three-Dimensional Surface Configurations , 2000, The Journal of Neuroscience.
[29] Stephen Grossberg,et al. Visual cortical mechanisms of perceptual grouping: interacting layers, networks, columns, and maps , 2000, Neural Networks.
[30] Tommi S. Jaakkola,et al. Tutorial on variational approximation methods , 2000 .
[31] W. Godwin. Article in Press , 2000 .
[32] Heiko Neumann,et al. Recurrent V1–V2 interaction in early visual boundary processing , 1999, Biological Cybernetics.
[33] William T. Freeman,et al. Learning low-level vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[34] Z Li,et al. Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex. , 1999, Network.
[35] D. V. van Essen,et al. Response modulation by texture surround in primate area V1: Correlates of “popout” under anesthesia , 1999, Visual Neuroscience.
[36] Vivien A. Casagrande,et al. Biophysics of Computation: Information Processing in Single Neurons , 1999 .
[37] Christof Koch,et al. Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series) , 1998 .
[38] Guillermo Sapiro,et al. Robust anisotropic diffusion , 1998, IEEE Trans. Image Process..
[39] Eero P. Simoncelli,et al. A model of neuronal responses in visual area MT , 1998, Vision Research.
[40] Diane C. Rogers-Ramachandran,et al. Psychophysical evidence for boundary and surface systems in human vision , 1998, Vision Research.
[41] J. Movshon,et al. Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex , 1997, The Journal of Neuroscience.
[42] Lance R. Williams,et al. Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience , 1995, Neural Computation.
[43] Alan L. Yuille,et al. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[44] Adam L. Berger,et al. A Maximum Entropy Approach to Natural Language Processing , 1996, CL.
[45] Stephen Grossberg,et al. Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation , 1995, Neural Networks.
[46] T. S. Lee,et al. A Bayesian framework for understanding texture segmentation in the primary visual cortex , 1995, Vision Research.
[47] Heiko Neumann,et al. A Contrast- and Luminance-driven Multiscale Network Model of Brightness Perception , 1995, Vision Research.
[48] Tai Sing Lee,et al. Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation , 1995, Proceedings of IEEE International Conference on Computer Vision.
[49] Hilbert J. Kappen. Deterministic learning rules for boltzmann machines , 1995, Neural Networks.
[50] Jean-Michel Morel,et al. Variational methods in image segmentation , 1995 .
[51] David Mumford,et al. Neuronal Architectures for Pattern-theoretic Problems , 1995 .
[52] S Grossberg,et al. 3-D vision and figure-ground separation by visual cortex , 2010, Perception & psychophysics.
[53] Bart M. ter Haar Romeny,et al. Geometry-Driven Diffusion in Computer Vision , 1994, Computational Imaging and Vision.
[54] M. Carandini,et al. Summation and division by neurons in primate visual cortex. , 1994, Science.
[55] C. Bajaj. Algebraic Geometry and its Applications , 1994 .
[56] D. Mumford. Elastica and Computer Vision , 1994 .
[57] Luc Van Gool,et al. Coupled Geometry-Driven Diffusion Equations for Low-Level Vision , 1994, Geometry-Driven Diffusion in Computer Vision.
[58] Michael J. Hawken,et al. Macaque VI neurons can signal ‘illusory’ contours , 1993, Nature.
[59] Chuan Yi Tang,et al. A 2.|E|-Bit Distributed Algorithm for the Directed Euler Trail Problem , 1993, Inf. Process. Lett..
[60] Gérard G. Medioni,et al. Inferring global perceptual contours from local features , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[61] Rüdiger von der Heydt,et al. A computational model of neural contour processing: Figure-ground segregation and illusory contours , 1993, 1993 (4th) International Conference on Computer Vision.
[62] Tai Sing Lee,et al. Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model , 1992, ECCV.
[63] D. V. van Essen,et al. Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. , 1992, Journal of neurophysiology.
[64] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[65] Jitendra Malik,et al. Detecting and localizing edges composed of steps, peaks and roofs , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[66] P. Perona,et al. Detecting and localizing edges composed of steps , 1990 .
[67] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[68] A. Yuille,et al. A common framework for image segmentation , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[69] S. Grossberg,et al. The Adaptive Brain , 1990 .
[70] Steven W. Zucker,et al. Trace Inference, Curvature Consistency, and Curve Detection , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[71] D. Mumford,et al. Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .
[72] D. Burr,et al. Feature detection in human vision: a phase-dependent energy model , 1988, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[73] Shimon Ullman,et al. Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[74] S. Grossberg,et al. Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena , 1988, Perception & psychophysics.
[75] S. Grossberg. Neural Networks and Natural Intelligence , 1988 .
[76] S. Grossberg. Cortical dynamics of three-dimensional form, color, and brightness perception: I. Monocular theory , 1987, Perception & psychophysics.
[77] Stephen Grossberg,et al. Neural dynamics of surface perception: Boundary webs, illuminants, and shape-from-shading , 1987, Comput. Vis. Graph. Image Process..
[78] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[79] C Koch,et al. Analog "neuronal" networks in early vision. , 1986, Proceedings of the National Academy of Sciences of the United States of America.
[80] Geoffrey E. Hinton,et al. Learning and relearning in Boltzmann machines , 1986 .
[81] J. Daugman. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[82] S. Grossberg,et al. Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. , 1985, Psychological review.
[83] S Grossberg,et al. Neural dynamics of perceptual grouping: Textures, boundaries, and emergent segmentations , 1985, Perception & psychophysics.
[84] L. Andrews,et al. I–K distribution as a universal propagation model of laser beams in atmospheric turbulence , 1985 .
[85] E H Adelson,et al. Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[86] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[87] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[88] R. von der Heydt,et al. Illusory contours and cortical neuron responses. , 1984, Science.
[89] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[90] Stephen Grossberg,et al. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[91] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[92] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[93] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.