Visual features of intermediate complexity and their use in classification

Ullman, Shimon, Vidal-Naquet, Michel, Sali, Erez·2002·Nature Neuroscience
DOI 10.1038/nn870

Cited by (599)

Items 101–200 of 599

  1. Neoconstructivism: The New Science of Cognitive Development
    Scott P. Johnson · 2009
  2. Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares
    Kamila Maria Jozwik, Nikolaus Kriegeskorte, Marieke Mur · 2015 · Neuropsychologia
  3. Feature selection for high-dimensional data
    Augusto Destrero, Sofia Mosci, Christine De Mol, Alessandro Verri, Francesca Odone · 2008 · Computational Management Science
  4. Statistics of high-level scene context
    Michelle R. Greene · 2013 · Frontiers in Psychology
  5. Shape Matching and Object Recognition
    Alexander C. Berg, Jitendra Malik · 2006 · Lecture notes in computer science
  6. Invariant visual object recognition and shape processing in rats
    Davide Zoccolan · 2015 · Behavioural Brain Research
  7. Feature hierarchies for object classification
    Boris Epshtein, S. Uliman · 2005 · IEEE/CVF International Conference on Computer Vision (ICCV)
  8. Image interpretation by a single bottom-up top-down cycle
    Boris Epshtein, Ita Lifshitz, Shimon Ullman · 2008 · Proceedings of the National Academy of Sciences
  9. Measuring Internal Representations from Behavioral and Brain Data
    Marie L. Smith, Frédéric Gosselin, Philippe G. Schyns · 2012 · Current Biology
  10. Asking the right questions about the psychology of human inquiry: Nine open challenges
    Anna Coenen, Jonathan D. Nelson, Todd Matthew Gureckis · 2018 · Psychonomic Bulletin & Review
  11. With a careful look: Still no low-level confound to face pop-out
    Orit Hershler, Shaul Hochstein · 2006 · Vision Research
  12. Developmental changes in visual object recognition between 18 and 24 months of age
    Alfredo F. Pereira, Linda B. Smith · 2008 · Developmental Science
  13. Handwritten-Word Spotting Using Biologically Inspired Features
    Tijn van der Zant, Lambert Schomaker, Koen V. Haak · 2008 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  14. From simple innate biases to complex visual concepts
    Ullman, Shimon, Harari, Daniel, Dorfman, Nimrod · 2012 · Proceedings of the National Academy of Sciences
  15. Boundary assignment in a recurrent network architecture
    Janneke F. M. Jehee, Victor A. F. Lamme, Pieter R. Roelfsema · 2007 · Vision Research
  16. Adopting Abstract Images for Semantic Scene Understanding
    C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh · 2014 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  17. Human action recognition approaches with video datasets—A survey
    Tansel Özyer, Ak Duygu Selin, Reda Alhajj · 2021 · Knowledge-Based Systems
  18. The role of invariant line junctions in object and visual word recognition
    Marcin Szwed A, Laurent Cohen, Emilie Qiao, Stanislas Dehaene · 2009 · Vision Research
  19. New Directions In Statistical Signal Processing: From Systems To Brains
    S. Haykin, José Carlos Príncipe, Terrence J. Sejnowski A B, John G. McWhirter · 2009 · Medical Entomology and Zoology
  20. Visual number sense in untrained deep neural networks
    GwangSu Kim, Jaeson Jang, Seungdae Baek, Min Jeong Song, Se‐Bum Paik · 2021 · Science Advances
  21. Functional Dissociations within the Ventral Object Processing Pathway: Cognitive Modules or a Hierarchical Continuum?
    Rosemary A. Cowell, Timothy J. Bussey, Lisa M. Saksida · 2009 · Journal of Cognitive Neuroscience
  22. The inferior temporal cortex: Architecture, computation, and representation
    Ichiro Fujita · 2002 · Journal of Neurocytology
  23. Rapid Adaptation of the M170 Response: Importance of Face Parts
    Alison M. Harris, Ken Nakayama · 2007 · Cerebral Cortex
  24. Task-Specific Codes for Face Recognition: How they Shape the Neural Representation of Features for Detection and Individuation
    Adrian Nestor, Jean M. Vettel, Michael J. Tarr · 2008 · PLoS ONE
  25. Attention in hierarchical models of object recognition
    Dirk B. Walther, Christof Koch A · 2007 · Progress in brain research
  26. Object Representations for Multiple Visual Categories Overlap in Lateral Occipital and Medial Fusiform Cortex
    Gilles Pourtois, Sophie Schwartz, Mona Spiridon, Roberto Martuzzi, Patrik O. Vuilleumier · 2008 · Cerebral Cortex
  27. Automated Reconstruction of Building LoDs from Airborne LiDAR Point Clouds Using an Improved Morphological Scale Space
    Bisheng Yang, Ronggang Huang, Jianping Li, Mao Tian, Wenxia Dai, Ruofei Zhong · 2016 · Remote Sensing
  28. The recognition of partially visible natural objects in the presence and absence of their occluders.
    J. Johnson, B. Olshausen · 2005 · Vision Research
  29. The contents of the search template for category-level search in natural scenes
    Reshanne Reeder, Marius V. Peelen · 2013 · Journal of Vision
  30. A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs
    Tianfu Wu, Song Chun Zhu · 2010 · International Journal of Computer Vision
  31. The Cognitive Impenetrability of Perception and Theory-Ladenness
    Athanassios Raftopoulos · 2015 · Journal for General Philosophy of Science
  32. Complexity of Images: Experimental and Computational Estimates Compared
    Valeriy N. Chikhman, Valeriya Bondarko, Marina V. Danilova, Anna Goluzina, Y E Shelepin · 2012 · Perception
  33. The development of newborn object recognition in fast and slow visual worlds
    Justin N. Wood, Samantha M. W. Wood · 2016 · Proceedings of the Royal Society B Biological Sciences
  34. Beyond perceptual expertise: revisiting the neural substrates of expert object recognition
    Assaf Harel, Dwight J. Kravitz, Chris Ian Baker · 2013 · Frontiers in Human Neuroscience
  35. A neuromorphic approach to computer vision
    Thomas Serre, Tomaso Poggio · 2010 · Communications of the ACM
  36. The Role of Color in Human Face Detection
    M. Bindemann, A. M. Burton · 2009 · Cognitive Sciences
  37. Eye coding mechanisms in early human face event-related potentials
    Guillaume A. Rousselet, Robin A. A. Ince, Nicola J. van Rijsbergen, Philippe G. Schyns · 2014 · Journal of Vision
  38. Cognitive Tomography Reveals Complex, Task-Independent Mental Representations
    Neil Houlsby, Ferenc Huszár, Mohammad M. Ghassemi, Gergő Orbán, Daniel M. Wolpert, Máté Lengyel · 2013 · Current Biology
  39. Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity
    Timothée Masquelier, Simon J. Thorpe · 2010 · International Joint Conference on Neural Networks (IJCNN)
  40. What is special about expertise? Visual expertise reveals the interactive nature of real-world object recognition
    Assaf Harel · 2015 · Neuropsychologia
  41. Categorical, Yet Graded - Single-Image Activation Profiles of Human Category-Selective Cortical Regions
    Marieke Mur, Douglas A. Ruff, Jerzy Bodurka, Peter De Weerd, Peter A. Bandettini, Nikolaus Kriegeskorte · 2012 · Journal of Neuroscience
  42. Key visual features for rapid categorization of animals in natural scenes
    Arnaud Delorme A · 2010 · Frontiers in Psychology
  43. \nWhere are the concepts? What words can and can’t reveal
    Barbara C. Malt, Silvia P. Gennari, Mutsumi Imai, Eef Ameel, Noburo Saji, Asifa Majid · 2015 · Radboud Repository (Radboud University)
  44. Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes
    Dashan Gao, Nuno M. Vasconcelos · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  45. The edge complex: Implicit memory for figure assignment in shape perception
    Mary A. Petrson, James T. Enns · 2005 · Perception & Psychophysics
  46. Optimal stimulus encoders for natural tasks
    Wilson S. Geisler, Jiri Najemnik, A. David Ing · 2009 · Journal of Vision
  47. Mathematics of the Neural Response
    S. Smale, Lorenzo Rosasco, Jake Bouvrie, Andrea Caponnetto, Tomaso Poggio · 2009 · Foundations of Computational Mathematics
  48. On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision
    Thomas Serre, Maximilian Riesenhuber, Jennifer Louie, Tomaso Poggio · 2002 · Lecture notes in computer science
  49. Unsupervised Discovery of Mid-Level Discriminative Patches
    Singh, Saurabh, Gupta, Abhinav, Efros, Alexei · 2012 · arXiv (Cornell University)
  50. What are the visual features underlying rapid object recognition?
    Sébastien M. Crouzet · 2011 · Frontiers in Psychology
  51. Scalable multi-class object detection
    Nima Razavi, Jüergen Gall, Luc Van Gool · 2011
  52. Early biases and developmental changes in self-generated object views
    Alfredo F. Pereira, Karin Harman James, Susan Scanlon Jones, Linda B. Smith · 2010 · Journal of Vision
  53. Humans and monkeys share visual representations
    Denis Fize, Maxime Cauchoix, M. Fabre‐Thorpe · 2011 · Proceedings of the National Academy of Sciences
  54. View-Invariant Recognition Using Corresponding Object Fragments
    Evgeniy Bart, Evgeny Byvatov, Shimon Ullman · 2004 · Lecture notes in computer science
  55. Recognition invariance obtained by extended and invariant features
    Shimon Ullman, Evgeniy Bart · 2004 · Neural Networks
  56. Changes in Visual Object Recognition Precede the Shape Bias in Early Noun Learning
    Meagan Yee, Susan Scanlon Jones, Linda B. Smith · 2012 · Frontiers in Psychology
  57. Dynamics of Trimming the Content of Face Representations for Categorization in the Brain
    Nicola J. van Rijsbergen, Philippe G. Schyns · 2009 · PLoS Computational Biology
  58. Class Information Predicts Activation by Object Fragments in Human Object Areas
    Yulia Lerner, Boris Epshtein, Shimon Ullman, Rafael Malach · 2008 · Journal of Cognitive Neuroscience
  59. A New Biologically Motivated Framework for Robust Object Recognition
    Thomas Serre, Lior Wolf, Tomaso Poggio · 2004
  60. Object Class Recognition with Many Local Features
    Sofian Helmer, David G. Lowe · 2005 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  61. Ultra-Rapid Scene Categorization with a Wave of Spikes
    Simon J. Thorpe · 2002 · Lecture notes in computer science
  62. Pre-cueing, the Epistemic Role of Early Vision, and the Cognitive Impenetrability of Early Vision
    Athanassios Raftopoulos · 2017 · Frontiers in Psychology
  63. Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements
    Liang Wang, Gaofeng Che, Jiantuan Hu, Lin Chen · 2024 · Journal of theoretical and applied electronic commerce research
  64. The Evolution of Object Categorization and the Challenge of Image Abstraction
    Sven Dickinson · 2009 · Cambridge University Press eBooks
  65. Semantic Classification of High-Resolution Remote-Sensing Images Based on Mid-level Features
    Junping Zhang, Tong Li, Xiaochen Lu, Zhen Cheng · 2016 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  66. Natural Image Statistics and Low-Complexity Feature Selection
    Manuela Vasconcelos, Nuno M. Vasconcelos · 2009 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  67. Single-example learning of novel classes using representation by similarity
    Evgeniy Bart, Shimon Ullman · 2005 · British Machine Vision Conference (BMVC)
  68. Detecting People in Cubist Art
    Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik · 2015 · Lecture notes in computer science
  69. Feedforward object-vision models only tolerate small image variations compared to human
    Masoud Ghodrati, Amirhossein Farzmahdi, Karim Rajaei, Reza Ebrahimpour, Seyed‐Mahdi Khaligh‐Razavi · 2014 · Frontiers in Computational Neuroscience
  70. A Calcium-Dependent Plasticity Rule for HCN Channels Maintains Activity Homeostasis and Stable Synaptic Learning
    Suraj Honnuraiah, Rishikesh Narayanan · 2013 · PLoS ONE
  71. Limits of Event-related Potential Differences in Tracking Object Processing Speed
    Guillaume A. Rousselet, Marc J.‐M. Macé, Simon J. Thorpe, M. Fabre‐Thorpe · 2007 · Journal of Cognitive Neuroscience
  72. Brain-inspired models for visual object recognition: an overview
    Xi Nan Yang, Jie Yan, Wen Wang, Shaoyi Li, Bo Hu, Jian Liang Lin · 2022 · Artificial Intelligence Review
  73. Combined subspace method using global and local features for face recognition
    Chunghoon Kim, Ji Yong Oh, Chong‐Ho Choi · 2006 · International Joint Conference on Neural Networks (IJCNN)
  74. Category Learning Stretches Neural Representations in Visual Cortex
    Jonathan R. Folstein, Thomas J. Palmeri, Ana E. Van Gulick, L. Gauthier · 2015 · Current Directions in Psychological Science
  75. Neural encoding of relative position.
    Kenneth J. Hayworth, Mark D. Lescroart, Irving Biederman · 2011 · Journal of Experimental Psychology Human Perception & Performance
  76. Object Class Recognition by Boosting a Part-Based Model
    Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  77. Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model
    Timothée Masquelier · 2011 · Journal of Computational Neuroscience
  78. Space-by-time manifold representation of dynamic facial expressions for emotion categorization
    Ioannis Delis, Chaona Chen, Rachael Elizabeth Jack, Oliver Garrod, Stefano Panzeri, Philippe G. Schyns · 2016 · Journal of Vision
  79. Why vision is not both hierarchical and feedforward
    Michael H. Herzog, Aaron Clarke · 2014 · Frontiers in Computational Neuroscience
  80. Hierarchical Models of the Visual System
    Thomas Serre · 2014 · Encyclopedia of Computational Neuroscience
  81. Privileged Coding of Convex Shapes in Human Object-Selective Cortex
    Johannes Haushofer, Chris Ian Baker, Margaret S. Livingstone, Nancy Kanwisher · 2008 · Journal of Neurophysiology
  82. Incorporating Background Invariance into Feature-Based Object Recognition
    Andrew N. Stein, Martial Hebert · 2005 · IEEE Winter Conference on Applications of Computer Vision
  83. Similarity relations in visual search predict rapid visual categorization
    K. Mohan, Sripati P. Arun · 2012 · Journal of Vision
  84. Hybrid Generative-Discriminative Visual Categorization
    Alex D. Holub, Max Welling, Pietro Perona · 2007 · International Journal of Computer Vision
  85. Basic-level categorization of intermediate complexity fragments reveals top-down effects of expertise in visual perception
    Assaf Harel, Shimon Ullman, D. Harari, Shlomo Bentin A · 2011 · Journal of Vision
  86. Mutual information of image fragments predicts categorization in humans: Electrophysiological and behavioral evidence
    Assaf Harel, Shimon Ullman, Boris Epshtein, Shlomo Bentin A · 2007 · Vision Research
  87. Visual Object Perception and Long-term Memory
    Thomas J. Palmeri, Michael J. Tarr · 2008 · Oxford University Press eBooks
  88. Perceptual expertise improves category detection in natural scenes
    Reshanne Reeder, Timo Stein, Marius V. Peelen · 2015 · Psychonomic Bulletin & Review
  89. Searching for Category-Consistent Features
    Chen-Ping Yu, Justin T. Maxfield, Gregory J. Zelinsky · 2016 · Psychological Science
  90. Regionally-specific adaptation dynamics in human object areas
    Sharon Gilaie‐Dotan, Yuval Nir, Rafael Malach · 2007 · NeuroImage
  91. Getting real — sensory processing of natural stimuli
    Wolfgang Einhäuser, Peter König B · 2010 · Current Opinion in Neurobiology
  92. Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
    Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour · 2017 · Scientific Reports
  93. Visually transforming artwork and guided imagery as a way to reduce work related stress: A quantitative pilot study
    Ephrat Huss, Orly Sarid · 2014 · The Arts in Psychotherapy
  94. Modeling guidance and recognition in categorical search: Bridging human and computer object detection
    Gregory J. Zelinsky, Y. Peng, Alex Berg, Dimitris Samaras · 2013 · Journal of Vision
  95. The influence of visual and auditory environments in parks on visitors’ landscape preference, emotional state, and perceived restorativeness
    Wenbo Li, Yang Liu · 2024 · Humanities and Social Sciences Communications
  96. A Systematic Review of Normative Studies Using Images of Common Objects
    Cristiane da Anunciação Souza, Margarida Vaz Garrido, Joana C. Carmo · 2020 · Frontiers in Psychology
  97. Dimensionality reduction based on ICA for regression problems
    Nojun Kwak, Chunghoon Kim, Hwangnam Kim · 2008 · Neurocomputing
  98. Two Routes to Face Perception: Evidence From Psychophysics and Computational Modeling
    Adrian Schwaninger, Janek S. Lobmaier, Christian Wallraven, Stephan Collishaw · 2009 · Cognitive Science
  99. Image statistics at the point of gaze during human navigation
    Constantin A. Rothkopf, Dana H. Ballard · 2009 · Visual Neuroscience
  100. Object detection in natural scenes: Independent effects of spatial and category-based attention
    Timo Stein, Marius V. Peelen · 2017 · Attention Perception & Psychophysics