Search Results - "Tsotsos, John K."

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  1. 1

    40 years of cognitive architectures: core cognitive abilities and practical applications by Kotseruba, Iuliia, Tsotsos, John K.

    Published in The Artificial intelligence review (01-01-2020)
    “…In this paper we present a broad overview of the last 40 years of research on cognitive architectures. To date, the number of existing architectures has…”
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  2. 2

    50 Years of object recognition: Directions forward by Andreopoulos, Alexander, Tsotsos, John K.

    Published in Computer vision and image understanding (01-08-2013)
    “…•We survey the literature on passive and active object recognition during the last 50years.•We survey some of the best performing object recognition…”
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  3. 3

    Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI by Andreopoulos, Alexander, Tsotsos, John K.

    Published in Medical image analysis (01-06-2008)
    “…We present a framework for the analysis of short axis cardiac MRI, using statistical models of shape and appearance. The framework integrates temporal and…”
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  4. 4

    The psychophysics of human three-dimensional active visuospatial problem-solving by Solbach, Markus D., Tsotsos, John K.

    Published in Scientific reports (15-11-2023)
    “…Our understanding of how visual systems detect, analyze and interpret visual stimuli has advanced greatly. However, the visual systems of all animals do much…”
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  5. 5

    Rapid visual categorization is not guided by early salience-based selection by Tsotsos, John K, Kotseruba, Iuliia, Wloka, Calden

    Published in PloS one (24-10-2019)
    “…The current dominant visual processing paradigm in both human and machine research is the feedforward, layered hierarchy of neural-like processing elements…”
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  6. 6

    Correction: Rapid visual categorization is not guided by early salience-based selection by Tsotsos, John K, Kotseruba, Iuliia, Wloka, Calden

    Published in PloS one (11-12-2019)
    “…[This corrects the article DOI: 10.1371/journal.pone.0224306.]…”
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  7. 7

    Attention to visual motion suppresses neuronal and behavioral sensitivity in nearby feature space by Yoo, Sang-Ah, Martinez-Trujillo, Julio C, Treue, Stefan, Tsotsos, John K, Fallah, Mazyar

    Published in BMC biology (05-10-2022)
    “…Abstract Background Feature-based attention prioritizes the processing of the attended feature while strongly suppressing the processing of nearby ones. This…”
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  8. 8

    Complexity Level Analysis Revisited: What Can 30 Years of Hindsight Tell Us about How the Brain Might Represent Visual Information? by Tsotsos, John K

    Published in Frontiers in psychology (09-08-2017)
    “…Much has been written about how the biological brain might represent and process visual information, and how this might inspire and inform machine vision…”
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  9. 9

    Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice by Rasouli, Amir, Tsotsos, John K.

    “…One of the major challenges that autonomous cars are facing today is driving in urban environments. To make it a reality, autonomous vehicles require the…”
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  10. 10

    Feed-forward visual processing suffices for coarse localization but fine-grained localization in an attention-demanding context needs feedback processing by Yoo, Sang-Ah, Tsotsos, John K, Fallah, Mazyar

    Published in PloS one (26-09-2019)
    “…It is well known that simple visual tasks, such as object detection or categorization, can be performed within a short period of time, suggesting the…”
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  11. 11

    Histogram of Oriented Uniform Patterns for robust place recognition and categorization by Fazl-Ersi, Ehsan, Tsotsos, John K

    “…This paper presents a novel context-based scene recognition method that enables mobile robots to recognize previously observed topological places in known…”
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  12. 12

    When We Study the Ability to Attend, What Exactly Are We Trying to Understand? by Tsotsos, John

    Published in Journal of imaging (31-07-2022)
    “…When we study the human ability to attend, what exactly do we seek to understand? It is not clear what the answer might be to this question. There is still so…”
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  13. 13

    Cognitive programs: software for attention's executive by Tsotsos, John K, Kruijne, Wouter

    Published in Frontiers in psychology (25-11-2014)
    “…What are the computational tasks that an executive controller for visual attention must solve? This question is posed in the context of the Selective Tuning…”
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  14. 14

    The roles of endstopped and curvature tuned computations in a hierarchical representation of 2D shape by Rodríguez-Sánchez, Antonio J, Tsotsos, John K

    Published in PloS one (09-08-2012)
    “…That shape is important for perception has been known for almost a thousand years (thanks to Alhazen in 1083) and has been a subject of study ever since by…”
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  15. 15

    A Computational Learning Theory of Active Object Recognition Under Uncertainty by Andreopoulos, Alexander, Tsotsos, John K.

    Published in International journal of computer vision (01-01-2013)
    “…We present some theoretical results related to the problem of actively searching a 3D scene to determine the positions of one or more pre-specified objects. We…”
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  16. 16

    Incremental Learning Through Deep Adaptation by Rosenfeld, Amir, Tsotsos, John K.

    “…Given an existing trained neural network, it is often desirable to learn new capabilities without hindering performance of those already learned. Existing…”
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  17. 17

    The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions by Yoo, Sang-Ah, Tsotsos, John K, Fallah, Mazyar

    Published in Frontiers in neuroscience (08-10-2018)
    “…The Selective Tuning model of visual attention (Tsotsos, 1990) has proposed that the focus of attention is surrounded by an inhibitory zone, eliciting a…”
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  18. 18

    Attentional modulation and selection--an integrated approach by Rothenstein, Albert L, Tsotsos, John K

    Published in PloS one (25-06-2014)
    “…Various models of the neural mechanisms of attentional modulation in the visual cortex have been proposed. In general, these models assume that an 'attention'…”
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  19. 19

    Revisiting active perception by Bajcsy, Ruzena, Aloimonos, Yiannis, Tsotsos, John K.

    Published in Autonomous robots (01-02-2018)
    “…Despite the recent successes in robotics, artificial intelligence and computer vision, a complete artificial agent necessarily must include active perception…”
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  20. 20

    The selective tuning model of attention: psychophysical evidence for a suppressive annulus around an attended item by Cutzu, Florin, Tsotsos, John K

    Published in Vision research (Oxford) (2003)
    “…The selective tuning model [Artif. Intell. 78 (1995) 507] is a neurobiologically plausible neural network model of visual attention. One of its key predictions…”
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