Visual objects in context

By Moshe Bar. Nature Reviews Neuroscience, 2004

1,662 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bf12813b219ce0730f123bbd3e9c9227d0934f0b

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Citations in the corpus

The perception and categorisation of emotional stimuli: A review (2010, background): “…can be conceived as an interaction of bottom-up sensory signals that are processed and integrated by the sensory pathways, and top-down knowledge systems already present in the observer, which are used to structure and understand the new incoming information (Bar, 2004, 2007; Yantis, 1992).”
Multisensory context portends object memory. (2014, critical): “These findings provide an additional important challenge to the longstanding belief that recognition is best when encoding and retrieval contexts are identical [2,3].”
How Do Expectations Shape Perception? (2018, background): “Knowledge of the current (high-level) context can also impact on perception [30,31].”
Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications (2013, background): “Visual hierarchy, with which the environment and objects around us are arranged is a well documented theoretical framework [Pal77, Nav77, LRW99, KW79, Bar04].”
The COGs (context, object, and goals) in multisensory processing (2016, background): “Such mechanisms range from fine-grained changes in stimulus features (e.g. their colour or position; Bar 2004) to the observer’s external or internal states (e.g. studying specific material in a particular setting; Baddeley et al. 2009).”
Act-In: An integrated view of memory mechanisms (2014, methodology): “That is why more recent models of perception accept the existence of top–down effects (Bar, 2004; Bar et al., 2006) which facilitate this correspondence.”
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View (2017, background): “Whether it is by using prior experience or by leveraging visual cues [2, 24], people are adept at reasoning about what may lie beyond the field of view and make use of that information for building a coherent perception of the world [15].”
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery (2019, background): “The usefulness of contexts in image understanding has been verified in both psychological and empirical studies [33], [34].”
Affective response to architecture – investigating human reaction to spaces with different geometry (2017, background): “Visual perception refers to different kinds of processing that allow us to see the form, colour, position and distance of objects in the visual field and recognize objects (Rosenzweig, Leiman, and Breedlove 1999; Bar 2004).”
The proactive brain: memory for predictions (2009, background): “Torralba 2001; Torralba & Oliva 2003; Bar 2004), thereby activating the representations of objects and relationships that are common to that specific context (context frames; Bar & Ullman 1996; Bar 2004), using a”
Simulation, situated conceptualization, and prediction (2009, background): “Bar (2004), for example, found that perceiving isolated objects activates neural systems that represent their environmental contexts.”
Modeling Search for People in 900 Scenes: A combined source model of eye guidance (2009, neutral): “Categorical scene information informs a viewer of which objects are likely to be in the scene and where (Bar, 2004; Biederman, Mezzanotte, & Rabinowitz, 1982; de Graef, Christiaens, & d’Ydewalle, 1990; Friedman, 1979; Henderson, Weeks, & Hollingworth, 1999; Loftus & Mackworth, 1978).”
Building the gist of a scene: the role of global image features in recognition. (2006, background): “In a related vein, Bar (Bar and Aminoff, 2003; Bar, 2004) found specific cortical regions (a network relating regions in the parahippocampal region and the retrosplenial cortex) involved in the analysis of the context of objects.”
What does the retrosplenial cortex do? (2009, background): “There has also been considerable interest in the RSC's role in processing scene”