Vision Science Photons To Phenomenology

By Jessika Weiss. 2016

697 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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Citations in the corpus

Learning Features by Watching Objects Move (2016, background): “To do so, they may rely on the Gestalt principle of common fate [34, 47]: pixels that move together tend to belong together.”
Playing for Benchmarks (2017, background): “…is believed to be a compound process that involves recognizing objects, estimating their three-dimensional layout in the environment, tracking their motion and the observer’s own motion through time, and integrating this information into a predictive model that supports planning and action [48].”
Pose Induction for Novel Object Categories (2015, background): “Motivated by Palmer’s experiments which demonstrate common canonical frames for similar categories [27], we reason over cross-category pose - our work can be thought of as a natural extension in the current paradigm shift of pose prediction from instances/models to categories.”
Hierarchical Image Saliency Detection on Extended CSSD (2016, methodology): “REGARDING saliency, each existing method mainlyfocuses on one of the following tasks – i.e., eye-fixation prediction, image-based salient object detection and objectness estimation.”
Amodal Completion and Size Constancy in Natural Scenes (2015, background): ““Almost nothing is visible in its entirety, yet almost everything is perceived as a whole and complete” [22].”
Generalized Boundaries from Multiple Image Interpretations (2012, background): “True image boundaries tend to display certain grouping properties, such as proximity, continuity and smoothness, as observed by Gestalt theorists [31].”
Towards Universal Object Detection by Domain Attention (2019, background): “First, feature-based attention is well known to be used in mammalian vision as a mechanism to adapt perception to different tasks and environments [61, 37, 52, 18, 60].”
Deep convolutional networks do not classify based on global object shape (2018, background): “The present paper focuses on the perception of shapes, the most important cue for object recognition [15].”
Describing Common Human Visual Actions in Images (2015, methodology): “In order to label visual actions we will use the verbs that come readily to mind to a native English speaker, a concept akin to entry-level categorization for objects [20].”
Logo design in marketing communications: Brand logo complexity moderates exposure effects on brand recognition and brand attitude (2016, background): “Whereas feature complexity evokes low levels of visual processing in the primary visual cortex (Palmer, 1999 in Pieters, Wedel, and Batra 2010) and hurts advertising attention and likability, design complexity positively affects advertising comprehensibility and liking.”
A Haar wavelet-based perceptual similarity index for image quality assessment (2016, methodology): “This preprocessing approximates the low-pass characteristics of the optical part of the human visual system [31] by a simple model.”
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability (2021, background): “Shape has been shown to allow a human perceiver to quickly predict more facts than other visual properties (Palmer, 1999).”
Semantic Amodal Segmentation (2015, background): “Amodal perception [18] has been studied extensively in the psychophysics literature, for a review see [41, 29].”
Underwater image enhancement via extended multi-scale Retinex (2017, methodology): “The color encoding mechanism for CIELAB color space is similar to the human visual system, which also consists of one luminance channel and two chromatic channels [ 32 , 33 ].”
Self-Supervised Scene De-Occlusion (2020, background): “ing the directly visible regions, as well as amodal perception [1, 2, 3], i.”
Sparse Recovery of Hyperspectral Signal from Natural RGB Images (2016, background): “This problem is perhaps expressed best by what is known as metamerism [29] – the phenomenon of lights that elicit the same response from the sensory system but having different power distributions over the sensed spectral segment.”
Object Perception-Oxford Research Encyclopedia of Psychology (2020, background): “…perception had its origins in the 19th-century theo ry of structuralism, espoused by Wilhelm Wundt in Germany and Edward Titchener in the United States, which was largely consistent with the views of the British empiricists, such as George Berkeley, David Hume, and John Locke (see Palmer, 1999).”