[PDF] Top 20 Visual recognition: computational models and human psychophysics

Visual recognition: computational models and human psychophysics

... certain visual search tasks require minimal or no ...other visual tasks [17]; target detection does not become significantly more difficult when the number of distractors is increased [15, ...the ... See full document

166

A CAPTCHA model based on visual psychophysics: Using the brain to distinguish between human users and automated computer bots

... as human users and providing false information in order to abuse their service ...the human users and ...Character Recognition (OCR) techniques and thus, reinforces the need for developing a secure ... See full document

19

Exploiting Language Models for Visual Recognition

... Currently, human action recognition is popular and mostly studied in video using the Bag-of-Visual- Words method (Delaitre et ...local visual patches of, say, 24 by 24 pixels by 10 frames at ... See full document

11

Attention and awareness : visual psychophysics and aversive conditioning in humans

... between bistable percepts (i.e., freezing (Leopold et al., 2002)) and changing retinal location during rivalry (Blake et al., 2003) both prolong the dominance duration. In CFS, randomly generated Mondrians were replaced ... See full document

221

Image Based Human Action Recognition

... the Human pose from 2D images has always remained and is one of the most challenging aspects of computer science and computationally demanding problems in computer ...richer models with data-dependent ... See full document

7

Cascaded and thresholded processing in visual word recognition: does the Dual Route Cascaded model require a threshold?

... stage models, a threshold is reached in a processing unit when activation in that unit reaches its maximum value, which means that information processing occurring in that unit is completely ended; to exemplify, ... See full document

140

Embodied Visual Perception Models For Human Behavior Understanding

... Our model operates on frame pairs and it is not designed to process long video sequences, unlike 3D CNNs for action recognition [120, 121, 131, 24, 132, 133]. However, our DiMoFs model is explicitly designed to ... See full document

260

Urban Growth Prediction: A Review of Computational Models and Human Perceptions

... prediction models have been exten- sively studied with the overarching goal to assist in sustainable management of urban ...these models are not frequently included in the decision making ...existing ... See full document

33

Interactions of visual attention and object recognition : computational modeling, algorithms, and psychophysics

... But what is an object? A precise definition of “object,” without taking into account the purpose and context, is of course impossible. However, it is clear that we wish to capture the appearance of those lumps of matter ... See full document

147

Visual attention and object categorization: from psychophysics to computational models

... CATEGORIZATION MODELS units are primarily involved in decision, rather than ...to visual stimuli that were associated with non-visual categories such as good/bad tastes did not lead to a change in ... See full document

138

Quantum of Vision

... Lastly, active sensing may further improve the trade off between evidence accumula- tion cost and accuracy. We have so far assumed that the camera collects information passively for every pixel, whereas the camera could ... See full document

126

A computational model of observer stress

... major human intervention, including manually recognising and interpreting visual patterns (possibly with some support tools) of behaviour in observational ... See full document

262

Performance Evaluation and Study of Bag of Visual Words and Cascade Classifiers in Object Recognition

... 2) Visual Vocabulary: After the extraction of descriptors, the next step is to cluster descriptors using vector quantization technique. After describing each of the images inside a class with the feature ... See full document

5

Human Duration Perception Mechanisms in the Subsecond Range: Psychophysics and Electroencephalography Investigations

... of visual duration distortion in general rose with reference duration with an initial local peak around 225 msec followed by a dip around 375 msec until it saturated beyond 1000 msec, consistent with the signature ... See full document

109

The Reflected-Shifted-Truncated-Gamma Distribution for Negatively Skewed Survival Data with Application to Pediatric Nephrotic Syndrome

... facilitation to some degree for the target (Davis, 2003; Perry, Lupker & Davis, 2008). Thus, the absence of a processing cost in the fast priming task does not necessarily conflict with lexical competition ... See full document

103

Psycholinguistic studies of word morphology and their implications for models of the mental lexicon and lexical processing

... their recognition must involve rules for decomposing a whole regularly inflected word (WORKED) into parts (and their production entails rules for combining parts (WORK (base morpheme) + ED (affix) to form a whole ... See full document

50

Attention and binding in visual working memory: Two forms of attention and two kinds of buffer storage

... current models, but they differ as to its representational ...both models, and from others like them that regard working memory as the currently activated region of long-term ... See full document

14

Applying Computational Models of Spatial Prepositions to Visually Situated Dialog

... of computational models of spatial prepositions to visually situated dialog ...the visual context of a ...the models of prepositional semantics, and the other components in the ...new ... See full document

37