What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Visual perception
Patrick Cavanagh mostly deals with Artificial intelligence, Computer vision, Optics, Visual perception and Communication.
Patrick Cavanagh combines subjects such as Stimulus, Illusion, Perception and Pattern recognition with his study of Artificial intelligence.
His study in Computer vision is interdisciplinary in nature, drawing from both Depth perception, Adaptation and Visual processing.
His research investigates the connection with Optics and areas like Motion which intersect with concerns in Optical illusion, Geometry and Square.
His research in Visual perception intersects with topics in Perceptual illusion, Cognitive psychology, Cognition and Binocular vision.
The various areas that Patrick Cavanagh examines in his Communication study include Orientation, Tracking, Visual search and Psychophysics.
His most cited work include:
- The capacity of visual short-term memory is set both by visual information load and by number of objects (986 citations)
- Attentional resolution and the locus of visual awareness (823 citations)
- The spatial resolution of visual attention (579 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Computer vision, Perception, Cognitive psychology and Communication are his primary areas of study.
His Artificial intelligence research includes themes of Illusion and Pattern recognition.
In Computer vision, he works on issues like Saccade, which are connected to Saccadic masking.
His work carried out in the field of Perception brings together such families of science as Stimulus, Visual field and Eye movement.
Patrick Cavanagh interconnects Percept, Visual processing and Cognition in the investigation of issues within Cognitive psychology.
The concepts of his Communication study are interwoven with issues in Psychophysics and Gaze.
He most often published in these fields:
- Artificial intelligence (44.18%)
- Computer vision (37.89%)
- Perception (39.74%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (44.18%)
- Perception (39.74%)
- Computer vision (37.89%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Perception, Computer vision, Cognitive psychology and Illusion.
Patrick Cavanagh has researched Artificial intelligence in several fields, including Certainty, Communication and Pattern recognition.
The study incorporates disciplines such as Psychophysics and Gaze in addition to Communication.
Patrick Cavanagh interconnects Saccade, Eye movement and Stimulus in the investigation of issues within Perception.
His research integrates issues of Visual attention and Masking in his study of Computer vision.
His research in Cognitive psychology intersects with topics in Identity, Percept, Visual processing and Facial recognition system.
Between 2013 and 2021, his most popular works were:
- Dissociation between the Perceptual and Saccadic Localization of Moving Objects (50 citations)
- Within-Hemifield Competition in Early Visual Areas Limits the Ability to Track Multiple Objects with Attention (48 citations)
- Variations in crowding, saccadic precision, and spatial localization reveal the shared topology of spatial vision (40 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Visual perception
His main research concerns Saccade, Eye movement, Perception, Artificial intelligence and Stimulus.
His studies in Saccade integrate themes in fields like Motion perception and Foveal.
His work carried out in the field of Eye movement brings together such families of science as Visual Objects and Communication.
His Communication research incorporates themes from Gaze, Visual search, Object, Psychophysics and Pattern recognition.
His Visual perception study, which is part of a larger body of work in Perception, is frequently linked to Consumption, bridging the gap between disciplines.
His Artificial intelligence research focuses on Computer vision and how it connects with Spatial perception and Cued speech.
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