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Hugh Dennett

Researcher at Australian National University

Publications -  9
Citations -  474

Hugh Dennett is an academic researcher from Australian National University. The author has contributed to research in topics: Face perception & Cognition. The author has an hindex of 7, co-authored 9 publications receiving 425 citations. Previous affiliations of Hugh Dennett include NICTA.

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Journal ArticleDOI

The Cambridge Car Memory Test: A task matched in format to the Cambridge Face Memory Test, with norms, reliability, sex differences, dissociations from face memory, and expertise effects

TL;DR: The Cambridge Car Memory Test (CCMT) as discussed by the authors was matched in format to the established Cambridge Face Memory Test, requiring recognition of exemplars across view and lighting change, and results showed high reliability (Cronbach's alpha =.84) and a range of scores suitable both for normal-range individual-difference studies and, potentially, for diagnosis of impairment.
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Individual Differences in the Ability to Recognise Facial Identity Are Associated with Social Anxiety

TL;DR: Evidence that social anxiety is associated with recognition of face identity, across the population range of individual differences in recognition abilities is reported, for the first time.
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Face Aftereffects Predict Individual Differences in Face Recognition Ability

TL;DR: It is shown that in individuals within the normal range of face recognition abilities, there is an association between face memory ability and a figural face aftereffect that is argued to reflect the steepness of broadband-opponent neural response functions in underlying face-space.
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Face recognition impairments despite normal holistic processing and face space coding: Evidence from a case of developmental prosopagnosia

TL;DR: The case of S.P.P, a developmental prosopagnosic who demonstrated severe impairments in face memory and face perception, yet showed normal holistic processing and face space coding is presented, implying that normal holistic Processing and Face Space coding can be insufficient for good face recognition even when present in combination.
Proceedings ArticleDOI

Substituting depth for intensity and real-time phosphene rendering: Visual navigation under low vision conditions

TL;DR: Results for these experiments show that a depth-based representation is effective for navigation, and shows significant advantages over intensity-based approaches when overhanging obstacles are present.