By Associate Professor David White

Preprints

Dunn JD; de Lima Varela VP; Popovic B; Summersby S; White D; Miellet S, 2025, Super-recognisers sample visual information of superior computational value for facial recognition, http://dx.doi.org/10.31219/osf.io/3h5uj_v2

Dunn JD; White D; Sutherland C; Miller EJ; Steward BA; Dawel A, 2025, Super-Recognisers can Detect AI-hyperrealism, http://dx.doi.org/10.31234/osf.io/fwjsb_v2

White D; Phillips J, 2025, The State of Modeling Face Processing in Humans with Deep Learning, http://dx.doi.org/10.31234/osf.io/hfjmq_v2

White D, 2024, What is special about super-recognisers?, http://dx.doi.org/10.31234/osf.io/sd95m

Dunn JD; White D; Sutherland C; Miller EJ; Steward BA; Dawel A, 2024, AI-generated face detection: Why super-recognisers succeed where others fail, http://dx.doi.org/10.31234/osf.io/fwjsb

Dunn JD; Towler A; Popovic B; de Courcey A; Lee N-Y; Kemp R; Miellet S; White D, 2024, Flexible use of facial features supports face identity processing, http://dx.doi.org/10.31234/osf.io/c7yfu

Popovic B; Dunn JD; Towler A; White D, 2024, Normative face recognition ability test scores vary across online participant pools, http://dx.doi.org/10.31234/osf.io/52k7w

Dunn JD; White D; Sutherland C; Miller EJ; Steward BA; Dawel A, 2024, Super-Recognisers can Detect AI-hyperrealism, http://dx.doi.org/10.31234/osf.io/fwjsb_v1

White D; Phillips J, 2024, The State of Modeling Face Processing in Humans with Deep Learning, http://dx.doi.org/10.31234/osf.io/hfjmq

White D; Phillips J, 2024, The State of Modeling Face Processing in Humans with Deep Learning, http://dx.doi.org/10.31234/osf.io/hfjmq_v1

Dunn JD; de Lima Varela VP; Popovic B; Summersby S; White D; Miellet S, 2023, Superior computational value of face information sampled by super-recognizers, http://dx.doi.org/10.31219/osf.io/3h5uj

Dunn JD; de Lima Varela VP; Popovic B; Summersby S; White D; Miellet S, 2023, Superior computational value of face information sampled by super-recognizers, http://dx.doi.org/10.31219/osf.io/3h5uj_v1

de Lima Varela VP; Towler A; Kemp R; White D, 2022, Looking at faces in the wild, http://dx.doi.org/10.31234/osf.io/v7df6

Towler A; Dunn JD; Martínez SC; Moreton R; Eklöf F; Ruifrok A; Kemp R; White D, 2021, Diverse routes to expertise in facial recognition, http://dx.doi.org/10.31234/osf.io/fmznh

Dunn JD; de Lima Varela VP; Nicholls VI; Papinutto M; White D; Miellet S, 2021, Face information sampling in super-recognizers, http://dx.doi.org/10.31234/osf.io/z2k4a

White D; Guilbert D; de Lima Varela VP; Jenkins R; Burton M, 2021, GFMT2: A psychometric measure of face matching ability, http://dx.doi.org/10.31234/osf.io/a3fh4

Carragher DJ; Towler A; Mileva VR; White D; Hancock P, 2021, Masked face identification is improved by diagnostic feature training, http://dx.doi.org/10.31234/osf.io/e9fq3

White D; Wayne T; de Lima Varela VP, 2021, Partitioning natural face image variability emphasises within-identity over between-identity representation for understanding accurate recognition, http://dx.doi.org/10.31234/osf.io/w58k3

Smith HMJ; Andrews S; Baguley T; Colloff MF; Davis JP; White D; Flowe HD, 2020, Performance of Typical and Superior Face Recognisers on a Novel Interactive Face Matching Procedure, http://dx.doi.org/10.31234/osf.io/kbm2g

Towler A; White D; Kemp R, 2020, Can face identification ability be trained? Evidence for two routes to expertise, http://dx.doi.org/10.31234/osf.io/g7qfd

White D; Towler A; Kemp R, 2020, Understanding professional expertise in unfamiliar face matching, http://dx.doi.org/10.31234/osf.io/z2ugp

Dunn JD; Summersby S; Towler A; Davis JP; White D, 2020, UNSW Face Test: A screening tool for super-recognizers, http://dx.doi.org/10.31234/osf.io/k7mf6

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