Matthew Q. Hill

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Integrating Single-Unit and Pattern Codes in DCNNs Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2020 .

Matthew Q. Hill, Alice J. O'Toole, David White, 2015 .

Perceptual expertise in forensic facial image comparison | NIST

Matthew Q. Hill, Alice J. O'Toole, David White, 2015 .

Hierarchical Representations of Viewpoint and Illumination in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018 .

Facial Expression Information in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2019, Journal of Vision.

Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined pdf

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2020, ArXiv.

Human and algorithm performance on the PaSC face Recognition Challenge

Matthew Q. Hill, Alice J. O'Toole, P. Jonathon Phillips, 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Deep convolutional neural networks in the face of caricature

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018, Nature Machine Intelligence.

Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed pdf

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018, ArXiv.

Face and Image Representation in Deep CNN Features

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Density of Top-Layer Codes in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2019, Journal of Vision.

Face Familiarity in Deep Convolutional Neural Networks

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018 .

Comparing human and deep convolutional neural network face-matching performance on disguised face images

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2017 .

Body talk

Matthew Q. Hill, Alice J. O'Toole, Michael J. Black, 2016, ACM Trans. Graph..

Face representations in deep convolutional neural networks

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2017 .

Automatic Recognition Systems and Human Computer Interaction in Face Matching

Matthew Q. Hill, Eilidh Noyes, E. Noyes, 2021, Forensic Face Matching.

Face Space Representations in Deep Convolutional Neural Networks

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018, Trends in Cognitive Sciences.

First Impressions of Personality Traits From Body Shapes

Connor J. Parde, Matthew Q. Hill, A. O'Toole, 2018, Psychological science.

Perceptual expertise in forensic facial image comparison

Matthew Q. Hill, Carina A. Hahn, A. O'Toole, 2015, Proceedings of the Royal Society B: Biological Sciences.

Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces

Matthew Q. Hill, Michael J. Black, Carina A. Hahn, 2016, Psychological science.

Face recognition ability does not predict person identification performance: using individual data in the interpretation of group results

Matthew Q. Hill, A. O'Toole, E. Noyes, 2018, Cognitive Research: Principles and Implications.

Seeing through disguise: Getting to know you with a deep convolutional neural network

Connor J. Parde, Matthew Q. Hill, R. Jenkins, 2021, Cognition.

Deep convolutional neural networks in the face of caricature

Connor J. Parde, Matthew Q. Hill, V. Blanz, 2019, Nature Machine Intelligence.

Face recognition ability does not predict person identification performance: using individual data in the interpretation of group results

Matthew Q. Hill, E. Noyes, A. O’Toole, 2018, Cognitive research: principles and implications.

P2L: Predicting Transfer Learning for Images and Semantic Relations

Matthew Q. Hill, John R. Kender, Bishwaranjan Bhattacharjee, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition

Connor J. Parde, Matthew Q. Hill, C. Castillo, 2021, Journal of vision.

Improving Transferability of Deep Neural Networks pdf

Matthew Q. Hill, Bishwaranjan Bhattacharjee, Parijat Dube, 2018, Domain Adaptation for Visual Understanding.