Contact Information
Room 422, Wilson Hall
Vanderbilt University
Nashville, TN 37240
Lab Phone: (615) 322-2835
Email: connor.parde@vanderbilt.edu
Quick Bio
I am broadly interested in how high-level visual representations encode information about the visual world. Face recognition has been a common thread throughout my research as a mechanism for studying the recognition and discrimination of highly-similar stimuli. In studying these topics, I have leaned heavily on computational modeling and psychological methods as a way to compare both human- and machine-based visual processing. Looking ahead, I aim to continue leveraging state-of-the-art approaches from computer vision as tools for developing and testing novel hypotheses about how visual representations are formed in the human brain.
Publications
Parde, C. J., Strehle, V. E., Banerjee, V., Hu, Y., Cavazos, J. G., Castillo, C. D., & O'Toole, A. J. (2023). Twin identification over viewpoint change: A deep convolutional neural network surpasses humans. ACM Transactions on Applied Perception, 20(3), 1–15.
Journal Link
Parde, C. J., Colón, Y., Hill, M. Q., Castillo, C. D., Dhar, P., & O'Toole, A. J. (2021). Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition. Journal of Vision, 21(8), 15–15.
Journal Link