John Wilder
Part-Time Lecturer
Research interests
- Human and computer vision
- Cognitive neuroscience
- Neural networks
Education
- PhD in Cognitive Psychology, Rutgers University
- MS in Computer Science, Rutgers University
- BA in Computer Science and Psychology, St. John’s University
Biography
John Wilder is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University. He earned his bachelor’s in computer science and psychology from St. John’s University, and both his master’s in computer science and PhD in cognitive psychology from Rutgers University.
He has been published in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) and the Cognition Vision Journal of Vision Attention, Perception and Psychophysics.
He is also currently a research associate at the University of Toronto’s Department of Psychology.
Outside of work, Wilder enjoys camping, hiking, canoeing, geocaching, and playing board games.
Recent publications
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Scene Categorization from Contours: Medial Axis Based Salience Measures
Citation: Rezanejad, M., Downs, G., Wilder, J., Walther, D. B., Jepson, A., Dickinson, S., & Siddiqi, K. (2019). Scene categorization from contours: Medial axis based salience measures. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 4116-4124). -
Local contour symmetry facilitates scene categorization
Citation: Wilder, J., Rezanejad, M., Dickinson, S., Siddiqi, K., Jepson, A., & Walther, D. B. (2019). Local contour symmetry facilitates scene categorization. Cognition, 182, 307-317. -
Mid-level feature contributions to category-specific gaze guidance
Citation: Damiano, C., Wilder, J., & Walther, D. B. (2019). Mid-level feature contributions to category-specific gaze guidance. Attention, Perception, & Psychophysics, 81(1), 35-46.