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Thomas Kinsman
Thomas Kinsman
Lecturing Professor of Computer Science
Verified email at cis.rit.edu
Title
Cited by
Cited by
Year
Ego-motion compensation improves fixation detection in wearable eye tracking
T Kinsman, K Evans, G Sweeney, T Keane, J Pelz
Proceedings of the Symposium on Eye Tracking Research and Applications, 221-224, 2012
322012
SemantiCode: Using content similarity and database-driven matching to code wearable eyetracker gaze data
DF Pontillo, TB Kinsman, JB Pelz
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010
312010
Analyzing complex gaze behavior in the natural world
JB Pelz, TB Kinsman, KM Evans
Human Vision and Electronic Imaging XVI 7865, 332-342, 2011
152011
Color is not a metric space implications for pattern recognition, machine learning, and computer vision
T Kinsman, M Fairchild, J Pelz
2012 Western New York Image Processing Workshop, 37-40, 2012
142012
Hierarchical image clustering for analyzing eye tracking videos
T Kinsman, P Bajorski, JB Pelz
2010 Western New York Image Processing Workshop, 58-61, 2010
92010
Methods for assisting with object recognition in image sequences and devices thereof
JB Pelz, TB Kinsman, DF Pontillo, SM Munn, NR Harrington, BBK Hsieh
US Patent 9,785,835, 2017
72017
Simulating refraction and reflection of ocular surfaces for algorithm validation in outdoor mobile eye tracking videos
TB Kinsman, J Pelz
Proceedings of the Symposium on Eye Tracking Research and Applications, 311-314, 2014
72014
Using road markers as fiducials for automatic speed estimation in road videos
DD Kamat, TB Kinsman
2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2017
42017
Location by parts: model generation and feature fusion for mobile eye pupil tracking under challenging lighting
TB Kinsman, JB Pelz
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 695-700, 2012
32012
A deeper understanding of luminance and chrominance for computer vision
TB Kinsman
2018 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2018
12018
Vehicle Movement and Speed Estimation using a Cost Effective Camera
D Kamat
Rochester Institute of Technology, 2016
12016
Towards a subject-independent adaptive pupil tracker for automatic eye tracking calibration using a mixture model
TB Kinsman, JB Pelz
2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, 141-146, 2011
12011
Semi-Supervised Pattern Recognition and Machine Learning for Eye-Tracking
TB Kinsman
Rochester Institute of Technology, 2015
2015
A note on the challenge of feature selection for image understanding
TB Kinsman, J Pelz
2013 IEEE Western New York Image Processing Workshop (WNYIPW), 26-30, 2013
2013
Efficient tagging of visual fixations from mobile eye trackers using hierarchical clustering for batch processing
T Kinsman, P Bajorski, JB Pelz
Journal of Vision 10 (15), 43-43, 2010
2010
Perceptual Cost Function for Motion Detection and Object Tracking
TB Kinsman, RL Canosa
IEEE WNY Image Processing, Conference on, 2007
2007
Simulating the Exponential Rise and Fall of Fads and Rumors
S Garg, TB Kinsman
STAYING SANE IN QUARANTINE
TB Kinsman
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