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 | 33 | 2012 |
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 | 33 | 2010 |
Analyzing complex gaze behavior in the natural world JB Pelz, TB Kinsman, KM Evans Human Vision and Electronic Imaging XVI 7865, 332-342, 2011 | 15 | 2011 |
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 | 14 | 2012 |
Hierarchical image clustering for analyzing eye tracking videos T Kinsman, P Bajorski, JB Pelz 2010 Western New York Image Processing Workshop, 58-61, 2010 | 9 | 2010 |
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 | 7 | 2017 |
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 | 7 | 2014 |
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 | 4 | 2017 |
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 | 3 | 2012 |
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 | 1 | 2018 |
Vehicle Movement and Speed Estimation using a Cost Effective Camera D Kamat Rochester Institute of Technology, 2016 | 1 | 2016 |
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 | 1 | 2011 |
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 | | |