Christopher Kanan, Ph.D.

2004-2006 Computer Science University of Southern California, Los Angeles, CA, United States 
 2007-2013 Computer Science and Engineering University of California, San Diego, La Jolla, CA 
 2013-2015 Jet Propulsion Laboratory California Institute of Technology, Pasadena, CA 
 2015- Chester F. Carlson Center for Imaging Science Rochester Institute of Technology, Rochester, NY, United States 
Computer Vision, Machine Learning, Object recognition, Neuromorphic algorithms, Theoretical neuroscience
"Christopher Kanan"
Cross-listing: Neurotree


Sign in to add mentor
Michael A. Arbib grad student 2005-2007 USC (Neurotree)
Garrison Cottrell grad student 2007-2013 UCSD (Neurotree)
 (In defense of brain-inspired cognitive models.)


Sign in to add trainee
Kushal Kafle grad student 2015- Rochester Institute of Technology (Neurotree)
Ronald Kemker grad student 2015-2018 Rochester Institute of Technology (Neurotree)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Roady R, Hayes TL, Kemker R, et al. (2020) Are open set classification methods effective on large-scale datasets? Plos One. 15: e0238302
Parisi GI, Kemker R, Part JL, et al. (2019) Continual lifelong learning with neural networks: A review. Neural Networks : the Official Journal of the International Neural Network Society. 113: 54-71
Birmingham E, Svärd J, Kanan C, et al. (2018) Exploring emotional expression recognition in aging adults using the Moving Window Technique. Plos One. 13: e0205341
Kanan C, Bseiso DN, Ray NA, et al. (2015) Humans have idiosyncratic and task-specific scanpaths for judging faces. Vision Research. 108: 67-76
Zhang MM, Choi J, Daniilidis K, et al. (2015) VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 2015: 10-16
Kanan C, Ray NA, Bseiso DNF, et al. (2014) Predicting an observer's task using multi-fixation pattern analysis Eye Tracking Research and Applications Symposium (Etra). 287-290
Kanan C. (2014) Fine-grained object recognition with Gnostic Fields 2014 Ieee Winter Conference On Applications of Computer Vision, Wacv 2014. 23-30
Khosla D, Huber DJ, Kanan C. (2014) A neuromorphic system for visual object recognition Biologically Inspired Cognitive Architectures. 8: 33-45
Kanan C. (2013) Recognizing sights, smells, and sounds with gnostic fields. Plos One. 8: e54088
Birmingham E, Meixner T, Iarocci G, et al. (2013) The moving window technique: a window into developmental changes in attention during facial emotion recognition. Child Development. 84: 1407-24
See more...