Christopher Kanan, Ph.D.

Affiliations: 
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 
Area:
Computer Vision, Machine Learning, Object recognition, Neuromorphic algorithms, Theoretical neuroscience
Website:
http://chriskanan.com
Google:
"Christopher Kanan"
Mean distance: 14.57 (cluster 29)
 
SNBCP
Cross-listing: Computational Biology Tree

Parents

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Michael A. Arbib grad student 2005-2007 USC
Garrison Cottrell grad student 2007-2013 UCSD
 (In defense of brain-inspired cognitive models.)
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Publications

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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
Kanan C. (2012) Turing: beyond the original concept. Nature. 483: 275
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