Radar Detection Professors in Global

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Sankaran Iyer
University of New South Wales Australia
object detection
pedestrian detection
anomaly detection
computer vision
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Robin Tanamachi
Purdue University United States of America
radar data assimilation
doppler radar
dual-polarized radar
atmospheric radiometry
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Kamal Sarabandi
University of Michigan United States of America
microwave radar
remote sensing
millimeter-wave radar
synthetic aperture radar
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Guofei Gu
Texas A&M University United States of America
anomaly detection
intrusion detection
botnet detection
advanced persistent threat detection
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Allison Sekuler
McMaster University Canada
object recognition
face recognition
motion perception
visual perception
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Leif Eriksson
Chalmers University of Technology Sweden
radar remote sensing
remote sensing
synthetic aperture radar
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
face recognition
computer vision
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
computer vision
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Maria Amer
Concordia University Canada
object detection
object tracking
computer vision
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Timothy Kane
Pennsylvania State University United States of America
laser radar
remote sensing
optical remote sensing
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John Canny
University of California, Berkeley United States of America
edge detection
motion sensing
computer vision
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Isabel Cordero
Columbia University United States of America
ice penetrating radar
ground penetrating radar
remote sensing
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Jacco De Wit
Delft University of Technology Netherlands
radar target classification
innovative radar system concepts
radar micro-doppler signature characterization
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David Whitney
University of California, Berkeley United States of America
object recognition
motion perception
visual perception
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
computer vision
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
computer vision
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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
object activity recognition
computer vision
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Kavita Bala
Cornell University Netherlands
material recognition
visual search detection
computer vision
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Ali Zia
Australian National University Australia
remote sensing
pattern recognition
computer vision
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