Sequential Detection Professors in Global

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Olga Veksler
University of Waterloo Canada
machine learning
deep learning
computer vision
salient object detection
image segmentation
semantic segmentation
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Sankaran Iyer
University of New South Wales Australia
object detection
pedestrian detection
anomaly detection
deep learning
computer vision
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
machine learning
fraud detection
pattern discovery
outlier detection
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
machine learning
computer vision
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John Oommen
Carleton University Canada
statistical pattern recognition
pattern recognition
syntactic pattern recognition
stochastic learning
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Josien Pluim
Eindhoven University of Technology Belgium
image detection
machine learning
deep learning
image segmentation
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Christian Maack
Aalborg University Denmark
anomaly detection
fault detection
machine learning
stochastic modelling
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine learning
computer vision
machine perception
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Maria Amer
Concordia University Canada
object detection
deep learning
computer vision
object tracking
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Divya Sharma
York University Canada
pattern recognition
machine learning
deep learning
computer vision
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Kin-choong Yow
University of Regina Canada
pattern recognition
machine learning
deep learning
computer vision
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
machine learning
deep learning
computer vision
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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
machine learning
deep learning
computer vision
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George Azzopardi
University of Groningen Netherlands
pattern recognition
machine learning
deep learning
predictive analysis
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
machine learning
deep learning
computer vision
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
3d object detection
deep learning
computer vision
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Atsuto Maki
KTH Royal Institute of Technology Sweden
machine learning
motion object recognition
deep learning
computer vision
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Rakesh Mishra
University of New Brunswick Canada
machine learning
ai-based object detection
deep learning
computer vision
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Nicolas Le Roux
University of Montreal Canada
machine learning
deep learning
computer vision
statistical modeling
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Ekta Vats
Uppsala University Sweden
machine learning
deep learning
optical character recognition
computer vision
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Seyran Khademi
Delft University of Technology Netherlands
machine learning
deep learning
computer vision
visual similarity learning
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