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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Kristen Grauman
University of Texas at Austin United States of America
machine learning
visual recognition
deep learning
computer vision
machine perception
object activity recognition
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Changming Sun
University of New South Wales Australia
feature detection
deep learning
computer vision
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Ying Wu
Northwestern University United States of America
pattern recognition
statistical 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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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
machine learning
deep learning
computer vision
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Jiangning Song
Monash University Australia
pattern recognition
deep learning
computer vision
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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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Divya Sharma
York University 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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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine learning
computer vision
machine perception
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George Azzopardi
University of Groningen Netherlands
pattern recognition
machine learning
deep learning
predictive analysis
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Ekta Vats
Uppsala University Sweden
machine learning
deep learning
optical character recognition
computer vision
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John Doe
University of Wisconsin–Madison United States of America
machine learning
deep learning
computer vision
predictive modeling
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Nicolas Le Roux
University of Montreal Canada
machine learning
deep learning
computer vision
statistical modeling
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Maria Amer
Concordia University Canada
object detection
deep learning
computer vision
object tracking
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Seyran Khademi
Delft University of Technology Netherlands
machine learning
deep learning
computer vision
visual similarity learning
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Nazim Khan
University of Western Australia Australia
statistical computing
statistical model selection
stochastic modelling
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Shan Raza
University of Warwick United Kingdom
pattern recognition
deep learning
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Anil Bharath
Imperial College London United Kingdom
pattern recognition
machine learning
deep learning
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Arash Saboori
Umeå University Sweden
pattern recognition
deep learning
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