Particle Tracking Professors in Global

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Bastian Leibe
RWTH Aachen University Germany
tracking
object detection
machine learning
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Sankaran Iyer
University of New South Wales Australia
tracking
object detection
pedestrian detection
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Du Huynh
University of Western Australia Australia
visual tracking
object detection
machine learning
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Robert Nishida
University of Waterloo Canada
particle transport
emissions measurement
particulate matter
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Valentina Vecchio
University of Manchester United Kingdom
particle physics
experimental particle physics
machine learning
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Heather Gray
University of California, Berkeley United States of America
particle physics
track reconstruction algorithms
machine learning
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Haruko Wainwright
Massachusetts Institute of Technology United States of America
radiation monitoring
environmental monitoring
machine learning
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Anna Stasto
Pennsylvania State University United States of America
particle physics
particle astrophysics
theoretical particles & fields
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Abhirup Dikshit
University of New South Wales Australia
remote sensing
environmental monitoring
machine learning
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Klaus Maier-hein
German Cancer Research Center Germany
object detection
machine learning
probabilistic modeling
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Sebastian Ellis
King's College London United Kingdom
theoretical particle physics
astroparticle physics
quantum sensing
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Koreen Millard
Carleton University Canada
remote sensing
machine learning
ecosystem monitoring
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Devis Tuia
École Polytechnique Fédérale de Lausanne Switzerland
remote sensing
machine learning
earth observation
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Roberto Lujan Rocha
University of Western Australia Australia
remote sensing
machine learning
earth observation
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William Umboh
University of Melbourne Australia
molecular modeling
genome sequencing
machine learning
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Jon Wang
University of Twente Netherlands
remote sensing
machine learning
earth observation
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Arnick Abdollahi
Australian National University Australia
remote sensing
environmental monitoring
earth observation
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Maria Amer
Concordia University Canada
object tracking
object detection
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Michael Felsberg
Linköping University Sweden
tracking
object detection
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Adam Bekit
Johns Hopkins University United States of America
object tracking
machine learning
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Lars Hammarstrand
Chalmers University of Technology Sweden
object tracking
machine learning
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