3d Object Detection Professors in Global

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Xuelian Cheng
Monash University Australia
object detection
3d reconstruction
3d scene understanding
computer vision
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Sankaran Iyer
University of New South Wales Australia
object detection
computer vision
pedestrian detection
anomaly detection
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Yi Fang
New York University Tandon School of Engineering United States of America
3d computer vision
3d deep learning
3d vision-based ai
3d meta-learning
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
3d shape analysis
computer vision
face recognition
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Julian Kooij
Delft University of Technology Netherlands
3d object detection
computer vision
visual localization
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Sanja Fidler
University of Toronto Canada
object detection
object segmentation
computer vision
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Maria Amer
Concordia University Canada
object detection
object tracking
computer vision
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
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Doris Tsao
University of California, Berkeley United States of America
object recognition
object segmentation
visual object representation
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Du Huynh
University of Western Australia Australia
object detection
computer vision
pattern recognition
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Sanja Fidler
University of Toronto Canada
3d vision
3d reconstruction
computer vision
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Sanja Fidler
University of Toronto Canada
3d vision
3d reconstruction
computer vision
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Computer Vision
RWTH Aachen University Germany
visual object recognition
3d reconstruction
computer vision
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Changming Sun
University of New South Wales Australia
feature detection
3d reconstruction
computer vision
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Iason Kokkinos
University College London United Kingdom
3d human understanding
3d geometric representations
computer vision
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Georgia Gkioxari
University of California, Berkeley United States of America
3d perception
computer vision
2d perception
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Sisi Zlatanova
University of New South Wales Australia
3d spatial analysis
3d gis
3d indoor modelling
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Tiberiu Popa
Concordia University Canada
3d
3d modeling
4d acquisition
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Angela Dai
Technical University of Munich Germany
3d understanding
3d reconstruction
generative 3d deep learning
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Song Zhang
Purdue University United States of America
3d video processing
computer vision
multiscale superfast 3d optical sensing
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Nizar Bouguila
Concordia University Canada
3d graphics
computer vision
pattern recognition
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