Visual Geometry Group

E366100

The Visual Geometry Group is a renowned computer vision research group at the University of Oxford known for pioneering deep convolutional neural network architectures such as VGGNet.

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Label Occurrences
Visual Geometry Group canonical 2

Statements (49)

Predicate Object
instanceOf academic research group
computer vision research group
research group
abbreviation VGG
affiliation University of Oxford
city Oxford
collaboratesWith DeepMind
Google Research
Microsoft Research
country United Kingdom
field artificial intelligence
computer vision
machine learning
focus developing state-of-the-art vision algorithms
fundamental visual recognition problems
hasMember Andrea Vedaldi
Andrew Zisserman
James Philbin
João F. Henriques
Karen Simonyan
Maxime Oquab
Mac Aoidh
surface form: Oisin Mac Aodha

Relja Arandjelović
Will Maddern
knownFor ImageNet classification models
VGG
surface form: VGG-16

VGG
surface form: VGG-19

VGG
surface form: VGGNet

deep convolutional neural networks
large-scale image recognition
visual geometry methods
language English
notableWork Very Deep Convolutional Networks for Large-Scale Image Recognition
partOf Department of Engineering Science, University of Oxford
publishesIn IEEE Computer Society Conference on Computer Vision and Pattern Recognition
surface form: CVPR

European Conference on Computer Vision
surface form: ECCV

IEEE International Conference on Computer Vision
surface form: ICCV

ICLR
IJCV
NeurIPS
IEEE Transactions on Pattern Analysis and Machine Intelligence
surface form: PAMI
researchArea 3D vision
deep learning
image classification
image segmentation
object detection
representation learning
sector higher education
website https://www.robots.ox.ac.uk/~vgg/

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VGG developedBy Visual Geometry Group
Andrew Zisserman hasAffiliation Visual Geometry Group