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Video super-resolution using motion compensation and classification-aided...
Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov: Video super-resolution using motion compensation and classification-aided fusion. SCCG 2008: 143-148
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Fast video super-resolution via classification.
Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov: Fast video super-resolution via classification. ICIP 2008: 349-352
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Edge-Directed Interpolation in a Bayesian Framework.
Karen Simonyan, Dmitriy S. Vatolin: Edge-Directed Interpolation in a Bayesian Framework. BMVC 2009: 1-10
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Immediate Structured Visual Search for Medical Images.
Karen Simonyan, Andrew Zisserman, Antonio Criminisi: Immediate Structured Visual Search for Medical Images. MICCAI (3) 2011: 288-296
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Immediate ROI Search for 3-D Medical Images.
Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman: Immediate ROI Search for 3-D Medical Images. MCBR-CDS 2012: 56-67
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Descriptor Learning Using Convex Optimisation.
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Descriptor Learning Using Convex Optimisation. ECCV (1) 2012: 243-256
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Deep Fisher Networks for Large-Scale Image Classification.
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Deep Fisher Networks for Large-Scale Image Classification. NIPS 2013: 163-171
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Fisher Vector Faces in the Wild.
Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman: Fisher Vector Faces in the Wild. BMVC 2013
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Large-scale learning of discriminative image representations.
Karen Simonyan: Large-scale learning of discriminative image representations. University of Oxford, UK, 2013
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Reading Text in the Wild with Convolutional Neural Networks.
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Reading Text in the Wild with Convolutional Neural Networks. CoRR abs/1412.1842 (2014)
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Efficient On-the-fly Category Retrieval using ConvNets and GPUs.
Ken Chatfield, Karen Simonyan, Andrew Zisserman: Efficient On-the-fly Category Retrieval using ConvNets and GPUs. CoRR abs/1407.4764 (2014)
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Synthetic Data and Artificial Neural Networks for Natural Scene Text...
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. CoRR abs/1406.2227 (2014)
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Two-Stream Convolutional Networks for Action Recognition in Videos.
Karen Simonyan, Andrew Zisserman: Two-Stream Convolutional Networks for Action Recognition in Videos. CoRR abs/1406.2199 (2014)
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Return of the Devil in the Details: Delving Deep into Convolutional Nets.
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR abs/1405.3531 (2014)
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Deep Inside Convolutional Networks: Visualising Image Classification Models...
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. ICLR (Workshop Poster) 2014
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Two-Stream Convolutional Networks for Action Recognition in Videos.
Karen Simonyan, Andrew Zisserman: Two-Stream Convolutional Networks for Action Recognition in Videos. NIPS 2014: 568-576
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Understanding Objects in Detail with Fine-Grained Attributes.
Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi...
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A Compact and Discriminative Face Track Descriptor.
Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: A Compact and Discriminative Face Track Descriptor. CVPR 2014: 1693-1700
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Return of the Devil in the Details: Delving Deep into Convolutional Nets.
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Return of the Devil in the Details: Delving Deep into Convolutional Nets. BMVC 2014
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Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture...
Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman: Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. ACCV (1) 2014: 538-552
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