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
View ArticleFast video super-resolution via classification.
Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov: Fast video super-resolution via classification. ICIP 2008: 349-352
View ArticleEdge-Directed Interpolation in a Bayesian Framework.
Karen Simonyan, Dmitriy S. Vatolin: Edge-Directed Interpolation in a Bayesian Framework. BMVC 2009: 1-10
View ArticleImmediate Structured Visual Search for Medical Images.
Karen Simonyan, Andrew Zisserman, Antonio Criminisi: Immediate Structured Visual Search for Medical Images. MICCAI (3) 2011: 288-296
View ArticleImmediate 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
View ArticleDescriptor Learning Using Convex Optimisation.
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman: Descriptor Learning Using Convex Optimisation. ECCV (1) 2012: 243-256
View ArticleDeep 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
View ArticleFisher Vector Faces in the Wild.
Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman: Fisher Vector Faces in the Wild. BMVC 2013
View ArticleLarge-scale learning of discriminative image representations.
Karen Simonyan: Large-scale learning of discriminative image representations. University of Oxford, UK, 2013
View ArticleReading 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)
View ArticleEfficient 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)
View ArticleSynthetic 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)
View ArticleTwo-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)
View ArticleReturn 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)
View ArticleDeep 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
View ArticleTwo-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
View ArticleUnderstanding 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...
View ArticleA 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
View ArticleReturn 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
View ArticleDeep 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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