Karen Simonyan

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 80

Top Venues

CoRR

ICML

ICLR

NeurIPS

University of Oxford, UK (PHD)

Education History

University of Oxford, UK

PHD

Publications

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
Hierarchical Perceiver. CoRR (2022)
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
Improving Language Models by Retrieving from Trillions of Tokens. ICML (2022)
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre
Training Compute-Optimal Large Language Models. CoRR (2022)
Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
Unified Scaling Laws for Routed Language Models. CoRR (2022)
Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
Unified Scaling Laws for Routed Language Models. ICML (2022)
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan
Flamingo: a Visual Language Model for Few-Shot Learning. CoRR (2022)
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre
An empirical analysis of compute-optimal large language model training. NeurIPS (2022)
Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR (2021)
Andy Brock, Soham De, Samuel L. Smith, Karen Simonyan
High-Performance Large-Scale Image Recognition Without Normalization. ICML (2021)
Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed
Skilful precipitation nowcasting using deep generative models of radar. Nat. 597 (7878) (2021)
Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan
High-Performance Large-Scale Image Recognition Without Normalization. CoRR (2021)
Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
Machine Translation Decoding beyond Beam Search. EMNLP (1) (2021)
Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
Machine Translation Decoding beyond Beam Search. CoRR (2021)
Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
Practical Real Time Recurrent Learning with a Sparse Approximation. ICLR (2021)
Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
End-to-end Adversarial Text-to-Speech. ICLR (2021)
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan
Variable-rate discrete representation learning. CoRR (2021)
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
Improving language models by retrieving from trillions of tokens. CoRR (2021)
Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
A Practical Sparse Approximation for Real Time Recurrent Learning. CoRR (2020)
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le
Evolving Normalization-Activation Layers. CoRR (2020)
Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan
Fast Sparse ConvNets. CVPR (2020)
Simon Schmitt, Matteo Hessel, Karen Simonyan
Off-Policy Actor-Critic with Shared Experience Replay. ICML (2020)
Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis
Improved protein structure prediction using potentials from deep learning. Nat. 577 (7792) (2020)
Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen
AlgebraNets. CoRR (2020)
Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le
Evolving Normalization-Activation Layers. NeurIPS (2020)
Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan
High Fidelity Speech Synthesis with Adversarial Networks. ICLR (2020)
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
This time with feeling: learning expressive musical performance. Neural Comput. Appl. 32 (4) (2020)
Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan
Transformation-based Adversarial Video Prediction on Large-Scale Data. CoRR (2020)
Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
End-to-End Adversarial Text-to-Speech. CoRR (2020)
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver
Mastering Atari, Go, chess and shogi by planning with a learned model. Nat. 588 (7839) (2020)
Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR (2019)
Aidan Clark, Jeff Donahue, Karen Simonyan
Efficient Video Generation on Complex Datasets. CoRR (2019)
Andrew Brock, Jeff Donahue, Karen Simonyan
Large Scale GAN Training for High Fidelity Natural Image Synthesis. ICLR (2019)
Jeff Donahue, Karen Simonyan
Large Scale Adversarial Representation Learning. NeurIPS (2019)
Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
The StreetLearn Environment and Dataset. CoRR (2019)
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. CoRR (2019)
Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan
Fast Sparse ConvNets. CoRR (2019)
Jeff Donahue, Karen Simonyan
Large Scale Adversarial Representation Learning. CoRR (2019)
Jeffrey De Fauw, Sander Dieleman, Karen Simonyan
Hierarchical Autoregressive Image Models with Auxiliary Decoders. CoRR (2019)
Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan
High Fidelity Speech Synthesis with Adversarial Networks. CoRR (2019)
Hanxiao Liu, Karen Simonyan, Yiming Yang
DARTS: Differentiable Architecture Search. ICLR (Poster) (2019)
Simon Schmitt, Matteo Hessel, Karen Simonyan
Off-Policy Actor-Critic with Shared Experience Replay. CoRR (2019)
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap
LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR (2019)
Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami
Kickstarting Deep Reinforcement Learning. CoRR (2018)
Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. ICML (2018)
Sander Dieleman, Aäron van den Oord, Karen Simonyan
The challenge of realistic music generation: modelling raw audio at scale. NeurIPS (2018)
Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML (2018)
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
Efficient Neural Audio Synthesis. ICML (2018)
Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. CoRR (2018)
Sander Dieleman, Aäron van den Oord, Karen Simonyan
The challenge of realistic music generation: modelling raw audio at scale. CoRR (2018)
Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
Learning to Search with MCTSnets. ICML (2018)
Andrew Brock, Jeff Donahue, Karen Simonyan
Large Scale GAN Training for High Fidelity Natural Image Synthesis. CoRR (2018)
Hanxiao Liu, Karen Simonyan, Yiming Yang
DARTS: Differentiable Architecture Search. CoRR (2018)
Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan
This Time with Feeling: Learning Expressive Musical Performance. CoRR (2018)
Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
Learning to Navigate in Cities Without a Map. CoRR (2018)
Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
Learning to Navigate in Cities Without a Map. NeurIPS (2018)
Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
Learning to Search with MCTSnets. CoRR (2018)
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu
Efficient Neural Audio Synthesis. CoRR (2018)
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) (2018)
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy P. Lillicrap, Karen Simonyan, Demis Hassabis
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. CoRR (2017)
Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML (2017)
Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
Video Pixel Networks. ICML (2017)
Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John P. Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy P. Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing
StarCraft II: A New Challenge for Reinforcement Learning. CoRR (2017)
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
Hierarchical Representations for Efficient Architecture Search. CoRR (2017)
Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR (2017)
Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR (2017)
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis
Mastering the game of Go without human knowledge. Nat. 550 (7676) (2017)
Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu
Population Based Training of Neural Networks. CoRR (2017)
Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman
The Kinetics Human Action Video Dataset. CoRR (2017)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Reading Text in the Wild with Convolutional Neural Networks. Int. J. Comput. Vis. 116 (1) (2016)
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
WaveNet: A Generative Model for Raw Audio. SSW (2016)
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
WaveNet: A Generative Model for Raw Audio. CoRR (2016)
Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
Video Pixel Networks. CoRR (2016)
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu
Neural Machine Translation in Linear Time. CoRR (2016)
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu
Natural Neural Networks. NIPS (2015)
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu
Natural Neural Networks. CoRR (2015)
Karen Simonyan, Andrew Zisserman
Very Deep Convolutional Networks for Large-Scale Image Recognition. ICLR (2015)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Deep Structured Output Learning for Unconstrained Text Recognition. ICLR (2015)
Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
Spatial Transformer Networks. NIPS (2015)
Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
Spatial Transformer Networks. CoRR (2015)
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR (2014)
Ken Chatfield, Karen Simonyan, Andrew Zisserman
Efficient On-the-fly Category Retrieval using ConvNets and GPUs. CoRR (2014)
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Learning Local Feature Descriptors Using Convex Optimisation. IEEE Trans. Pattern Anal. Mach. Intell. 36 (8) (2014)
Karen Simonyan, Andrew Zisserman
Two-Stream Convolutional Networks for Action Recognition in Videos. NIPS (2014)
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 Saphra, Sammy Mohamed
Understanding Objects in Detail with Fine-Grained Attributes. CVPR (2014)
Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
A Compact and Discriminative Face Track Descriptor. CVPR (2014)
Karen Simonyan, Andrew Zisserman
Two-Stream Convolutional Networks for Action Recognition in Videos. CoRR (2014)
Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. ACCV (1) (2014)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Reading Text in the Wild with Convolutional Neural Networks. CoRR (2014)
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. ICLR (Workshop Poster) (2014)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. CoRR (2014)
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Return of the Devil in the Details: Delving Deep into Convolutional Nets. BMVC (2014)
Ken Chatfield, Karen Simonyan, Andrew Zisserman
Efficient On-the-fly Category Retrieval Using ConvNets and GPUs. ACCV (1) (2014)
Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman
Fisher Vector Faces in the Wild. BMVC (2013)
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Deep Fisher Networks for Large-Scale Image Classification. NIPS (2013)
Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman
Immediate ROI Search for 3-D Medical Images. MCBR-CDS (2012)
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Descriptor Learning Using Convex Optimisation. ECCV (1) (2012)
Karen Simonyan, Andrew Zisserman, Antonio Criminisi
Immediate Structured Visual Search for Medical Images. MICCAI (3) (2011)
Karen Simonyan, Dmitriy S. Vatolin
Edge-Directed Interpolation in a Bayesian Framework. BMVC (2009)
Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov
Fast video super-resolution via classification. ICIP (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Karen Simonyan