Karen Simonyan

According to our database, Karen Simonyan authored at least 74 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Flamingo: a Visual Language Model for Few-Shot Learning.

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

CoRR, 2022

Training Compute-Optimal Large Language Models.

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

CoRR, 2022

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

Unified Scaling Laws for Routed Language Models.

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, 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

CoRR, 2022

An empirical analysis of compute-optimal large language model training.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flamingo: a Visual Language Model for Few-Shot Learning.

Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unified Scaling Laws for Routed Language Models.

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

Proceedings of the International Conference on Machine Learning, 2022

Improving Language Models by Retrieving from Trillions of Tokens.

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

Proceedings of the International Conference on Machine Learning, 2022

2021

Skilful precipitation nowcasting using deep generative models of radar.

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

Nat., 2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

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 J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving

CoRR, 2021

Skillful Precipitation Nowcasting using Deep Generative Models of Radar.

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

CoRR, 2021

Variable-rate discrete representation learning.

Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan

CoRR, 2021

High-Performance Large-Scale Image Recognition Without Normalization.

Andy Brock, Soham De, Samuel L. Smith, Karen Simonyan

Proceedings of the 38th International Conference on Machine Learning, 2021

Practical Real Time Recurrent Learning with a Sparse Approximation.

Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves

Proceedings of the 9th International Conference on Learning Representations, 2021

End-to-end Adversarial Text-to-Speech.

Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan

Proceedings of the 9th International Conference on Learning Representations, 2021

Machine Translation Decoding beyond Beam Search.

Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

This time with feeling: learning expressive musical performance.

Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan

Neural Comput. Appl., 2020

Improved protein structure prediction using potentials from deep learning.

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

Nat., 2020

Mastering Atari, Go, chess and shogi by planning with a learned model.

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

Nat., 2020

AlgebraNets.

Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen

CoRR, 2020

A Practical Sparse Approximation for Real Time Recurrent Learning.

Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves

CoRR, 2020

Transformation-based Adversarial Video Prediction on Large-Scale Data.

Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan

CoRR, 2020

Evolving Normalization-Activation Layers.

Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Off-Policy Actor-Critic with Shared Experience Replay.

Simon Schmitt, Matteo Hessel, Karen Simonyan

Proceedings of the 37th International Conference on Machine Learning, 2020

High Fidelity Speech Synthesis with Adversarial Networks.

Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan

Proceedings of the 8th International Conference on Learning Representations, 2020

Fast Sparse ConvNets.

Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

LOGAN: Latent Optimisation for Generative Adversarial Networks.

Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap

CoRR, 2019

Efficient Video Generation on Complex Datasets.

Aidan Clark, Jeff Donahue, Karen Simonyan

CoRR, 2019

Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods.

Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan

CoRR, 2019

Hierarchical Autoregressive Image Models with Auxiliary Decoders.

Jeffrey De Fauw, Sander Dieleman, Karen Simonyan

CoRR, 2019

The StreetLearn Environment and Dataset.

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

CoRR, 2019

Large Scale Adversarial Representation Learning.

Jeff Donahue, Karen Simonyan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DARTS: Differentiable Architecture Search.

Hanxiao Liu, Karen Simonyan, Yiming Yang

Proceedings of the 7th International Conference on Learning Representations, 2019

Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Andrew Brock, Jeff Donahue, Karen Simonyan

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Kickstarting Deep Reinforcement Learning.

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

CoRR, 2018

Learning to Navigate in Cities Without a Map.

Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The challenge of realistic music generation: modelling raw audio at scale.

Sander Dieleman, Aäron van den Oord, Karen Simonyan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Parallel WaveNet: Fast High-Fidelity Speech Synthesis.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

Efficient Neural Audio Synthesis.

Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Search with MCTSnets.

Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver

Proceedings of the 35th International Conference on Machine Learning, 2018

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu

Proceedings of the 35th International Conference on Machine Learning, 2018

Hierarchical Representations for Efficient Architecture Search.

Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Mastering the game of Go without human knowledge.

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

Nat., 2017

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

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

CoRR, 2017

Population Based Training of Neural Networks.

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

CoRR, 2017

StarCraft II: A New Challenge for Reinforcement Learning.

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

CoRR, 2017

The Kinetics Human Action Video Dataset.

Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman

CoRR, 2017

Video Pixel Networks.

Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

Proceedings of the 34th International Conference on Machine Learning, 2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders.

Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Reading Text in the Wild with Convolutional Neural Networks.

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Int. J. Comput. Vis., 2016

Neural Machine Translation in Linear Time.

Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu

CoRR, 2016

WaveNet: A Generative Model for Raw Audio.

Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu

Proceedings of the 9th ISCA Speech Synthesis Workshop, 2016

2015

Very Deep Convolutional Networks for Large-Scale Image Recognition.

Karen Simonyan, Andrew Zisserman

Proceedings of the 3rd International Conference on Learning Representations, 2015

Deep Structured Output Learning for Unconstrained Text Recognition.

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the 3rd International Conference on Learning Representations, 2015

Spatial Transformer Networks.

Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Natural Neural Networks.

Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Learning Local Feature Descriptors Using Convex Optimisation.

Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the 2nd International Conference on Learning Representations, 2014

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition.

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

CoRR, 2014

Two-Stream Convolutional Networks for Action Recognition in Videos.

Karen Simonyan, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

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 Saphra, Sammy Mohamed

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Compact and Discriminative Face Track Descriptor.

Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Return of the Devil in the Details: Delving Deep into Convolutional Nets.

Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2014

Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos.

Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2014, 2014

Efficient On-the-fly Category Retrieval Using ConvNets and GPUs.

Ken Chatfield, Karen Simonyan, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Large-scale learning of discriminative image representations.

Karen Simonyan

PhD thesis, 2013

Deep Fisher Networks for Large-Scale Image Classification.

Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Fisher Vector Faces in the Wild.

Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2013

2012

Immediate ROI Search for 3-D Medical Images.

Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman

Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

Descriptor Learning Using Convex Optimisation.

Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Immediate Structured Visual Search for Medical Images.

Karen Simonyan, Andrew Zisserman, Antonio Criminisi

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2009

Edge-Directed Interpolation in a Bayesian Framework.

Karen Simonyan, Dmitriy S. Vatolin

Proceedings of the British Machine Vision Conference, 2009

2008

Video super-resolution using motion compensation and classification-aided fusion.

Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov

Proceedings of the Spring Conference on Computer Graphics, 2008

Fast video super-resolution via classification.

Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov

Proceedings of the International Conference on Image Processing, 2008