Karel Lenc

According to our database, Karel Lenc authored at least 16 papers between 2011 and 2024.

Collaborative distances:

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

2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.

CoRR, 2024

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

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

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

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

2020

$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors.

Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk

IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019

Understanding Image Representations by Measuring Their Equivariance and Equivalence.

Karel Lenc, Andrea Vedaldi

Int. J. Comput. Vis., 2019

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

Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan

CoRR, 2019

2018

Large scale evaluation of local image feature detectors on homography datasets.

Karel Lenc, Andrea Vedaldi

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Representation of spatial transformations in deep neural networks.

Karel Lenc

PhD thesis, 2017

HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors.

Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learning Covariant Feature Detectors.

Karel Lenc, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

MatConvNet: Convolutional Neural Networks for MATLAB.

Andrea Vedaldi, Karel Lenc

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

WxBS: Wide Baseline Stereo Generalizations.

Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc

Proceedings of the British Machine Vision Conference 2015, 2015

R-CNN minus R.

Karel Lenc, Andrea Vedaldi

Proceedings of the British Machine Vision Conference 2015, 2015

2011

A Head-Mounted Device for Recognizing Text in Natural Scenes.

Carlos Merino-Gracia, Karel Lenc, Majid Mirmehdi

Proceedings of the Camera-Based Document Analysis and Recognition, 2011