Karel Lenc

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Feature Detectors

Top Venues

ECCV Workshops (3)

Publications

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.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR (2024)
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)
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
Flamingo: a Visual Language Model for Few-Shot Learning. 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)
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)
Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk
$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR (2019)
Karel Lenc, Andrea Vedaldi
Understanding Image Representations by Measuring Their Equivariance and Equivalence. Int. J. Comput. Vis. 127 (5) (2019)
Karel Lenc, Andrea Vedaldi
Large scale evaluation of local image feature detectors on homography datasets. CoRR (2018)
Karel Lenc, Andrea Vedaldi
Large scale evaluation of local image feature detectors on homography datasets. BMVC (2018)
Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. CVPR (2017)
Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors. CoRR (2017)
Karel Lenc, Andrea Vedaldi
Learning Covariant Feature Detectors. CoRR (2016)
Karel Lenc, Andrea Vedaldi
Learning Covariant Feature Detectors. ECCV Workshops (3) (2016)
Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc
WxBS: Wide Baseline Stereo Generalizations. CoRR (2015)
Karel Lenc, Andrea Vedaldi
R-CNN minus R. BMVC (2015)
Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc
WxBS: Wide Baseline Stereo Generalizations. BMVC (2015)
Karel Lenc, Andrea Vedaldi
R-CNN minus R. CoRR (2015)
Andrea Vedaldi, Karel Lenc
MatConvNet: Convolutional Neural Networks for MATLAB. ACM Multimedia (2015)
Karel Lenc, Andrea Vedaldi
Understanding image representations by measuring their equivariance and equivalence. CVPR (2015)
Andrea Vedaldi, Karel Lenc
MatConvNet - Convolutional Neural Networks for MATLAB. CoRR (2014)
Karel Lenc, Andrea Vedaldi
Understanding image representations by measuring their equivariance and equivalence. CoRR (2014)
Carlos Merino-Gracia, Karel Lenc, Majid Mirmehdi
A Head-Mounted Device for Recognizing Text in Natural Scenes. CBDAR (2011)