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Karel Lenc
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2020 – today
- 2024
- [i11]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 abs/2403.05530 (2024) - 2022
- [c9]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 - [i10]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 abs/2204.14198 (2022) - 2021
- [j3]Suman V. Ravuri
, Karel Lenc
Skilful precipitation nowcasting using deep generative models of radar. Nat. 597(7878): 672-677 (2021) - [i9]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 abs/2104.00954 (2021) - 2020
- [j2]Vassileios Balntas, Karel Lenc
$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2825-2841 (2020)
2010 – 2019
- 2019
- [j1]Karel Lenc
Understanding Image Representations by Measuring Their Equivariance and Equivalence. Int. J. Comput. Vis. 127(5): 456-476 (2019) - [i8]Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan:
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR abs/1906.03139 (2019) - 2018
- [c8]Karel Lenc, Andrea Vedaldi:
Large scale evaluation of local image feature detectors on homography datasets. BMVC 2018: 122 - [i7]Karel Lenc, Andrea Vedaldi:
Large scale evaluation of local image feature detectors on homography datasets. CoRR abs/1807.07939 (2018) - 2017
- [b1]Karel Lenc:
Representation of spatial transformations in deep neural networks. University of Oxford, UK, 2017 - [c7]Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk:
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. CVPR 2017: 3852-3861 - [i6]Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk:
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors. CoRR abs/1704.05939 (2017) - 2016
- [c6]Karel Lenc
Learning Covariant Feature Detectors. ECCV Workshops (3) 2016: 100-117 - [i5]Karel Lenc, Andrea Vedaldi:
Learning Covariant Feature Detectors. CoRR abs/1605.01224 (2016) - 2015
- [c5]Karel Lenc
R-CNN minus R. BMVC 2015: 5.1-5.12 - [c4]Dmytro Mishkin
WxBS: Wide Baseline Stereo Generalizations. BMVC 2015: 12.1-12.12 - [c3]Karel Lenc, Andrea Vedaldi:
Understanding image representations by measuring their equivariance and equivalence. CVPR 2015: 991-999 - [c2]Andrea Vedaldi, Karel Lenc
MatConvNet: Convolutional Neural Networks for MATLAB. ACM Multimedia 2015: 689-692 - [i4]Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc:
WxBS: Wide Baseline Stereo Generalizations. CoRR abs/1504.06603 (2015) - [i3]Karel Lenc, Andrea Vedaldi:
R-CNN minus R. CoRR abs/1506.06981 (2015) - 2014
- [i2]Karel Lenc, Andrea Vedaldi:
Understanding image representations by measuring their equivariance and equivalence. CoRR abs/1411.5908 (2014) - [i1]Andrea Vedaldi, Karel Lenc:
MatConvNet - Convolutional Neural Networks for MATLAB. CoRR abs/1412.4564 (2014) - 2011
- [c1]Carlos Merino-Gracia, Karel Lenc
A Head-Mounted Device for Recognizing Text in Natural Scenes. CBDAR 2011: 29-41
Coauthor Index
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