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Karel Lenc
Karel Lenc
DeepMind
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Title
Cited by
Cited by
Year
Matconvnet: Convolutional neural networks for matlab
A Vedaldi, K Lenc
Proceedings of the 23rd ACM international conference on Multimedia, 689-692, 2015
35352015
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
27862022
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
14902023
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
V Balntas, K Lenc, A Vedaldi, K Mikolajczyk
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8732017
Skilful precipitation nowcasting using deep generative models of radar
S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ...
Nature 597 (7878), 672-677, 2021
7722021
Understanding image representations by measuring their equivariance and equivalence
K Lenc, A Vedaldi
International Journal of Computer Vision, pp 1–21, 2018
5912018
Understanding image representations by measuring their equivariance and equivalence
K Lenc, A Vedaldi
IEEE Conference on Computer Vision and Pattern Recognition, 2015
5912015
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
3582024
Learning covariant feature detectors
K Lenc, A Vedaldi
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
1802016
R-CNN minus R
K Lenc, A Vedaldi
British Machine Vision Conference 2015, 2015
1402015
A head-mounted device for recognizing text in natural scenes
C Merino-Gracia, K Lenc, M Mirmehdi
Camera-Based Document Analysis and Recognition: 4th International Workshop …, 2012
942012
Wxbs: Wide baseline stereo generalizations
D Mishkin, J Matas, M Perdoch, K Lenc
arXiv preprint arXiv:1504.06603, 2015
632015
Mikoł aj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan. Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in Neural Information Processing Systems 35, 23716-23736, 2022
612022
Large scale evaluation of local image feature detectors on homography datasets
K Lenc, A Vedaldi
British Machine Vision Conference 2018, 2018
402018
VLBenchmarks
K Lenc, V Gulshan, A Vedaldi
372012
A Few Things One Should Know About Feature Extraction, Description and Matching
K Lenc, J Matas, D Mishkin
CVWW 2014: Proceedings of the Computer Vision Winter Workshop 2014, 67-74, 2014
122014
Non-differentiable supervised learning with evolution strategies and hybrid methods
K Lenc, E Elsen, T Schaul, K Simonyan
arXiv preprint arXiv:1906.03139, 2019
92019
Representation of spatial transformations in deep neural networks
K Lenc
University of Oxford, 2017
22017
Learning non-differentiable weights of neural networks using evolutionary strategies
K Lenc, K Simonyan, T Schaul, EK Elsen
US Patent 11,676,035, 2023
12023
Evaluation and Improvements of Image Interest Regions Detectors and Descriptors
K Lenc
České vysoké učení technické v Praze, 2013
12013
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