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
26782015
Understanding image representations by measuring their equivariance and equivalence
K Lenc, A Vedaldi
International Journal of Computer Vision, pp 1–21, 2018
2322018
Understanding image representations by measuring their equivariance and equivalence
K Lenc, A Vedaldi
IEEE Conference on Computer Vision and Pattern Recognition, 2015
2322015
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
1882017
R-CNN minus R
K Lenc, A Vedaldi
British Machine Vision Conference 2015, 2015
882015
A head-mounted device for recognizing text in natural scenes
C Merino-Gracia, K Lenc, M Mirmehdi
International Workshop on Camera-Based Document Analysis and Recognition, 29-41, 2011
782011
Learning covariant feature detectors
K Lenc, A Vedaldi
European conference on computer vision, 100-117, 2016
662016
Wxbs: Wide baseline stereo generalizations
D Mishkin, J Matas, M Perdoch, K Lenc
arXiv preprint arXiv:1504.06603, 2015
312015
VLBenchmarks
K Lenc, V Gulshan, A Vedaldi
202012
Large scale evaluation of local image feature detectors on homography datasets
K Lenc, A Vedaldi
British Machine Vision Conference 2018, 2018
112018
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
82014
VLFeat. org
A Vedaldi, B Fulkerson, K Lenc
52008
Non-differentiable supervised learning with evolution strategies and hybrid methods
K Lenc, E Elsen, T Schaul, K Simonyan
arXiv preprint arXiv:1906.03139, 2019
32019
Representation of spatial transformations in deep neural networks
K Lenc
University of Oxford, 2017
22017
Evaluation and Improvements of Image Interest Regions Detectors and Descriptors
K Lenc
České vysoké učení technické v Praze, 2013
12013
LEARNING NON-DIFFERENTIABLE WEIGHTS OF NEURAL NETWORKS USING EVOLUTIONARY STRATEGIES
K Lenc, K Simonyan, T Schaul, EK Elsen
US Patent App. 16/751,169, 2020
2020
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Articles 1–16