Karel Lenc
Karel Lenc
DeepMind
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TitleCited byYear
Matconvnet: Convolutional neural networks for matlab
A Vedaldi, K Lenc
Proceedings of the 23rd ACM international conference on Multimedia, 689-692, 2015
24532015
Understanding image representations by measuring their equivariance and equivalence
K Lenc, A Vedaldi
International Journal of Computer Vision, pp 1–21, 2018
1962018
Understanding image representations by measuring their equivariance and equivalence
K Lenc, A Vedaldi
IEEE Conference on Computer Vision and Pattern Recognition, 2015
1962015
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
1412017
R-CNN minus R
K Lenc, A Vedaldi
British Machine Vision Conference 2015, 2015
792015
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
762011
Learning covariant feature detectors
K Lenc, A Vedaldi
European conference on computer vision, 100-117, 2016
592016
Wxbs: Wide baseline stereo generalizations
D Mishkin, J Matas, M Perdoch, K Lenc
arXiv preprint arXiv:1504.06603, 2015
272015
VLBenchmarks
K Lenc, V Gulshan, A Vedaldi
192012
Large scale evaluation of local image feature detectors on homography datasets
K Lenc, A Vedaldi
British Machine Vision Conference 2018, 2018
92018
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
62014
VLFeat. org
A Vedaldi, B Fulkerson, K Lenc
52008
Evaluation and Improvements of Image Interest Regions Detectors and Descriptors
K Lenc
České vysoké učení technické v Praze, 2013
12013
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods
K Lenc, E Elsen, T Schaul, K Simonyan
arXiv preprint arXiv:1906.03139, 2019
2019
Representation of spatial transformations in deep neural networks
K Lenc
University of Oxford, 2017
2017
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Articles 1–15