| 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 | 3696 | 2022 |
| Matconvnet: Convolutional neural networks for matlab A Vedaldi, K Lenc Proceedings of the 23rd ACM international conference on Multimedia, 689-692, 2015 | 3564 | 2015 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2464 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 972 | 2024 |
| 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 | 929 | 2017 |
| 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 | 875 | 2021 |
| Understanding image representations by measuring their equivariance and equivalence K Lenc, A Vedaldi International Journal of Computer Vision, pp 1–21, 2018 | 625 | 2018 |
| Understanding image representations by measuring their equivariance and equivalence K Lenc, A Vedaldi IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 625 | 2015 |
| Learning covariant feature detectors K Lenc, A Vedaldi Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 186 | 2016 |
| R-CNN minus R K Lenc, A Vedaldi British Machine Vision Conference 2015, 2015 | 141 | 2015 |
| 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 | 95 | 2012 |
| 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 | 90 | 2022 |
| Wxbs: Wide baseline stereo generalizations D Mishkin, J Matas, M Perdoch, K Lenc arXiv preprint arXiv:1504.06603, 2015 | 63 | 2015 |
| Large scale evaluation of local image feature detectors on homography datasets K Lenc, A Vedaldi British Machine Vision Conference 2018, 2018 | 41 | 2018 |
| VLBenchmarks K Lenc, V Gulshan, A Vedaldi | 37 | 2012 |
| 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 | 12 | 2014 |
| Non-differentiable supervised learning with evolution strategies and hybrid methods K Lenc, E Elsen, T Schaul, K Simonyan arXiv preprint arXiv:1906.03139, 2019 | 9 | 2019 |
| Language model for processing a multi-mode query input JB Alayrac, J Donahue, K Lenc, K Simonyan, MKC Reynolds, ... US Patent App. 18/141,337, 2023 | 2 | 2023 |
| Representation of spatial transformations in deep neural networks K Lenc University of Oxford, 2017 | 2 | 2017 |
| Evaluation and Improvements of Image Interest Regions Detectors and Descriptors K Lenc České vysoké učení technické v Praze, 2013 | 1 | 2013 |
Andrea VedaldiUniversity of OxfordΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα robots.ox.ac.uk
