Karel Lenc - RankMe

24 papers A* 4A 3Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR 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.
2022	A*	`conf`	Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS 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
2022	J	`jnl`	Flamingo: a Visual Language Model for Few-Shot Learning. CoRR 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
2021	J	`jnl`	Skilful precipitation nowcasting using deep generative models of radar. Nat. 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
2021	J	`jnl`	Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR 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
2020	J	`jnl`	$\mathbb {H}$H-Patches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk
2019	J	`jnl`	Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan
2019	J	`jnl`	Understanding Image Representations by Measuring Their Equivariance and Equivalence. Int. J. Comput. Vis. Karel Lenc, Andrea Vedaldi
2018	A	`conf`	Large scale evaluation of local image feature detectors on homography datasets. BMVC Karel Lenc, Andrea Vedaldi
2018	J	`jnl`	Large scale evaluation of local image feature detectors on homography datasets. CoRR Karel Lenc, Andrea Vedaldi
2017	A*	`conf`	HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors. CVPR Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
2017	J	`jnl`	HPatches: A benchmark and evaluation of handcrafted and learned local descriptors. CoRR Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
2017	—	`—`	Representation of spatial transformations in deep neural networks. Karel Lenc
2016	—	`conf`	Learning Covariant Feature Detectors. ECCV Workshops (3) Karel Lenc, Andrea Vedaldi
2016	J	`jnl`	Learning Covariant Feature Detectors. CoRR Karel Lenc, Andrea Vedaldi
2015	A*	`conf`	MatConvNet: Convolutional Neural Networks for MATLAB. ACM Multimedia Andrea Vedaldi, Karel Lenc
2015	A	`conf`	R-CNN minus R. BMVC Karel Lenc, Andrea Vedaldi
2015	J	`jnl`	R-CNN minus R. CoRR Karel Lenc, Andrea Vedaldi
2015	A*	`conf`	Understanding image representations by measuring their equivariance and equivalence. CVPR Karel Lenc, Andrea Vedaldi
2015	A	`conf`	WxBS: Wide Baseline Stereo Generalizations. BMVC Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc
2015	J	`jnl`	WxBS: Wide Baseline Stereo Generalizations. CoRR Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc
2014	J	`jnl`	MatConvNet - Convolutional Neural Networks for MATLAB. CoRR Andrea Vedaldi, Karel Lenc
2014	J	`jnl`	Understanding image representations by measuring their equivariance and equivalence. CoRR Karel Lenc, Andrea Vedaldi
2011	—	`conf`	A Head-Mounted Device for Recognizing Text in Natural Scenes. CBDAR Carlos Merino-Gracia, Karel Lenc, Majid Mirmehdi