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Bernardino Romera-Paredes

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities


May 30, 2019
Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger

* 25 pages, 15 figures 

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A Probabilistic U-Net for Segmentation of Ambiguous Images


Oct 29, 2018
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger

* 11 pages for the main paper, 28 pages including appendix. 5 figures in the main paper, 18 figures in total, Advances in Neural Information Processing Systems (NIPS), 2018 

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Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy


Sep 12, 2018
Stanislav Nikolov, Sam Blackwell, Ruheena Mendes, Jeffrey De Fauw, Clemens Meyer, Cían Hughes, Harry Askham, Bernardino Romera-Paredes, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Kevin Sullivan, DeepMind Radiographer Consortium, Hugh Montgomery, Geraint Rees, Ricky Sharma, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger


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Prototypical Priors: From Improving Classification to Zero-Shot Learning


Apr 25, 2018
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip Torr

* 12 Pages, 6 Figures, 2 Tables, in British Machine Vision Conference (BMVC), 2015 

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Recurrent Instance Segmentation


Oct 24, 2016
Bernardino Romera-Paredes, Philip H. S. Torr

* ECCV 2016. 14th European Conference on Computer Vision 
* 14 pages (main paper). 24 pages including references and appendix 

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Conditional Random Fields as Recurrent Neural Networks


Apr 13, 2016
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

* This paper is published in IEEE ICCV 2015 

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The Benefit of Multitask Representation Learning


Mar 25, 2016
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes

* To appear in Journal of Machine Learning Research (JMLR). 31 pages 

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Sparse coding for multitask and transfer learning


Jun 16, 2014
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes

* International Conference on Machine Learning 2013 

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An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning


Jun 07, 2014
Andreas Maurer, Massimiliano Pontil, Bernardino Romera-Paredes


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A New Convex Relaxation for Tensor Completion


Jul 17, 2013
Bernardino Romera-Paredes, Massimiliano Pontil


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