Jeffrey De Fauw

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 11

Top Topics

Image Recognition

Predictive Coding

Top Venues

Publications

Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
Self-Supervised MultiModal Versatile Networks. NeurIPS (2020)
Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
Self-Supervised MultiModal Versatile Networks. CoRR (2020)
Jeffrey De Fauw, Sander Dieleman, Karen Simonyan
Hierarchical Autoregressive Image Models with Auxiliary Decoders. CoRR (2019)
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord
Data-Efficient Image Recognition with Contrastive Predictive Coding. CoRR (2019)
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
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. CoRR (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
A Probabilistic U-Net for Segmentation of Ambiguous Images. CoRR (2018)
Simon 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
A Probabilistic U-Net for Segmentation of Ambiguous Images. NeurIPS (2018)
Jeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise
Automated analysis of retinal imaging using machine learning techniques for computer vision. F1000Research 5 (2016)
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
Exploiting Cyclic Symmetry in Convolutional Neural Networks. ICML (2016)
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
Exploiting Cyclic Symmetry in Convolutional Neural Networks. CoRR (2016)
Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. F1000Research 5 (2016)