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Learning Compositional Shape Priors for Few-Shot 3D Reconstruction


Jun 16, 2021
Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky

* 13 pages, 12 figures. arXiv admin note: substantial text overlap with arXiv:2004.06302 

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Probabilistic 3D surface reconstruction from sparse MRI information


Oct 05, 2020
Katar铆na T贸thov谩, Sarah Parisot, Matthew Lee, Esther Puyol-Ant贸n, Andrew King, Marc Pollefeys, Ender Konukoglu

* MICCAI 2020 

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Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection


Aug 26, 2020
Carlo Biffi, Steven McDonagh, Philip Torr, Ales Leonardis, Sarah Parisot

* Accepted at ECCV 2020. Camera-ready version and Appendices 

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Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors


May 03, 2020
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky


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DeepLPF: Deep Local Parametric Filters for Image Enhancement


Mar 31, 2020
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh

* Accepted for publication at CVPR2020 

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Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem


Mar 30, 2020
Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars

* CVPR 2020 

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A Multi-Hypothesis Approach to Color Constancy


Mar 02, 2020
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

* Accepted for publication at CVPR2020 

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A Multi-Hypothesis Classification Approach to Color Constancy


Feb 28, 2020
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

* Accepted at CVPR2020 

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EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement


Feb 18, 2020
Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li

* Accepted by AAAI20 

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Continual learning: A comparative study on how to defy forgetting in classification tasks


Sep 18, 2019
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars


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Meta-Learning for Few-shot Camera-Adaptive Color Constancy


Nov 28, 2018
Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory Slabaugh

* The two first authors contributed equally 

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Learning Conditioned Graph Structures for Interpretable Visual Question Answering


Nov 01, 2018
Will Norcliffe-Brown, Efstathios Vafeias, Sarah Parisot

* NIPS 2018 (13 pages, 7 figures) 

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Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors


Jul 30, 2018
Katar铆na T贸thov谩, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Ant贸n, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys

* Accepted to ShapeMI MICCAI 2018: Workshop on Shape in Medical Imaging 

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Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease


Jun 05, 2018
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert

* in Press at Medical Image Analysis, MICCAI 2017 Special Issue 

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Spectral Graph Convolutions for Population-based Disease Prediction


Jun 21, 2017
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrerro Moreno, Ben Glocker, Daniel Rueckert

* International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2017 

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Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks


Jun 14, 2017
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew Lee, Ben Glocker, Daniel Rueckert

* International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2017 

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Exploring Heritability of Functional Brain Networks with Inexact Graph Matching


Mar 29, 2017
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert

* accepted at ISBI 2017: International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia 

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Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016


Nov 24, 2016
Sarah Parisot, Jonathan Passerat-Palmbach, Markus D. Schirmer, Boris Gutman


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Comparison of Brain Networks with Unknown Correspondences


Nov 15, 2016
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert

* Presented at The MICCAI-BACON 16 Workshop (https://arxiv.org/abs/1611.03363

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