Sarah Parisot

76 papers A* 11A 3Journal 41Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Practical Investigation of Spatially-Controlled Image Generation with Transformers.
CoRR
Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot
2025 J jnl
A Practical Investigation of Spatially-Controlled Image Generation with Transformers.
Trans. Mach. Learn. Res.
Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot
2025 J jnl
Adapting Vision-Language Models for Evaluating World Models.
CoRR
Mariya Hendriksen, Tabish Rashid, David Bignell, Raluca Georgescu, Abdelhak Lemkhenter, Katja Hofmann, Sam Devlin, Sarah Parisot
2025 J jnl
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities.
CoRR
Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot
2024 J jnl
Generating Compositional Scenes via Text-to-image RGBA Instance Generation.
CoRR
Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
2024 A* conf
Generating compositional scenes via Text-to-image RGBA Instance Generation.
NeurIPS
Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
2024 A conf
Improving Object Detection via Local-global Contrastive Learning.
BMVC
Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh
2024 J jnl
Improving Object Detection via Local-global Contrastive Learning.
CoRR
Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh
2024 A* conf
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation.
CVPR
Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2024 J jnl
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation.
CoRR
Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot
2023 J jnl
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
Neural Networks
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2023 A* conf
Learning to Name Classes for Vision and Language Models.
CVPR
Sarah Parisot, Yongxin Yang, Steven McDonagh
2023 J jnl
Learning to Name Classes for Vision and Language Models.
CoRR
Sarah Parisot, Yongxin Yang, Steven McDonagh
2023 J jnl
Optimisation-Based Multi-Modal Semantic Image Editing.
CoRR
Bowen Li, Yongxin Yang, Steven McDonagh, Shifeng Zhang, Petru-Daniel Tudosiu, Sarah Parisot
2022 J jnl
A Continual Learning Survey: Defying Forgetting in Classification Tasks.
IEEE Trans. Pattern Anal. Mach. Intell.
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2022 J jnl
CLAD: A realistic Continual Learning benchmark for Autonomous Driving.
CoRR
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022 A conf
Content-Diverse Comparisons improve IQA.
BMVC
William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh
2022 J jnl
Content-Diverse Comparisons improve IQA.
CoRR
William Thong, José Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh
2022 A* conf
Long-tail Recognition via Compositional Knowledge Transfer.
CVPR
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2022 J jnl
Re-examining Distillation For Continual Object Detection.
CoRR
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022 A conf
Re-examining Distillation for Continual Object Detection.
BMVC
Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2021 J jnl
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction.
CoRR
Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2021 J jnl
Long-tail Recognition via Compositional Knowledge Transfer.
CoRR
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
2020 A* conf
A Multi-Hypothesis Approach to Color Constancy.
CVPR
Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
2020 J jnl
A Multi-Hypothesis Approach to Color Constancy.
CoRR
Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
2020 A* conf
DeepLPF: Deep Local Parametric Filters for Image Enhancement.
CVPR
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020 J jnl
DeepLPF: Deep Local Parametric Filters for Image Enhancement.
CoRR
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020 A* conf
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement.
AAAI
Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li
2020 J jnl
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement.
CoRR
Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li
2020 — conf
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.
ECCV (25)
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2020 J jnl
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors.
CoRR
Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2020 — conf
Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping.
ECCV (13)
Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020 — conf
Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection.
ECCV (8)
Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot
2020 J jnl
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection.
CoRR
Carlo Biffi, Steven McDonagh, Philip H. S. Torr, Ales Leonardis, Sarah Parisot
2020 — conf
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning.
ECCV (26)
Yu Liu, Sarah Parisot, Gregory G. Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars
2020 — conf
Probabilistic 3D Surface Reconstruction from Sparse MRI Information.
MICCAI (1)
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
2020 J jnl
Probabilistic 3D surface reconstruction from sparse MRI information.
CoRR
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
2020 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
UNSURE/GRAIL@MICCAI
Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2020 A* conf
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem.
CVPR
Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2020 J jnl
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem.
CoRR
Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2019 J jnl
Continual learning: A comparative study on how to defy forgetting in classification tasks.
CoRR
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2018 J jnl
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018 J jnl
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal.
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
2018 — ed.
Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
GRAIL/Beyond-MIC@MICCAI
Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
2018 J jnl
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage
Salim Arslan, Sofia Ira Ktena, Antonios Makropoulos, Emma C. Robinson, Daniel Rueckert, Sarah Parisot
2018 A* conf
Learning Conditioned Graph Structures for Interpretable Visual Question Answering.
NeurIPS
Will Norcliffe-Brown, Stathis Vafeias, Sarah Parisot
2018 J jnl
Learning Conditioned Graph Structures for Interpretable Visual Question Answering.
CoRR
Will Norcliffe-Brown, Efstathios Vafeias, Sarah Parisot
2018 J jnl
Meta-Learning for Few-shot Camera-Adaptive Color Constancy.
CoRR
Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory G. Slabaugh
2018 J jnl
Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2018 — conf
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors.
ShapeMI@MICCAI
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
2018 J jnl
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors.
CoRR
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
2017 J jnl
A flexible graphical model for multi-modal parcellation of the cortex.
NeuroImage
Sarah Parisot, Ben Glocker, Sofia Ira Ktena, Salim Arslan, Markus D. Schirmer, Daniel Rueckert
2017 — conf
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
MICCAI (1)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2017 J jnl
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks.
CoRR
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
2017 J jnl
Exploring Heritability of Functional Brain Networks with Inexact Graph Matching.
CoRR
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert
2017 — conf
Exploring heritability of functional brain networks with inexact graph matching.
ISBI
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert
2017 — ed.
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings
GRAIL/MFCA/MICGen@MICCAI
M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017 J jnl
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Frontiers Neuroinformatics
Jonathan Passerat-Palmbach, Romain Reuillon, Mathieu Leclaire, Antonios Makropoulos, Emma C. Robinson, Sarah Parisot, Daniel Rueckert
2017 — conf
Spectral Graph Convolutions for Population-Based Disease Prediction.
MICCAI (3)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
2017 J jnl
Spectral Graph Convolutions for Population-based Disease Prediction.
CoRR
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
2016 J jnl
(Hyper)-graphical models in biomedical image analysis.
Medical Image Anal.
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
2016 — conf
Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation.
MICCAI (1)
Salim Arslan, Sarah Parisot, Daniel Rueckert
2016 J jnl
Comparison of Brain Networks with Unknown Correspondences.
CoRR
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert
2016 — conf
DeepMedic for Brain Tumor Segmentation.
BrainLes@MICCAI
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
2016 — conf
GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves.
MICCAI (1)
Sarah Parisot, Ben Glocker, Markus Schirmer, Daniel Rueckert
2016 J jnl
Group-wise parcellation of the cortex through multi-scale spectral clustering.
NeuroImage
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2016 J jnl
Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016.
CoRR
Sarah Parisot, Jonathan Passerat-Palmbach, Markus D. Schirmer, Boris Gutman
2015 — conf
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation.
MICCAI (3)
Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert
2015 — conf
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle.
STACOM@MICCAI
Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert
2015 — conf
Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.
IPMI
Salim Arslan, Sarah Parisot, Daniel Rueckert
2015 — conf
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex.
IPMI
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2014 J jnl
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs.
Medical Image Anal.
Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
2013 A* conf
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration.
ICCV
Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios
2012 A* conf
Graph-based detection, segmentation & characterization of brain tumors.
CVPR
Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios
2012 — conf
Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images.
MICCAI (2)
Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios
2011 — conf
Graph Based Spatial Position Mapping of Low-Grade Gliomas.
MICCAI (2)
Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios