Sarah Parisot

Computer Science · Physical Sciences

21h-index4.9kcitations86works0.82yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(20), Functional Brain Connectivity Studies(18), Multimodal Machine Learning Applications(15), Medical Image Segmentation Techniques(13), Brain Tumor Detection and Classification(13)

Publications86 total

Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities
arXiv (Cornell University)·2025Open Access
Generating Compositional Scenes via Text-to-image RGBA Instance Generation
arXiv (Cornell University)·2024Open Access
Improving Object Detection via Local-global Contrastive Learning
arXiv (Cornell University)·2024Open Access
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
2024· 4 cited
Feed restriction affects milk performances and decreases milk lipolysis in dairy ewes
animal·2024· 2 citedOpen Access
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
arXiv (Cornell University)·2024Open Access
Generating compositional scenes via Text-to-image RGBA Instance Generation
2024
Learning Compositional Shape Priors for Few-Shot 3d Reconstruction
SSRN Electronic Journal·2024Open Access
Optimisation-Based Multi-Modal Semantic Image Editing
arXiv (Cornell University)·2023Open Access
Learning to Name Classes for Vision and Language Models
2023· 10 cited
Learning to Name Classes for Vision and Language Models
arXiv (Cornell University)·2023· 1 citedOpen Access
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
Neural Networks·2023· 44 citedOpen Access
Content-Diverse Comparisons improve IQA
arXiv (Cornell University)·2022Open Access
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
arXiv (Cornell University)·2022Open Access
Feed restriction in ewes affects milk performances and decreases milk lipolysis
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access
Long-tail Recognition via Compositional Knowledge Transfer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 30 cited
Re-examining Distillation For Continual Object Detection
arXiv (Cornell University)·2022· 5 citedOpen Access
Long-tail Recognition via Compositional Knowledge Transfer
arXiv (Cornell University)·2021· 1 citedOpen Access
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
arXiv (Cornell University)·2021Open Access
Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning
2021
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Frequent Co-authors

Daniel Rueckert(19), Enzo Ferrante(12), Sofia Ira Ktena(11), Ben Glocker(11), Steven McDonagh(11), Greg Slabaugh(9), Aleš Leonardis(7), Matthew Lee(7), Salim Arslan(7), Nikos Paragios(7), Tinne Tuytelaars(6), Stéphane Chemouny(6), Hugues Duffau(6), Martin Rajchl(4), Matthias De Lange(4), Jonathan Passerat‐Palmbach(4), Xu Jia(3), Ricardo Guerrerro Moreno(3), William M. Wells(3), Yongxin Yang(3)