Parisot, Sarah

16 publications

TMLR 2025 A Practical Investigation of Spatially-Controlled Image Generation with Transformers Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot

NeurIPS 2024 Generating Compositional Scenes via Text-to-Image RGBA Instance Generation Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot

CVPR 2024 MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot

CVPR 2023 Learning to Name Classes for Vision and Language Models Sarah Parisot, Yongxin Yang, Steven McDonagh

CVPR 2022 Long-Tail Recognition via Compositional Knowledge Transfer Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li

CVPR 2020 A Multi-Hypothesis Approach to Color Constancy Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

CVPR 2020 DeepLPF: Deep Local Parametric Filters for Image Enhancement Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh

AAAI 2020 EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li

ECCV 2020 Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky

ECCV 2020 Low Light Video Enhancement Using Synthetic Data Produced with an Intermediate Domain Mapping Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh

ECCV 2020 Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection Carlo Biffi, Steven McDonagh, Philip Torr, Aleš Leonardis, Sarah Parisot

ECCV 2020 More Classifiers, Less Forgetting: A Generic Multi-Classifier Paradigm for Incremental Learning Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars

CVPR 2020 Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars

NeurIPS 2018 Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown, Stathis Vafeias, Sarah Parisot

ICCV 2013 Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration Sarah Parisot, William Wells Iii, Stephane Chemouny, Hugues Duffau, Nikos Paragios

CVPR 2012 Graph-Based Detection, Segmentation & Characterization of Brain Tumors Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios