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ORCIDFabio De Sousa Ribeiro
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2020 – today
- 2024
[j3]Fabio De Sousa Ribeiro
, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah:
Object-centric Learning with Capsule Networks: A Survey. ACM Comput. Surv. 56(11): 291:1-291:291 (2024)- [c12]Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker:
Grounded Object-Centric Learning. ICLR 2024 - [c11]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Counterfactual Contrastive Learning: Robust Representations via Causal Image Synthesis. DEMI@MICCAI 2024: 22-32 - [c10]Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker:
Mitigating Attribute Amplification in Counterfactual Image Generation. MICCAI (10) 2024: 546-556 - [i15]Fabio De Sousa Ribeiro, Ben Glocker:
Demystifying Variational Diffusion Models. CoRR abs/2401.06281 (2024) - [i14]Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker:
Mitigating attribute amplification in counterfactual image generation. CoRR abs/2403.09422 (2024) - [i13]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Counterfactual contrastive learning: robust representations via causal image synthesis. CoRR abs/2403.09605 (2024) - [i12]Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro:
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR abs/2406.07141 (2024) - [i11]Wei Peng, Tian Xia, Fabio De Sousa Ribeiro, Tomas M. Bosschieter, Ehsan Adeli-Mosabbeb, Qingyu Zhao, Ben Glocker, Kilian M. Pohl:
Latent 3D Brain MRI Counterfactual. CoRR abs/2409.05585 (2024) - [i10]Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker:
Robust image representations with counterfactual contrastive learning. CoRR abs/2409.10365 (2024) - 2023
- [c9]Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. ICLR 2023 - [c8]Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker:
High Fidelity Image Counterfactuals with Probabilistic Causal Models. ICML 2023: 7390-7425 - [i9]Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. CoRR abs/2303.01274 (2023) - [i8]Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker:
High Fidelity Image Counterfactuals with Probabilistic Causal Models. CoRR abs/2306.15764 (2023) - [i7]Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro, Ozan Oktay, Melissa D. McCradden, Ben Glocker:
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. CoRR abs/2307.16526 (2023) - 2022
- [j2]Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker:
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. Trans. Mach. Learn. Res. 2022 (2022) - [c7]Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker:
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. ML4H@NeurIPS 2022: 290-310 - [i6]Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker:
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. CoRR abs/2205.14094 (2022) - [i5]Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah:
Learning with Capsules: A Survey. CoRR abs/2206.02664 (2022) - [i4]Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker:
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. CoRR abs/2211.01886 (2022) - 2021
- [b1]Fabio De Sousa Ribeiro:
Uncertainty and capsule networks for computer vision. University of Lincoln, UK, 2021 - 2020
- [j1]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Self-Training. Neural Comput. Appl. 32(9): 4275-4291 (2020) - [c6]Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. AAAI 2020: 3749-3756 - [c5]Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Introducing Routing Uncertainty in Capsule Networks. NeurIPS 2020
2010 – 2019
- 2019
- [i3]Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias:
Capsule Routing via Variational Bayes. CoRR abs/1905.11455 (2019) - 2018
- [c4]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
An adaptable deep learning system for optical character verification in retail food packaging. EAIS 2018: 1-8 - [c3]Fabio De Sousa Ribeiro, Liyun Gong, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Miao Yu, Georgios Leontidis, Xujiong Ye, Stefanos D. Kollias:
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. ICIP 2018: 2376-2380 - [c2]Francesco Calivá, Fabio De Sousa Ribeiro, Antonios Mylonakis, Christophe Demazière, Paolo Vinai, Georgios Leontidis, Stefanos D. Kollias:
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. IJCNN 2018: 1-8 - [c1]Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. SSCI 2018: 120-127 - [i2]Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. CoRR abs/1807.10096 (2018) - [i1]Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias:
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. CoRR abs/1812.01681 (2018)
Coauthor Index
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