Ricardo Guerrero
Affiliations:- Imperial College London, UK
According to our database1,
Ricardo Guerrero
authored at least 49 papers
between 2011 and 2024.
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Bibliography
2024
Efficient Vision-Language pre-training via domain-specific learning for human activities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Helping Personal Service Firms to Cope with Digital Transformation: Evaluation of a Digitalization Maturity Model.
Pac. Asia J. Assoc. Inf. Syst., 2023
D<sup>2</sup>F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation.
CoRR, 2022
SOS! Self-supervised Learning over Sets of Handled Objects in Egocentric Action Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace.
CoRR, 2020
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach.
CoRR, 2020
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.
Comput. Medical Imaging Graph., 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes.
Proceedings of the Machine Learning for Healthcare Conference, 2019
2018
Pattern Recognit., 2018
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal., 2018
CoRR, 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13).
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging, 2017
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017
Pattern Recognit., 2017
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression.
CoRR, 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016
2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO.
NeuroImage, 2014
Medical Image Anal., 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Landmark localization, feature matching and biomarker discovery from magnetic resonance images.
PhD thesis, 2013
Data-specific feature point descriptor matching using dictionary learning and graphical models.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011