Ricardo Guerrero

Affiliations:
  • Imperial College London, UK


According to our database1, Ricardo Guerrero authored at least 47 papers between 2011 and 2023.

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Timeline

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Bibliography

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

FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training.
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

Variational Continual Proxy-Anchor for Deep Metric Learning.
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

AIxFood'21: 3rd Workshop on AIxFood.
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

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs.
CoRR, 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

CookGAN: Meal Image Synthesis from Ingredients.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
The Art of Food: Meal Image Synthesis from Ingredients.
CoRR, 2019

Deep Cooking: Predicting Relative Food Ingredient Amounts from Images.
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
A large margin algorithm for automated segmentation of white matter hyperintensity.
Pattern Recognit., 2018

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal., 2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.
CoRR, 2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
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

Group-constrained manifold learning: Application to AD risk assessment.
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

Spectral Graph Convolutions for Population-Based Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Instantiated mixed effects modeling of Alzheimer's disease markers.
NeuroImage, 2016

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


2015
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.
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

Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal., 2014

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.
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
Nonrigid free-form registration using landmark-based statistical deformation models.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Automatic detection of coronary stent struts in intravascular OCT imaging.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 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
Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011


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