Ricardo Guerrero

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Imperial College London ∙ SAMSUNG

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CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval

Despite the abundance of multi-modal data, such as image-text pairs, the...
02/04/2021 ∙ by Hai X. Pham, et al. ∙ 7 ∙ share

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MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs

Multilabel conditional image generation is a challenging problem in comp...
12/04/2020 ∙ by Fangda Han, et al. ∙ 11 ∙ share

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Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace

Computational food analysis (CFA), a broad set of methods that attempt t...
12/02/2020 ∙ by Ricardo Guerrero, et al. ∙ 0 ∙ share

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Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach

We deal with the problem of learning the underlying disentangled latent ...
12/01/2020 ∙ by Minyoung Kim, et al. ∙ 0 ∙ share

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Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images

Increased awareness of the impact of food consumption on health and life...
10/17/2020 ∙ by Jiatong Li, et al. ∙ 1 ∙ share

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CookGAN: Meal Image Synthesis from Ingredients

In this work we propose a new computational framework, based on generati...
02/25/2020 ∙ by Fangda Han, et al. ∙ 35 ∙ share

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Deep Cooking: Predicting Relative Food Ingredient Amounts from Images

In this paper, we study the novel problem of not only predicting ingredi...
09/26/2019 ∙ by Jiatong Li, et al. ∙ 34 ∙ share

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The Art of Food: Meal Image Synthesis from Ingredients

In this work we propose a new computational framework, based on generati...
05/09/2019 ∙ by Fangda Han, et al. ∙ 1 ∙ share

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Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes

We introduce a novel personalized Gaussian Process Experts (pGPE) model ...
04/19/2019 ∙ by Ognjen Rudovic, et al. ∙ 8 ∙ share

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GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

One of the biggest issues facing the use of machine learning in medical ...
10/25/2018 ∙ by Christopher Bowles, et al. ∙ 4 ∙ share

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Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

We propose a fully automatic method to find standardized view planes in ...
06/08/2018 ∙ by Amir Alansary, et al. ∙ 10 ∙ share

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

Graphs are widely used as a natural framework that captures interactions...
06/05/2018 ∙ by Sarah Parisot, et al. ∙ 0 ∙ share

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Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)

In this paper, we introduce the use of a personalized Gaussian Process m...
02/22/2018 ∙ by Yuria Utsumi, et al. ∙ 0 ∙ share

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Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression

In this paper, we introduce the use of a personalized Gaussian Process m...
12/01/2017 ∙ by Kelly Peterson, et al. ∙ 0 ∙ share

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