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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...
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MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
Multilabel conditional image generation is a challenging problem in comp...
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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...
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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 ...
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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...
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CookGAN: Meal Image Synthesis from Ingredients
In this work we propose a new computational framework, based on generati...
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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...
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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...
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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 ...
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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 ...
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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 ...
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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...
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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...
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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...
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