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12/02/2022
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation
Weakly-supervised object detection (WSOD) models attempt to leverage ima...
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11/02/2022
A digital business ecosystem maturity model for personal service firms
Personal services can be found in sectors such as education, retail, hos...
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10/10/2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
This paper is on Few-Shot Object Detection (FSOD), where given a few tem...
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04/10/2022
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
Learning an egocentric action recognition model from video data is chall...
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10/22/2021
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
Multi-attribute conditional image generation is a challenging problem in...
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02/04/2021
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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12/04/2020
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
Multilabel conditional image generation is a challenging problem in comp...
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12/02/2020
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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12/01/2020
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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10/17/2020
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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02/25/2020
CookGAN: Meal Image Synthesis from Ingredients
In this work we propose a new computational framework, based on generati...
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09/26/2019
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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05/09/2019
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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04/19/2019
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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10/25/2018
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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06/08/2018
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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06/05/2018
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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02/22/2018
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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12/01/2017