47 citations · 148 across the 20 of their papers we have counts for
5 papers · 1 filter
Guided Evolution for Neural Architecture Search
Vasco Lopes, Miguel Santos, Bruno Degardin +1
Neural Architecture Search (NAS) methods have been successfully applied to image tasks with excellent results. However, NAS methods are often complex and tend to converge to local…
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Bruno Degardin, João Neves, Vasco Lopes +3
Synthesising the spatial and temporal dynamics of the human body skeleton remains a challenging task, not only in terms of the quality of the generated shapes, but also of their di…
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition
Bruno Degardin, Vasco Lopes, Hugo Proença
It is known that the kinematics of the human body skeleton reveals valuable information in action recognition. Recently, modeling skeletons as spatio-temporal graphs with Graph Con…
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre
Neural Architecture Search (NAS) has shown excellent results in designing architectures for computer vision problems. NAS alleviates the need for human-defined settings by automati…
An AutoML-based Approach to Multimodal Image Sentiment Analysis
Vasco Lopes, António Gaspar, Luís A. Alexandre +1
Sentiment analysis is a research topic focused on analysing data to extract information related to the sentiment that it causes. Applications of sentiment analysis are wide, rangin…