5 papers
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
Vasco Lopes, Bruno Degardin, Luís A. Alexandre
Neural Architecture Search (NAS) benchmarks significantly improved the capability of developing and comparing NAS methods while at the same time drastically reduced the computation…
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation
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…
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…