Search Results for author: Vasco Lopes

Found 12 papers, 6 papers with code

Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation

no code implementations22 Jul 2022 Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre

GEA guides the evolution by exploring the search space by generating and evaluating several architectures in each generation at initialisation stage using a zero-proxy estimator, where only the highest-scoring architecture is trained and kept for the next generation.

Neural Architecture Search

Towards Less Constrained Macro-Neural Architecture Search

1 code implementation10 Mar 2022 Vasco Lopes, Luís A. Alexandre

LCMNAS introduces three components for the NAS pipeline: i) a method that leverages information about well-known architectures to autonomously generate complex search spaces based on Weighted Directed Graphs with hidden properties, ii) a evolutionary search strategy that generates complete architectures from scratch, and iii) a mixed-performance estimation approach that combines information about architectures at initialization stage and lower fidelity estimates to infer their trainability and capacity to model complex functions.

Neural Architecture Search

Guided Evolution for Neural Architecture Search

1 code implementation28 Oct 2021 Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre

The rationale behind G-EA, is to explore the search space by generating and evaluating several architectures in each generation at initialization stage using a zero-proxy estimator, where only the highest-scoring network is trained and kept for the next generation.

Neural Architecture Search

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

1 code implementation21 Oct 2021 Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença

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 diversity, particularly to synthesise realistic body movements of a specific action (action conditioning).

Action Generation Disentanglement +2

REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition

no code implementations14 May 2021 Bruno Degardin, Vasco Lopes, Hugo Proença

It is known that the kinematics of the human body skeleton reveals valuable information in action recognition.

Action Recognition

EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search

2 code implementations16 Feb 2021 Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre

In this paper, we propose EPE-NAS, an efficient performance estimation strategy, that mitigates the problem of evaluating networks, by scoring untrained networks and creating a correlation with their trained performance.

Neural Architecture Search

An AutoML-based Approach to Multimodal Image Sentiment Analysis

no code implementations16 Feb 2021 Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro

Sentiment analysis is a research topic focused on analysing data to extract information related to the sentiment that it causes.

AutoML Marketing +2

Auto-Classifier: A Robust Defect Detector Based on an AutoML Head

1 code implementation3 Sep 2020 Vasco Lopes, Luís A. Alexandre

The dominant approach for surface defect detection is the use of hand-crafted feature-based methods.

AutoML Defect Detection

HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization

no code implementations31 Jul 2020 Vasco Lopes, Luís A. Alexandre

Neural Architecture Search has achieved state-of-the-art performance in a variety of tasks, out-performing human-designed networks.

Neural Architecture Search

A Hybrid Method for Training Convolutional Neural Networks

no code implementations15 Apr 2020 Vasco Lopes, Paulo Fazendeiro

Artificial Intelligence algorithms have been steadily increasing in popularity and usage.

Image Classification

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection

2 code implementations13 Nov 2019 João C. Neves, Ruben Tolosana, Ruben Vera-Rodriguez, Vasco Lopes, Hugo Proença, Julian Fierrez

The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely realistic fake facial content, raising obvious concerns about the potential for misuse.

Face Generation

An Overview of Blockchain Integration with Robotics and Artificial Intelligence

no code implementations30 Sep 2018 Vasco Lopes, Luís A. Alexandre

Blockchain technology is growing everyday at a fast-passed rhythm and it's possible to integrate it with many systems, namely Robotics with AI services.

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