Vasco Lopes

Orcid: 0000-0002-5577-1094

According to our database1, Vasco Lopes authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fake It Till You Recognize It: Quality Assessment for Human Action Generative Models.
IEEE Trans. Biom. Behav. Identity Sci., April, 2024

Manas: multi-agent neural architecture search.
Mach. Learn., January, 2024

Guided evolutionary neural architecture search with efficient performance estimation.
Neurocomputing, 2024

Zero-Shot Action Recognition in Surveillance Videos.
CoRR, 2024

2023
Are neural architecture search benchmarks well designed? A deeper look into operation importance.
Inf. Sci., December, 2023

ATOM: Self-supervised human action recognition using atomic motion representation learning.
Image Vis. Comput., September, 2023

2022
Towards Less Constrained Macro-Neural Architecture Search.
CoRR, 2022

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Controlling Robots using Image Analysis and a Consortium Blockchain.
Proceedings of the 17th International Conference on Control, 2022

Efficient guided evolution for neural architecture search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition.
IEEE Trans. Inf. Forensics Secur., 2021

Mathematical Models to Measure the Variability of Nodes and Networks in Team Sports.
Entropy, 2021

Guided Evolution for Neural Architecture Search.
CoRR, 2021

A Hybrid Method for Training Convolutional Neural Networks.
Proceedings of the Intelligent Computing, 2021

An AutoML-based Approach to Multimodal Image Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Time-Segmented Consortium Blockchain for Robotic Event Registration.
Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021

EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection.
IEEE J. Sel. Top. Signal Process., 2020

HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization.
CoRR, 2020

Auto-Classifier: A Robust Defect Detector Based on an AutoML Head.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems.
CoRR, 2019

Controlling Robots using Artificial Intelligence and a Consortium Blockchain.
CoRR, 2019

Detecting Robotic Anomalies using RobotChain.
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
An Overview of Blockchain Integration with Robotics and Artificial Intelligence.
CoRR, 2018

"Less is more": Simplifying point clouds to improve grasping performance.
Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018


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