Vasco Lopes

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Neural Architecture

Sentiment Analysis

Action Recognition

Mathematical Models

Top Venues

Publications

Bruno Degardin, Vasco Lopes, Hugo Proença
Fake It Till You Recognize It: Quality Assessment for Human Action Generative Models. IEEE Trans. Biom. Behav. Identity Sci. 6 (2) (2024)
Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang
Manas: multi-agent neural architecture search. Mach. Learn. 113 (1) (2024)
Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
Guided evolutionary neural architecture search with efficient performance estimation. Neurocomputing 584 (2024)
Vasco Lopes, Bruno Degardin, Luís A. Alexandre
Are neural architecture search benchmarks well designed? A deeper look into operation importance. Inf. Sci. 650 (2023)
Vasco Lopes, Bruno Degardin, Luís A. Alexandre
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance. CoRR (2023)
Bruno Degardin, Vasco Lopes, Hugo Proença
ATOM: Self-supervised human action recognition using atomic motion representation learning. Image Vis. Comput. 137 (2023)
Vasco Lopes, Luís A. Alexandre
Towards Less Constrained Macro-Neural Architecture Search. CoRR (2022)
Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation. CoRR (2022)
Bruno Degardin, João C. Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. WACV (2022)
Vasco Lopes, Luís A. Alexandre, Nuno Pereira
Controlling Robots using Image Analysis and a Consortium Blockchain. ICARCV (2022)
Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
Efficient guided evolution for neural architecture search. GECCO Companion (2022)
Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro
An AutoML-based Approach to Multimodal Image Sentiment Analysis. IJCNN (2021)
Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. ICANN (5) (2021)
Bruno Degardin, João C. Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. CoRR (2021)
Fernando M. L. Martins, Ricardo Gomes, Vasco Lopes, Frutuoso G. M. Silva, Rui Mendes
Mathematical Models to Measure the Variability of Nodes and Networks in Team Sports. Entropy 23 (8) (2021)
Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. CoRR (2021)
Vasco Lopes, Nuno Pereira, Miguel Fernandes, Luís A. Alexandre
A Time-Segmented Consortium Blockchain for Robotic Event Registration. ICBCT (2021)
Vasco Lopes, Paulo A. P. Fazendeiro
A Hybrid Method for Training Convolutional Neural Networks. SAI (3) (2021)
Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
Guided Evolution for Neural Architecture Search. CoRR (2021)
Bruno Degardin, Vasco Lopes, Hugo Proença
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Bruno Degardin, Vasco Lopes, Hugo Proença
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition. CoRR (2021)
Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro
An AutoML-based Approach to Multimodal Image Sentiment Analysis. CoRR (2021)
Vasco Lopes, Luís A. Alexandre
HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization. CoRR (2020)
João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença, Julian Fiérrez
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. IEEE J. Sel. Top. Signal Process. 14 (5) (2020)
Vasco Lopes, Luís A. Alexandre
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. ICONIP (1) (2020)
Vasco Lopes, Luís A. Alexandre
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. CoRR (2020)
Vasco Lopes, Paulo A. P. Fazendeiro
A Hybrid Method for Training Convolutional Neural Networks. CoRR (2020)
Vasco Lopes, Luís A. Alexandre, Nuno Pereira
Controlling Robots using Artificial Intelligence and a Consortium Blockchain. CoRR (2019)
Vasco Lopes, Nuno Pereira, Luís A. Alexandre
Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. CVPR Workshops (2019)
Vasco Lopes, Luís A. Alexandre
Detecting Robotic Anomalies using RobotChain. ICARSC (2019)
João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença
Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. CoRR (2019)
Vasco Lopes, Luís A. Alexandre
An Overview of Blockchain Integration with Robotics and Artificial Intelligence. CoRR (2018)
Vasco Lopes, Luís A. Alexandre, Miguel Fernandes
"Less is more": Simplifying point clouds to improve grasping performance. ICARSC (2018)