Vasco Lopes

According to our database, Vasco Lopes authored at least 29 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding.

João Pereira, Vasco Lopes, David Semedo, João Neves

CoRR, March, 2025

Toward Less Constrained Macro-Neural Architecture Search.

Vasco Lopes, Luís A. Alexandre

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Towards Event-Driven Evaluation of Surveillance Video Understanding Using Natural Language.

João Pereira, Vasco Lopes, João Neves, David Semedo

Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

2024

Fake It Till You Recognize It: Quality Assessment for Human Action Generative Models.

Bruno Degardin, Vasco Lopes, Hugo Proença

IEEE Trans. Biom. Behav. Identity Sci., April, 2024

Manas: multi-agent neural architecture search.

Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang

Mach. Learn., January, 2024

Guided evolutionary neural architecture search with efficient performance estimation.

Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre

Neurocomputing, 2024

Zero-Shot Action Recognition in Surveillance Videos.

João Pereira, Vasco Lopes, David Semedo, João Neves

CoRR, 2024

2023

Are neural architecture search benchmarks well designed? A deeper look into operation importance.

Vasco Lopes, Bruno Degardin, Luís A. Alexandre

Inf. Sci., December, 2023

ATOM: Self-supervised human action recognition using atomic motion representation learning.

Bruno Degardin, Vasco Lopes, Hugo Proença

Image Vis. Comput., September, 2023

2022

Towards Less Constrained Macro-Neural Architecture Search.

Vasco Lopes, Luís A. Alexandre

CoRR, 2022

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis.

Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Controlling Robots using Image Analysis and a Consortium Blockchain.

Vasco Lopes, Luís A. Alexandre, Nuno Pereira

Proceedings of the 17th International Conference on Control, 2022

Efficient guided evolution for neural architecture search.

Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre

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.

Bruno Degardin, Vasco Lopes, Hugo Proença

IEEE Trans. Inf. Forensics Secur., 2021

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

Fernando M. L. Martins, Ricardo Gomes, Vasco Lopes, Frutuoso G. M. Silva, Rui Mendes

Entropy, 2021

Guided Evolution for Neural Architecture Search.

Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre

CoRR, 2021

A Hybrid Method for Training Convolutional Neural Networks.

Vasco Lopes, Paulo A. P. Fazendeiro

Proceedings of the Intelligent Computing, 2021

An AutoML-based Approach to Multimodal Image Sentiment Analysis.

Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro

Proceedings of the International Joint Conference on Neural Networks, 2021

A Time-Segmented Consortium Blockchain for Robotic Event Registration.

Vasco Lopes, Nuno Pereira, Miguel Fernandes, Luís A. Alexandre

Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021

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

Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre

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.

João C. Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença, Julian Fiérrez

IEEE J. Sel. Top. Signal Process., 2020

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

Vasco Lopes, Luís A. Alexandre

CoRR, 2020

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

Vasco Lopes, Luís A. Alexandre

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

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

João Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença

CoRR, 2019

Controlling Robots using Artificial Intelligence and a Consortium Blockchain.

Vasco Lopes, Luís A. Alexandre, Nuno Pereira

CoRR, 2019

Detecting Robotic Anomalies using RobotChain.

Vasco Lopes, Luís A. Alexandre

Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach.

Vasco Lopes, Nuno Pereira, Luís A. Alexandre

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

An Overview of Blockchain Integration with Robotics and Artificial Intelligence.

Vasco Lopes, Luís A. Alexandre

CoRR, 2018

"Less is more": Simplifying point clouds to improve grasping performance.

Vasco Lopes, Luís A. Alexandre, Miguel Fernandes

Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018