Bruno Degardin

According to our database, Bruno Degardin authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation.

Vasco Lopes, Miguel Santos, Bruno Degardin, 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

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

Iterative weak/self-supervised classification framework for abnormal events detection.

Bruno Degardin, Hugo Proença

Pattern Recognit. Lett., 2021

You look so different! Haven't I seen you a long time ago?

Ehsan Yaghoubi, Diana Borza, Bruno Degardin, Hugo Proença

Image Vis. Comput., 2021

Guided Evolution for Neural Architecture Search.

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

CoRR, 2021

2020

Human Activity Analysis: Iterative Weak/Self-Supervised Learning Frameworks for Detecting Abnormal Events.

Bruno Degardin, Hugo Proença

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020