1 code implementation • 29 Mar 2023 • Vasco Lopes, Bruno Degardin, Luís A. Alexandre
We found that only a subset of the operation pool is required to generate architectures close to the upper-bound of the performance range.
no code implementations • 22 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.
Ranked #17 on Neural Architecture Search on NAS-Bench-201, CIFAR-100
1 code implementation • 28 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.
1 code implementation • 21 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).
Ranked #1 on Human action generation on Human3.6M
no code implementations • 14 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.
1 code implementation • 3 Jan 2021 • Bruno Degardin, Hugo Proença
The detection of abnormal events in surveillance footage remains a challenge and has been the scope of various research works.
Ranked #1 on Semi-supervised Anomaly Detection on UBI-Fights
1 code implementation • 23 Jul 2020 • Bruno Degardin
The main objective is to provide several solutions to the mentioned problems, by focusing on analyzing previous state-of-the-art methods and presenting an extensive overview to clarify the concepts employed on capturing normal and abnormal patterns.
Ranked #1 on Abnormal Event Detection In Video on UBI-Fights
Abnormal Event Detection In Video Anomaly Detection In Surveillance Videos +2