1 code implementation • 14 Apr 2021 • Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos
The exploitation of Deep Neural Networks (DNNs) as descriptors in feature learning challenges enjoys apparent popularity over the past few years.
no code implementations • 8 Aug 2020 • Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos
Efficient feature learning with Convolutional Neural Networks (CNNs) constitutes an increasingly imperative property since several challenging tasks of computer vision tend to require cascade schemes and modalities fusion.
1 code implementation • 30 Jun 2020 • Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos
One of the most prominent attributes of Neural Networks (NNs) constitutes their capability of learning to extract robust and descriptive features from high dimensional data, like images.
1 code implementation • 22 Jan 2020 • Nicholas Santavas, Ioannis Kansizoglou, Loukas Bampis, Evangelos Karakasis, Antonios Gasteratos
Vision based human pose estimation is an non-invasive technology for Human-Computer Interaction (HCI).