3 citations · 3 across the 2 of their papers we have counts for
5 papers
Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification
Dimitrios Tsourounis, Ilias Theodorakopoulos, Elias N. Zois +1
This paper introduces a novel approach to leverage the knowledge of existing expert models for training new Convolutional Neural Networks, on domains where task-specific data are l…
A comprehensive study of sparse representation techniques for offline signature verification
Elias N. Zois, Dimitrios Tsourounis, Ilias Theodorakopoulos +2
In this work, a feature extraction method for offline signature verification is presented that harnesses the power of sparse representation in order to deliver state-of-the-art ver…
Attention-Aware Generative Adversarial Networks (ATA-GANs)
Dimitris Kastaniotis, Ioanna Ntinou, Dimitrios Tsourounis +2
In this work, we present a novel approach for training Generative Adversarial Networks (GANs). Using the attention maps produced by a Teacher- Network we are able to improve the qu…
3D Shape Classification Using Collaborative Representation based Projections
F. Fotopoulou, S. Oikonomou, A. Papathanasiou +2
A novel 3D shape classification scheme, based on collaborative representation learning, is investigated in this work. A data-driven feature-extraction procedure, taking the form of…
On the definition of Shape Parts: a Dominant Sets Approach
Foteini Fotopoulou, George Economou
In the present paper a novel graph-based approach to the shape decomposition problem is addressed. The shape is appropriately transformed into a visibility graph enriched with loca…