6 citations · 7 across the 2 of their papers we have counts for
4 papers
Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification
Michail Tarasiou, Stefanos Zafeiriou
In training machine learning models for land cover semantic segmentation there is a stark contrast between the availability of satellite imagery to be used as inputs and ground tru…
DeepSatData: Building large scale datasets of satellite images for training machine learning models
Michail Tarasiou, Stefanos Zafeiriou
This report presents design considerations for automatically generating satellite imagery datasets for training machine learning models with emphasis placed on dense classification…
Extracting deep local features to detect manipulated images of human faces
Michail Tarasiou, Stefanos Zafeiriou
Recent developments in computer vision and machine learning have made it possible to create realistic manipulated videos of human faces, raising the issue of ensuring adequate prot…
Synthesising 3D Facial Motion from "In-the-Wild" Speech
Panagiotis Tzirakis, Athanasios Papaioannou, Alexander Lattas +3
Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies. Recently proposed methods tackle this p…